WO2020118518A1

WO2020118518A1 - Evaluation method for traffic management and control service indexes

Info

Publication number: WO2020118518A1
Application number: PCT/CN2018/120285
Authority: WO
Inventors: 关金平; 关志超; 须成忠
Original assignee: 深圳先进技术研究院
Priority date: 2018-12-11
Filing date: 2018-12-11
Publication date: 2020-06-18

Abstract

An evaluation method for traffic management and control service indexes. The method comprises: step a: constructing a traffic management and control service index indicator system for an urban traffic system according to a selected traffic management service index and traffic control service index (100); step b: designing a regional traffic and urban traffic big-data cloud computing platform (200); and step c: based on the regional traffic and urban traffic big data cloud computing platform, carrying out modeling according to the traffic management and control service index indicator association and evaluation to form an evaluation of the service level and service capacity of a traffic system (300). By means of the evaluation method, urban traffic and socio-economic rapid development can be accelerated, urban traffic capacity and residents' living standards can be optimized and improved, and the development goals of urban traffic system construction can be scientifically determined, so that urban traffic development and countermeasures are more accurate and effective.

Description

交通管理与控制服务指数的评价方法Evaluation method of traffic management and control service index

技术领域Technical field

本申请属于智能公共交通技术领域，特别涉及一种交通管理与控制服务指数的评价方法。This application belongs to the field of intelligent public transportation technology, and in particular relates to an evaluation method of a traffic management and control service index.

背景技术Background technique

当前，中国已进入新型城镇化建设与快速发展时期，党的“十九大”明确提出“交通强国建设”、“交通运输引领支撑社会经济发展”战略，提出构建现代综合交通运输体系的目标，将推广智能化技术在交通运输行业的应用作为一项重点工作内容。伴随着快速城市化发展进程，实施新型城镇化建设，从供给侧进行结构性改革，需求侧管理，着力降成本、补短板、高品质、强服务，更好地服务保障社会经济平稳健康发展。城市在转型，城市交通也在转型，交通***正处在由过去历史的、静态的小数据分析模式向实时的、动态的大数据研判模式的转变。At present, China has entered a period of new-type urbanization and rapid development. The party's "19th National Congress" clearly put forward the strategies of "building a powerful transportation country" and "leading transportation to support social and economic development", and proposed the goal of building a modern comprehensive transportation system. The promotion of the application of intelligent technology in the transportation industry is a key task. With the rapid urbanization development process, the implementation of new urbanization construction, structural reform from the supply side, demand-side management, focus on reducing costs, complementing shortcomings, high-quality, strong services, better services to ensure the stable and healthy development of social economy . The city is transforming, urban transportation is also transforming, and the transportation system is changing from the historical and static small data analysis mode to the real-time and dynamic big data research and judgment mode.

近年来，我国城市的快速城市化建设进程和城市机动化速度不断加快，对交通***需求迅猛增长，交通***问题也日益突出，成为城市社会经济发展的瓶颈问题。如何解决困扰城市发展的交通***问题，是摆在我国城市发展面前的严峻课题。In recent years, the rapid urbanization process of cities in my country and the speed of urban motorization are accelerating. The demand for the transportation system is growing rapidly, and the problems of the transportation system are becoming increasingly prominent. How to solve the traffic system problem that plagues the development of cities is a stern subject facing the development of cities in my country.

交通***管理与控制服务指数评价体系既是交通***管理与控制的评价体系，也是交通***治理处置引导体系。作为交通***服务指数体系，能够衡量一个城市不同时期交通管理与控制水平的变化，也能够评价同一时期不同城市交通管理与控制水平的差异。此外，以交通***管理与控制服务指数分析城市交通问题的关键症结和严重程度，以提高对症下药的治理方案科学性。作为交通***管理与控制的服务指数引导体系，它帮助交通规划、建设、管理与控制等相关政府部门建立***工程的方法，以及解决城市交通***问题的总体思路，给出解决城市交通问题的总体框架和城市交通管理与控制的发展前景，引导城市交通管理的科学化、现代化、国际化、一体化发展进程，进而引导交通***可持续发展的交通管理与控制服务体系建立。The traffic system management and control service index evaluation system is not only the evaluation system of traffic system management and control, but also the guidance system of traffic system governance and disposal. As a transportation system service index system, it can measure the changes of traffic management and control levels of a city in different periods, and can also evaluate the differences in traffic management and control levels of different cities in the same period. In addition, the transportation system management and control service index is used to analyze the key crux and severity of urban traffic problems, so as to improve the scientificity of the appropriate treatment plan. As a service index guidance system for transportation system management and control, it helps transportation planning, construction, management and control and other relevant government departments to establish system engineering methods, as well as general ideas for solving urban transportation system problems, and gives an overall solution to urban transportation problems. The framework and the development prospects of urban traffic management and control will guide the scientific, modern, international and integrated development of urban traffic management, and then guide the establishment of a sustainable traffic management and control service system for the transportation system.

交通管理与控制学科是随车辆与道路交通而生，由交通管理与交通控制两个部分构成；交通管理是对道路上的行车、停车、行人、道路使用，执行交通法规的“执法管理”，用交通工程技术措施对交通运行状况进行改善的“交通治理”统称；交通控制是依靠交通警察或采用交通信号控制设施，随交通变化特性来指挥车辆、行人的通行。从宏观上来说，交通控制是交通管理的某一表现方式，因此在现代交通管理中，交通管理与交通控制是一个有机结合的整体。交通管理与控制措施，按其是否具有法律意义，在性质上可分为两类：具有法律意义且必须强制执行的管理措施，是指在交通法规中规定的，为维护交通秩序，保障交通安全所必须的基本交通规则；用来改善交通状况的工程技术措施，这些措施本身不具有法律意义，但要使这些措施能得到有效实施，还需依靠具有法律意义的管理措施来强制执行，或依靠经济手段来诱导执行。The discipline of traffic management and control is born with vehicles and road traffic, and consists of two parts: traffic management and traffic control; traffic management is the "enforcement management" of traffic laws, parking, pedestrians, and road use, and the implementation of traffic regulations. "Traffic governance" that uses traffic engineering technical measures to improve traffic operation conditions is collectively referred to; traffic control is to rely on traffic police or use traffic signal control facilities to direct the passage of vehicles and pedestrians with the changing characteristics of traffic. From a macro perspective, traffic control is a certain expression of traffic management. Therefore, in modern traffic management, traffic management and traffic control are an organically integrated whole. Traffic management and control measures, according to whether they have legal significance, can be divided into two categories in nature: management measures that have legal significance and must be enforced refer to those prescribed in traffic regulations to maintain traffic order and ensure traffic safety Necessary basic traffic rules; engineering and technical measures used to improve traffic conditions. These measures themselves have no legal significance, but for these measures to be effectively implemented, they must also be enforced by legally meaningful management measures, or rely on Economic means to induce execution.

随着社会及小汽车工业的发展，交通管理与控制的目的也在不断变化。初期的交通管理是最基本的交通要求，即保障交通安全。随着车辆保有量的增加，道路上出现了车辆拥挤、阻塞现象，在保障交通安全的基础上，还要求交通管理与控制达到疏导交通、保障交通畅通。在采取了疏导交通之后，车辆依然在不断地增长，交通拥挤、交通安全、交通污染现象日趋严重；道路交通工程设施的建设速度总是跟不上车辆增长的速度，现有的道路交通设施的交通效率总是有限。因此，近年来在交通管理与控制领域产生了一种新思路，即通过采用交通需求管理的方法，来控制道路上的汽车交通量需求。现代化交通管理与控制服务指数的目的是除了为保障交通安全、疏导交通、提高现有交通设施的通车效率的传统目的外，着重采取各种交通需求管理措施来减少道路上的车辆交通总量、缓解交通拥堵、保障交通安全与畅通，并降低汽车对交通环境的污染，实现采用数字量化衡量交通管理与控制服务水平以及服务模式的趋势。With the development of society and the car industry, the purpose of traffic management and control is constantly changing. The initial traffic management is the most basic traffic requirement, which is to ensure traffic safety. With the increase in the number of vehicles, vehicle congestion and congestion have appeared on the roads. On the basis of ensuring traffic safety, traffic management and control are also required to facilitate traffic and ensure smooth traffic. After adopting traffic diversion, vehicles are still growing, traffic congestion, traffic safety, and traffic pollution are becoming more and more serious; the construction speed of road traffic engineering facilities is always unable to keep up with the growth rate of vehicles. Traffic efficiency is always limited. Therefore, in recent years, a new idea has emerged in the field of traffic management and control, that is, to adopt the method of traffic demand management to control the demand for automobile traffic on the road. The purpose of the modern traffic management and control service index is to focus on adopting various traffic demand management measures to reduce the total amount of vehicle traffic on the road, in addition to the traditional purposes of ensuring traffic safety, channeling traffic, and improving the efficiency of existing traffic facilities. Alleviate traffic congestion, ensure traffic safety and smoothness, and reduce the pollution of cars to the traffic environment, and realize the trend of using digital quantitative measurement of traffic management and control service levels and service models.

交通管理与控制是一个新型的学科领域，包括交通管理、交通控制、交通诱导、交通事故、交通教育、交通执法、交通信息工程、交通大数据云计算、人工智能、交通指挥机器人、交通云机器人、深度学***等诸多方面得到反映。此外，城市交通结构的合理化，城市土地利用的调整以及管理体制、交通投资、交通规划的制定与措施均是解决交通***问题不可缺少的重要内容。在评价交通管理与控制时，必须采取多目标原则，对影响道路交通管理水平的各个方面进行定量计算和定性分析，确定评价标准和方法，综合评价整个交通管理与控制的总体水平和能力。所以，选取交通管理与控制服务指数指标体系时，既要注重交通管理效果评价，也要注重管理手段、管理过程的科学指导。Traffic management and control is a new discipline, including traffic management, traffic control, traffic guidance, traffic accidents, traffic education, traffic law enforcement, traffic information engineering, traffic big data cloud computing, artificial intelligence, traffic command robots, traffic cloud robots , Deep learning and other interdisciplinary composite comprehensive technologies, the management and control effects can be reflected in many aspects such as traffic order, traffic congestion, traffic accidents, and traffic service levels. In addition, the rationalization of the urban transportation structure, the adjustment of urban land use and the formulation and measures of management systems, transportation investment, and transportation planning are all indispensable important elements for solving the problems of the transportation system. When evaluating traffic management and control, the multi-objective principle must be adopted to quantitatively calculate and qualitatively analyze various aspects that affect the level of road traffic management, determine evaluation criteria and methods, and comprehensively evaluate the overall level and capability of the entire traffic management and control. Therefore, when selecting the index system of traffic management and control service index, it is necessary to pay attention not only to the evaluation of traffic management effects, but also to the scientific guidance of management methods and management processes.

现有的大数据环境交通管理与控制服务指数方法及***主要存在以下缺点：The existing big data environment traffic management and control service index method and system mainly have the following disadvantages:

1、当前，交通服务指数领域中通常是采用向市民发放交通出行问卷、归纳统计分析整理问卷后，来发布城市与区域交通服务指数方式进行的。这种方式存在着发放问卷调查周期长、问卷发放范围与取样比例不足、对问卷的问题回答不十分准确、不能进行连续动态对交通服务数据及时进行评价等问题。1. At present, in the field of transportation service index, the urban and regional transportation service index is released by issuing the transportation questionnaire to the citizens, summarizing the statistical analysis and sorting out the questionnaire. This method has the problems of long questionnaire survey cycle, insufficient questionnaire scope and sampling ratio, inaccurate answers to questionnaires, and continuous and dynamic evaluation of transportation service data.

2、在城市道路交通指数单一方面，虽然有了个别的道路交通指数发明，但是对于城市交通体系整体服务指数上，缺乏全面性、***性的总体评价与总体描述城市交通运输体系服务的一体化、可量化、可视化的交通管理与控制服务指数方法发明提出，明显缺乏全面评价城市交通与区域交通服务指数的方法与***。2. In the single aspect of the urban road traffic index, although there are individual road traffic index inventions, the overall service index of the urban transportation system lacks a comprehensive and systematic overall evaluation and overall description of the integration of urban transportation system services The invention of a method for the management of traffic management and control service index based on quantization, quantification and visualization clearly proposes that there is obviously a lack of a method and system for comprehensive evaluation of urban traffic and regional traffic service index.

3、国外发达国家对城市交通服务水平的评价进行了***和周密的研究，形成了较完整的体系，但是构建基于交通大数据实时发布交通管理与控制服务指数的方法与***模式还属空白。在这些国家中城市交通服务水平的指标体系已经成为编制城市交通规划的重要依据，也是政府部门为交通运输企业制订运营任务和目标的工具，更是公众市民对城市交通***服务进行监督和评价标准的手段。3. The developed countries have carried out systematic and thorough research on the evaluation of urban traffic service levels, forming a relatively complete system, but the method and system model for building real-time traffic management and control service index based on traffic big data is still blank. In these countries, the index system of urban transportation service level has become an important basis for the preparation of urban transportation planning, and it is also a tool for government departments to formulate operational tasks and goals for transportation enterprises. It is also a standard for public citizens to supervise and evaluate urban transportation system services. s method.

4、国内目前依然缺乏***地评价城市交通服务水平的指标体系，《城市道路交通规划设计规范》中有关城市交通的章节，其内容侧重于交通设施规划，涉及的指标也多为设施配置与建设指标，并不是城市交通运行服务指标，特别是当前城市交通转型期就更不适用。也有学者在研究城市交通发展水平方面，提出综合评价指标体系时提出一些的运营服务水平指标，然而这些服务水平指标的提及并没有进行与选择交通方式的行为决策过程结合起来，缺乏交通行为(交通行为的运作、交通行为的通道、交通行为的控制与保障)的分析研判，也没有涉及到城市交通服务水平指标等级的划分与确定，更没有建立交通大数据环境下实时发布交通管理与控制服务指数的方法与***。4. At present, there is still a lack of an index system for systematic evaluation of urban transportation service levels in China. The chapter on urban transportation in the "Code for Design of Urban Road Transportation Planning" focuses on transportation facility planning, and the indicators involved are mostly facility allocation and construction. Indicators are not indicators of urban transportation operation services, especially in the current urban transportation transformation period. Some scholars have put forward some operational service level indicators when they put forward a comprehensive evaluation index system in the study of urban transportation development level. However, the mention of these service level indicators has not been combined with the behavioral decision-making process of selecting transportation methods, and lacks traffic behavior ( The analysis and judgment of the operation of traffic behaviors, the channels of traffic behaviors, the control and guarantee of traffic behaviors, nor the classification and determination of the index level of urban traffic service levels, nor the establishment of real-time traffic management and control under the traffic big data environment. Method and system of service index.

综上所述，国内外在大数据环境交通管理与控制服务指数方法及***上，尚未见到完整的、一体化的、可量化的、可视化的发明记载。我国在城市交通服务水平指标体系研究方面和基于交通大数据交通管理与控制服务指数的方法相对滞后的状况，严重影响了城市交通***建设和健康发展，特别是公众出行对城市交通***服务水平监督的需求满足。因此，迫切需要提供可量化、可视化指标体系的方法对交通***服务进行分析与研判。In summary, at home and abroad, there has not been a complete, integrated, quantifiable, and visual record of inventions in the big data environment traffic management and control service index method and system. The relatively lagging situation in the research on the index system of urban traffic service level and the method of traffic management and control service index based on traffic big data in China has seriously affected the construction and healthy development of the urban traffic system, especially the public travel supervision of the urban traffic system service level The needs are met. Therefore, there is an urgent need to provide a quantifiable and visual indicator system to analyze and judge traffic system services.

发明内容Summary of the invention

本申请提供了一种交通管理与控制服务指数的评价方法，旨在至少在一定程度上解决现有技术中的上述技术问题之一。The present application provides an evaluation method of a traffic management and control service index, which aims to solve at least a certain degree of one of the above technical problems in the prior art.

为了解决上述问题，本申请提供了如下技术方案：一种交通管理与控制服务指数的评价方法，包括：In order to solve the above problems, this application provides the following technical solutions: An evaluation method of the traffic management and control service index, including:

步骤a：根据选取的交通管理服务指数及交通控制服务指数构建城市交通***的交通管理与控制服务指数指标体系；Step a: According to the selected traffic management service index and traffic control service index, construct the traffic management and control service index index system of the urban transportation system;

步骤b：设计区域交通与城市交通大数据云计算平台；Step b: Design big data cloud computing platform for regional transportation and urban transportation;

步骤c：基于区域交通与城市交通大数据云计算平台，根据交通管理与控制服务指数指标关联与评价进行建模，形成对交通***服务水平和服务能力的评价。Step c: Based on the regional transportation and urban transportation big data cloud computing platform, modeling is carried out according to the correlation and evaluation of the traffic management and control service index indicators to form an evaluation of the service level and service capacity of the transportation system.

本申请实施例采取的技术方案还包括：选取的交通管理服务指数包括：交通行政管理服务指数、交通秩序管理服务指数、交通运行管理服务指数、交通优先管理服务指数、交通***管理服务指数、交通需求管理服务指数、交通事件管理服务指数、交通拥挤管理服务指数、道路交通***运行指数、轨道交通***服务指数、常规公交***服务指数、出租车公交服务指数、自行车公交服务指数、快速公交BRT服务指数、公交专用道服务指数、交通信息发布服务指数、交通设施管养服务指数、停车管理***服务指数。The technical solutions adopted in the embodiments of the present application also include: selected traffic management service indexes include: traffic administrative management service index, traffic order management service index, traffic operation management service index, traffic priority management service index, traffic system management service index, traffic Demand Management Service Index, Traffic Incident Management Service Index, Traffic Congestion Management Service Index, Road Traffic System Operation Index, Rail Transit System Service Index, Conventional Bus System Service Index, Taxi Bus Service Index, Bicycle Bus Service Index, BRT BRT Service Index, bus lane service index, traffic information release service index, transportation facility maintenance service index, parking management system service index.

本申请实施例采取的技术方案还包括：在所述步骤a中，选取的交通控制服务指数包括：交叉口信号控制运行指数、交叉口通行能力服务指数、交叉口延误控制服务指数、交叉口排队长度监控服务指数、交叉口潮汐车道诱导服务指数、交叉口渠化设计服务指数、交叉口相位设计服务指数、交叉***通流控制服务指数、关键路段协调控制服务指数、公交优先信号控制服务指数、城市快速路控制服务指数、交叉口智能控制指挥机器人、智能车路协同管控云机器人、区域交通信号控制服务指数、城市交通事件控制服务指数、高速公路交通控制服务指数、交通行为管理控制服务指数、城市安全交通控制服务指数。The technical solution adopted in the embodiment of the present application further includes: In the step a, the selected traffic control service index includes: intersection signal control operation index, intersection capacity service index, intersection delay control service index, intersection queuing Length monitoring service index, intersection tidal lane guidance service index, intersection channelization design service index, intersection phase design service index, intersection traffic flow control service index, key road coordination control service index, bus priority signal control service index, Urban expressway control service index, intersection intelligent control command robot, intelligent vehicle road collaborative management and control cloud robot, regional traffic signal control service index, urban traffic incident control service index, highway traffic control service index, traffic behavior management control service index, Urban safety traffic control service index.

本申请实施例采取的技术方案还包括：所述步骤b具体包括：根据交通大数据云计算引擎，构建分布式计算结构、交通管理与控制服务指数关联的NOSQL数据库；采用人工智能的深度学***台即服务PaaS、软件即服务SaaS、容器即服务CaaS的交通大数据云计算平台。The technical solution adopted in the embodiment of the present application further includes: the step b specifically includes: constructing a distributed computing structure, a NOSQL database associated with traffic management and control service index according to the traffic big data cloud computing engine; deep learning technology using artificial intelligence , Under the virtualization and Docker container model, build a traffic management and control service index information release environment; architecture design infrastructure as a service IaaS, platform as a service PaaS, software as a service SaaS, container as a service CaaS traffic big data cloud computing platform .

本申请实施例采取的技术方案还包括：在所述步骤c中，所述根据交通管理与控制服务指数指标关联与评价进行建模采用：多目标决策方法、层次分析法、单纯矩阵评价法、模糊分析法、广义函数法、加权相对偏差距离最小法、集合分析法、模糊综合评判法、主成分分析法和/或因子分析法。The technical solution adopted in the embodiment of the present application further includes: in the step c, the modeling according to the association and evaluation of the traffic management and control service index indicators adopts: multi-objective decision-making method, analytic hierarchy process, simple matrix evaluation method, Fuzzy analysis method, generalized function method, weighted relative deviation distance minimum method, set analysis method, fuzzy comprehensive evaluation method, principal component analysis method and/or factor analysis method.

本申请实施例采取的技术方案还包括：所述层次分析法用于建立交通管理与控制服务指数评价决策体系的分层评价结构，并利用服务指数评价指标与交通大数据关联性匹配所得到的判断矩阵求出各项评价指标的权重。The technical solutions adopted in the embodiments of the present application also include: the analytic hierarchy process is used to establish a hierarchical evaluation structure of the traffic management and control service index evaluation and decision-making system, and the result obtained by matching the correlation between the service index evaluation index and the traffic big data The judgment matrix calculates the weight of each evaluation index.

本申请实施例采取的技术方案还包括：所述单纯矩阵评价法是利用服务指数评价指标与交通大数据关联性匹配所得到的判断矩阵确定各个城市交通系统服务指数评价指标得分，用于可量化的定性指标确定；所述模糊分析法是利用判断矩阵对各个城市交通管理与控制服务指数评价指标排序。The technical solutions adopted in the embodiments of the present application further include: the simple matrix evaluation method is to use the judgment matrix obtained by matching the service index evaluation index with the traffic big data to determine the score of each urban transportation system service index evaluation index for quantifiable The qualitative index is determined; the fuzzy analysis method is to use the judgment matrix to rank the evaluation indicators of each urban traffic management and control service index.

本申请实施例采取的技术方案还包括：所述广义函数法是在已知权重和所有城市交通管理与控制服务指数的各项指标值后，经过分级标定，把指标值转化为得分，然后采用加权求和的方法得到总分；所述加权相对偏差距离最小法是在已知权重和所有城市交通管理与控制服务指数评价的各项指标值后，构造“虚拟最佳城市交通***”，以各个实际城市与“虚拟最佳城市交通***”的加权相对偏差距离大小来判断各个城市交通管理与控制服务指数的优劣。The technical solutions adopted in the embodiments of the present application also include: The generalized function method is to convert the index value into a score after grading calibration after the weights and all index values of all urban traffic management and control service indexes are known, and then adopt The weighted sum method obtains the total score; the weighted relative deviation distance minimum method is to construct the "virtual optimal urban transportation system" after the weights and all index values of all urban traffic management and control service index evaluations are known. The weighted relative deviation distance between each actual city and the "virtual optimal urban transportation system" is used to judge the merits of each urban transportation management and control service index.

本申请实施例采取的技术方案还包括：所述集合分析法是在已知交通管理与控制服务指数评价指标值矩阵和权重后，由排序矩阵、指数矩阵得到城市交通管理与控制服务指数的排序；所述模糊综合评判法是依次确定因素集、判断集，并通过单因素评判得到模糊矩阵，用模糊矩阵与权重向量共同得到交通管理与控制服务指数综合评判结果。The technical solution adopted in the embodiment of the present application further includes: the set analysis method is to obtain the ranking of the urban traffic management and control service index from the ranking matrix and the index matrix after the matrix and weight of the evaluation index value of the traffic management and control service index are known The fuzzy comprehensive evaluation method is to determine the factor set and the judgment set in turn, and obtain the fuzzy matrix through single factor evaluation, and use the fuzzy matrix and the weight vector to obtain the comprehensive evaluation result of the traffic management and control service index.

本申请实施例采取的技术方案还包括：所述主成分分析法和因子分析法都是在已知多个样本数据条件下，计算各个指标的相关矩阵，得到主成分或主因子，从而确定交通管理与控制服务指数综合评价指标的计算。The technical solutions adopted in the embodiments of the present application also include: the principal component analysis method and the factor analysis method both calculate the correlation matrix of each index under the condition of known multiple sample data to obtain the principal component or the principal factor to determine the traffic management Calculation of the comprehensive evaluation index with the control service index.

相对于现有技术，本申请实施例产生的有益效果在于：本申请实施例的交通管理与控制服务指数的评价方法根据城市交通与区域交通整体评价指标体系任务，建立必要的指数评价指标与相关交通***属性进行关联，每一种关联模式所建立的评价指标与交通大数据云计算平台信息源池里的直接与间接关联数据建立对应关系，城市交通与区域交通***的管理与控制服务指数就可以通过选取的关联数据的阈值及变化，评价不同城市、不同区域的交通***管理与控制服务水平及能力，面向政府部门、行业企业、公众市民提供科学决策的技术手段与可视化工具；本申请实施例的交通管理与控制服务指数的评价方法能加速促进城市交通与社会经济快速发展、优化提升城市交通能力与居民生活水平，科学决策城市交通***建设发展目标，使城市交通发展与对策更加精准有效。Compared with the prior art, the beneficial effects produced by the embodiments of the present application are: the evaluation method of the traffic management and control service index of the embodiments of the present application establishes the necessary index evaluation indicators and related Traffic system attributes are correlated. The evaluation index established by each correlation mode is directly related to the direct and indirect related data in the information source pool of the traffic big data cloud computing platform. The management and control service index of urban traffic and regional traffic system is Through the selection of thresholds and changes in the associated data, we can evaluate the traffic system management and control service levels and capabilities of different cities and regions, and provide government decision-making, industrial enterprises, and public citizens with scientific decision-making technical tools and visualization tools; this application is implemented For example, the evaluation method of traffic management and control service index can accelerate the rapid development of urban transportation and social economy, optimize and improve urban transportation capacity and residents' living standards, scientifically decide the development goals of urban transportation system construction, and make urban transportation development and countermeasures more accurate and effective .

附图说明BRIEF DESCRIPTION

图1是本申请实施例的交通管理与控制服务指数的评价方法的流程图；1 is a flowchart of an evaluation method of a traffic management and control service index according to an embodiment of the present application;

图2是本申请实施例的交通管理与控制服务指数的评价体系结构示意图；2 is a schematic diagram of an evaluation system structure of a traffic management and control service index according to an embodiment of the present application;

图3是本申请实施例的交通管理与控制服务指数的评价体系首页界面模式图；3 is a schematic diagram of the home page interface of the evaluation system of the traffic management and control service index according to an embodiment of the present application;

图4是深圳市城市道路交通网络运行指数发布图；Figure 4 is a chart of the Shenzhen City Road Traffic Network Operation Index;

图5是深圳市城市道路交通拥堵区域运行指数发布图。Figure 5 is a map of Shenzhen City Road Traffic Congestion Area Operation Index.

具体实施方式detailed description

为了使本申请的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本申请进行进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本申请，并不用于限定本申请。In order to make the purpose, technical solutions and advantages of the present application more clear, the present application will be described in further detail in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, and are not used to limit the present application.

请参阅图1，是本申请实施例的交通管理与控制服务指数的评价方法的流程图。本申请实施例的交通管理与控制服务指数的评价方法包括以下步骤：Please refer to FIG. 1, which is a flowchart of an evaluation method of a traffic management and control service index according to an embodiment of the present application. The evaluation method of the traffic management and control service index in the embodiment of the present application includes the following steps:

步骤100：根据选取的交通管理服务指数及交通控制服务指数构建城市交通***的交通管理与控制服务指数指标体系；Step 100: According to the selected traffic management service index and traffic control service index, construct the traffic management and control service index index system of the urban traffic system;

在步骤100中，城市交通***主要由城市运输***(交通行为的运作***)、城市道路***(交通行为的通道***)和城市交通管理***(交通行为的控制与保障***)所组成，城市道路***是为城市运输***完成交通行为而服务的，城市交通管理***则是整个城市交通***正常、高效运转的保证。城市交通***是城市社会、经济和物质结构的基本组成部分，城市交通***把分散在城市各处的城市生产活动、生活活动连接起来，在组织生产、安排生活、提高城市客流与货流的有效运转以及促进城市经济发展方面起着十分重要的作用。城市的布局结构、规模大小、乃至城市的生活方式都需要一个城市交通***的支撑。构建的交通管理与控制服务指数评价指标***具体见下表：In step 100, the urban transportation system is mainly composed of an urban transportation system (traffic behavior operation system), an urban road system (traffic behavior passage system), and an urban traffic management system (traffic behavior control and security system). The system serves the urban transportation system to complete the traffic behavior, and the urban transportation management system is the guarantee for the normal and efficient operation of the entire urban transportation system. The urban transportation system is a basic part of the urban social, economic and material structure. The urban transportation system connects the urban production activities and life activities scattered throughout the city, and is effective in organizing production, arranging life, and improving urban passenger flow and freight flow. It plays a very important role in the operation and promotion of urban economic development. The city's layout structure, scale, and even the city's lifestyle all require the support of an urban transportation system. The construction of the evaluation index system of the traffic management and control service index is shown in the following table:

选取的交通管理服务指数主要包括18个种类：交通行政管理服务指数、交通秩序管理服务指数、交通运行管理服务指数、交通优先管理服务指数、交通***管理服务指数、交通需求管理服务指数、交通事件管理服务指数、交通拥挤管理服务指数、道路交通***运行指数、轨道交通***服务指数、常规公交***服务指数、出租车公交服务指数、自行车公交服务指数、快速公交BRT服务指数、公交专用道服务指数、交通信息发布服务指数、交通设施管养服务指数、停车管理***服务指数。The selected traffic management service index mainly includes 18 categories: traffic administrative management service index, traffic order management service index, traffic operation management service index, traffic priority management service index, traffic system management service index, traffic demand management service index, traffic incidents Management service index, traffic congestion management service index, road traffic system operation index, rail transit system service index, conventional bus system service index, taxi bus service index, bicycle bus service index, BRT BRT service index, bus lane service index , Traffic information release service index, traffic facility management service index, parking management system service index.

选取的交通控制服务指数主要包括18个种类：交叉口信号控制运行指数、交叉口通行能力服务指数、交叉口延误控制服务指数、交叉口排队长度监控服务指数、交叉口潮汐车道诱导服务指数、交叉口渠化设计服务指数、交叉口相位设计服务指数、交叉***通流控制服务指数、关键路段协调控制服务指数、公交优先信号控制服务指数、城市快速路控制服务指数、交叉口智能控制指挥机器人、智能车路协同管控云机器人、区域交通信号控制服务指数、城市交通事件控制服务指数、高速公路交通控制服务指数、交通行为管理控制服务指数、城市安全交通控制服务指数。The selected traffic control service index mainly includes 18 categories: intersection signal control operation index, intersection capacity service index, intersection delay control service index, intersection queue length monitoring service index, intersection tide lane guidance service index, intersection Intersection channelization design service index, intersection phase design service index, intersection traffic flow control service index, key road coordination control service index, bus priority signal control service index, urban expressway control service index, intersection intelligent control command robot, Intelligent vehicle-road collaborative management and control cloud robot, regional traffic signal control service index, urban traffic event control service index, highway traffic control service index, traffic behavior management control service index, and urban safety traffic control service index.

步骤200：设计区域交通与城市交通大数据云计算平台；Step 200: Design a big data cloud computing platform for regional transportation and urban transportation;

在步骤200中：面对交通管理与控制服务指数方法及***，需要依托交通大数据云计算平台信息源池环境建设，区域交通与城市交通大数据云计算平台如图2所示。设计区域交通与城市利用交通大数据云计算引擎，构建分布式计算结构、交通管理与控制服务指数关联的NOSQL数据库、采用人工智能的深度学***台即服务PaaS/软件即服务SaaS/容器即服务CaaS的交通大数据云计算平台。实现区域交通与城市交通的管理与控制服务指数建立规模更大、种类更多、结构更复杂的关联性数据；构建交通大数据的资源化模型；促进交通管理与控制服务指数的评价参与更多学科、更复合型、更交叉化、更跨行业的融合；是交通管理与控制服务指数更面向交通大数据、更趋于实时动态在线的分析研判技术发展；基于交通大数据云计算平台更有效地实现交通管理与控制服务指数的可视化描述与展示；完成更多维度、更多视角、更多模式的交通管理与控制服务能力的提升，提高以人为本的分析研判评价交通管理与控制服务指数水平和能力。In step 200: Facing the traffic management and control service index method and system, it is necessary to build on the information source pool environment construction of the transportation big data cloud computing platform. The regional transportation and urban transportation big data cloud computing platform is shown in FIG. 2. Design regional transportation and cities to use the transportation big data cloud computing engine to build a distributed computing structure, a NOSQL database associated with traffic management and control service index, deep learning technology using artificial intelligence, and build Web2 under virtualization and Docker container mode. 0Traffic management and control service index information release environment; meanwhile, architecture design infrastructure as a service IaaS/platform as a service PaaS/software as a service SaaS/container as a service CaaS traffic big data cloud computing platform. Realize the management and control service index of regional traffic and urban traffic. Establish larger scale, more types, and more complex structure of related data; construct a resourceful model of traffic big data; promote the evaluation of traffic management and control service index to participate more Discipline, more complex, more cross-cutting, and more cross-industry integration; the traffic management and control service index is more oriented to the development of traffic big data and more inclined to real-time dynamic online analysis and judgment technology; the cloud computing platform based on traffic big data is more effective Realize the visual description and display of the traffic management and control service index; complete the improvement of traffic management and control service capabilities in more dimensions, more perspectives, and more models, and improve the level of human-oriented analysis and evaluation of the traffic management and control service index and ability.

数据引擎层完成对交通大数据进行收集、存储、计算、挖掘和管理。针对交通管理与控制服务指数评价应用中具体数据处理策略、算法设计和性能提升进行优化和实现。根据城市大数据的特性，研究时空大数据及智能交通领域中MapReduce、流式计算、内存计算、图计算等并行计算模式，搭建面向时空大数据的实时处理和非实时处理相结合的混合架构；实现挖掘算法的并行化，提升计算速度；实现对动态、多源、多尺度时空数据的可量化、可视化展现，服务于实际应用。The data engine layer completes the collection, storage, calculation, mining and management of transportation big data. Optimize and implement specific data processing strategies, algorithm design and performance improvement in traffic management and control service index evaluation applications. According to the characteristics of urban big data, study parallel computing modes such as MapReduce, streaming computing, memory computing, graph computing in the field of spatio-temporal big data and intelligent transportation, and build a hybrid architecture that combines real-time processing and non-real-time processing for spatio-temporal big data; Realize the parallelization of mining algorithms and improve the calculation speed; realize the quantifiable and visual display of dynamic, multi-source, and multi-scale spatio-temporal data to serve practical applications.

交通大数据云计算平台支持在线分析和离线分析、支持多种分析算法的实现、支持地理信息数据的导入导出以及查询计算，可完成相关可量化、可视化展现和应用服务。支持多种数据的导入和接入。包括出租车轨迹与运营数据、公交车和地铁智能卡数据、公交车轨迹数据、货车轨迹数据、手机话单数据等。数据性质包括实时数据和历史数据。支持数据的清洗和预处理，融合挖掘分析。支持包括地理信息数据的匹配、地理图层叠加、区域划分等相关可视化方法，为算法研究和结果验证提供了可视化平台基础。The transportation big data cloud computing platform supports online analysis and offline analysis, supports the implementation of multiple analysis algorithms, supports the import and export of geographic information data and query calculations, and can complete related quantifiable, visual display and application services. Support the import and access of multiple data. Including taxi trajectory and operation data, bus and subway smart card data, bus trajectory data, truck trajectory data, mobile phone bill data, etc. The nature of data includes real-time data and historical data. Support data cleaning and pre-processing, fusion mining analysis. It supports related visualization methods including geographic information data matching, geographic layer overlay, region division, etc., and provides a visual platform foundation for algorithm research and result verification.

针对传统数据中心架构面临的主要挑战以及对数据中心的理解，分布式云平台数据中心的总体架构设计主要包括两类数据中心：第一是策略与备份节点类数据中心，第二是分布式业务节点类数据中心。在物理上两者可以合设，也可以分开。In response to the main challenges faced by the traditional data center architecture and the understanding of the data center, the overall architecture design of the distributed cloud platform data center mainly includes two types of data centers: the first is the strategy and backup node data center, and the second is the distributed business Node data center. Physically, the two can be co-located or separated.

策略与备份类节点数据中心，负责承载整个数据数据中心的统一管理、备份及全局数据共享：统一Portal入口，提供全局跨多个分布式数据中心基础设施资源状态信息统一管理Portal，以及全局容灾与业务请求路由策略的管理界面；在多个数据中心之间共享的公共数据(如用户签约预认证数据、内部子网间结算数据、运营商间结算数据等)；在线业务应用主用数据的备份数据、历史归档以及日志数据等，以及依托这些数据进行初步BI分析与挖掘的平台和应用逻辑；为加速数据访问，分布式节点数据中心会缓存频繁访问的策略与备份的共享数据镜像拷贝，同时将策略与备份节点的数据变更同步到分布式节点侧。Policy and backup node data center, responsible for carrying the unified management, backup and global data sharing of the entire data data center: unified Portal portal, providing global unified management of Portal resource status information across multiple distributed data centers, and global disaster recovery Management interface with business request routing strategy; public data shared between multiple data centers (such as user signing pre-authentication data, inter-subnet settlement data, inter-operator settlement data, etc.); online business application main data Backup data, historical archives, log data, etc., as well as platforms and application logic that rely on these data for preliminary BI analysis and mining; to speed up data access, distributed node data centers will cache frequently accessed strategies and backup shared data mirror copies, At the same time, the policy and backup node data changes are synchronized to the distributed node side.

分布式业务节点类数据中心，负责承载在线业务应用(Online Carrier Applications)，以及在线内部IT办公自动化及ERP/CRM/SCM/PLM/HRM类等应用，支撑应用的各类中间件(数据库、web框架、SDP等)，及上述应用所需读写与访问的***配置数据，用户签约数据以及交通领域媒体类数据(如个人邮箱、电子书、相片、视频、博客内容等)。Distributed business node data center, responsible for carrying online business applications (Online Carrier Applications), as well as online internal IT office automation and ERP/CRM/SCM/PLM/HRM and other applications, supporting various types of middleware (database, web) Framework, SDP, etc.), and system configuration data for reading, writing, and accessing required by the above applications, user subscription data, and media data in the transportation field (such as personal mailboxes, e-books, photos, videos, blog content, etc.).

步骤300：基于区域交通与城市交通大数据云计算平台，根据交通管理与控制服务指数指标关联与评价进行建模，形成对交通***服务水平和服务能力的评价。Step 300: Based on the regional transportation and urban transportation big data cloud computing platform, modeling is performed according to the correlation and evaluation of the traffic management and control service index indicators to form an evaluation of the service level and service capability of the transportation system.

在步骤300中，交通管理与控制服务指数评价指标体系主要是建立在交通管理服务指数方面和交通控制服务指数两个方面进行关联设计，两个方面的服务指数评价指标分别建立在交通管理与控制领域内容。交通管理与控制服务指数评价的指标体系种类设计，关系到交通管理与控制服务的有效性和服务水平的科学性评价，基于交通管理与控制学科的专业性评价指标含义，建立基于交通大数据云计算的服务指数评价指标体系，详见如下表所示。In step 300, the traffic management and control service index evaluation index system is mainly based on the traffic management service index and the traffic control service index. The two aspects of the service index evaluation index are based on traffic management and control. Field content. The design of the index system of traffic management and control service index evaluation is related to the scientific evaluation of the effectiveness and service level of traffic management and control services. Based on the meaning of the professional evaluation indicators in the discipline of traffic management and control, the establishment of a traffic-based big data cloud The calculated service index evaluation index system is shown in the following table.

交通管理与控制服务指数评价指标体系关联结构设计，基于这一评价指标体系关联结构，可以建立交通管理与控制服务指数可量化、可视化的评价指标体系。交通管理与控制服务指数评价模型和评价方法是在交通***服务指数评价指标体系建立后，基于交通大数据云计算平台，建立交通管理与控制服务数评价指标与交通大数据的匹配关联性评价建模，形成对交通***服务水平和服务能力的评价方法，这是衡量交通***管理与控制高品质提升的可量化、可视化重要方法，主要包括多目标决策方法、层次分析法、广义函数法及评价方法的应用与选择。上述的交通管理与控制服务指数评价的指标体系种类内容中，没有哪一个指标能够单独作为评价整个交通***的依据。因此，还需要建立一个综合性指标，它能够全面地反映交通***状况，以利于各个城市交通***之间或同一城市交通***不同时期之间比较。多目标决策是具有两个以上的决策目标，并且需用多种标准来评价和优选方案的决策。大多是交通管理与控制服务指数评价决策中最重要的战略决策。例如一个重大交通***项目的决策，就要考虑经济效益、社会效益、安全施工与环境保护等多方面的目标，需要用多种标准进行评价方案和优选方案。其特点是：第一，由于目标和标准的多样性，造成方案比较优劣的工作比较复杂，难以找到使所有目标达到最佳的方案；第二，决策过程是从淘汰较差方案开始，在剩下的方案中选取满意的方案，用满意标准取代最优标准。多目标决策法的基本原理：从人们在多目标条件下合理进行决策的过程和机制，多目标决策的理论主要有：多目标决策过程的分析和描述；冲突性的分解和理想点转移的理论；多属性效用理论；需求的多重性和层次性理论等，它们是构成多目标决策分析方法的理论基础。在多目标决策中，有一部分方案经比较后可以淘汰，称为劣解；但还有一批方案既不能淘汰，又不能互相比较，从多目标上考虑又都不是最优解，称为“非劣解”(或“有效解”、“帕累托解”)。决策分析是在交通***规划、建设、管理、运行阶段为解决当前或未来可能发生的问题，在若干可选的方案中选择和决定最佳方案的一种分析过程。在交通经济***的研究管理与控制过程中我们所面临的交通***决策问题常常是多目标的，例如我们在研究交通运输组织生产过程的组织决策时，既要考虑交通***的运输能力最大，又要使运输服务质量高，运输成本低等。这些目标之间相互作用和矛盾，使决策过程相当复杂，使决策者常常很难轻易作出决策。这类具有多个目标的决策总称就是多目标决策，多目标决策方法现已广泛地应用于交通运输工程、智能交通工程等领域。The associative structure design of the evaluation index system of the traffic management and control service index. Based on this associative structure of the evaluation index system, a quantifiable and visual evaluation index system of the traffic management and control service index can be established. The traffic management and control service index evaluation model and evaluation method is based on the establishment of the traffic system service index evaluation index system, based on the traffic big data cloud computing platform, to establish a matching correlation evaluation evaluation index of traffic management and control service number and traffic big data. Model to form an evaluation method for the service level and service capability of the transportation system. This is an important method to measure the high-quality improvement of transportation system management and control. It mainly includes multi-objective decision-making methods, analytic hierarchy process, generalized function method and evaluation. Application and selection of methods. Among the types of index systems for the above traffic management and control service index evaluation, no single index can be used as the basis for evaluating the entire transportation system. Therefore, it is also necessary to establish a comprehensive indicator that can comprehensively reflect the status of the transportation system, so as to facilitate comparison between various urban transportation systems or between different periods of the same urban transportation system. Multi-objective decision-making is a decision that has more than two decision-making goals, and needs to use a variety of criteria to evaluate and optimize the program. Most of them are the most important strategic decisions in traffic management and control service index evaluation decisions. For example, in the decision-making of a major transportation system project, it is necessary to consider the economic, social benefits, safe construction and environmental protection and other objectives. It is necessary to use a variety of criteria for evaluation and optimization. Its characteristics are: first, due to the diversity of goals and standards, the work of comparing the advantages and disadvantages of the plan is more complicated, and it is difficult to find the best plan for all goals; second, the decision-making process starts from eliminating the poorer plan. Among the remaining plans, select the satisfactory plan and replace the optimal standard with the satisfactory standard. The basic principle of multi-objective decision-making method: from the process and mechanism of people making decisions rationally under multi-objective conditions, the theory of multi-objective decision-making mainly includes: analysis and description of multi-objective decision-making process; the theory of conflicting decomposition and ideal point transfer ; Multi-attribute utility theory; multiplicity and hierarchical theory of demand, etc., which constitute the theoretical basis of the multi-objective decision analysis method. In multi-objective decision-making, a part of the schemes can be eliminated after comparison, which is called inferior solution; but there are a batch of schemes that can neither be eliminated or compared with each other, nor considered optimal in terms of multi-objectives, called "non- Inferior solution" (or "effective solution", "Pareto solution"). Decision analysis is an analysis process that selects and decides the best one among several alternatives in order to solve the current or future problems in the planning, construction, management and operation of the transportation system. The transportation system decision-making problems we face in the research management and control process of the transportation economic system are often multi-objective. For example, when we study the organization and decision-making of the transportation organization production process, we must consider the maximum transportation capacity of the transportation system, and It is necessary to make transportation services of high quality and low transportation costs. The interaction and contradiction between these goals make the decision-making process quite complicated and make it difficult for decision-makers to make decisions easily. This type of decision-making with multiple objectives is generally called multi-objective decision-making. Multi-objective decision-making methods are now widely used in transportation engineering, intelligent transportation engineering and other fields.

多目标决策的原则：交通管理与控制服务指数评价的多目标决策原则是在多目标决策实践中应遵循的行为准则。主要包括：The principle of multi-objective decision-making: The multi-objective decision-making principle of traffic management and control service index evaluation is the code of conduct that should be followed in the practice of multi-objective decision-making. mainly includes:

在满足决策需要的前提下，尽量减少交通管理与控制服务指数评价目标个数；可采用剔除从属性目标，并通过交通大数据关联性匹配把类似的目标合并为一个目标，或者把那些只要求达到起码标准而不要求达到最优的次要目标降为约束条件；以及通过同度量求和、求平均值或构成综合函数的方法，用综合评价指标来代替单项评价指标的办法达到目的。Under the premise of meeting the needs of decision-making, try to reduce the number of evaluation targets of traffic management and control service index; you can use the elimination of dependent targets, and merge similar targets into one through traffic big data correlation matching, or combine those that only require Reaching the minimum standard without requiring the achievement of the optimal secondary goal is reduced to constraints; and the method of summing, averaging or composing a comprehensive function with the same measure, using a comprehensive evaluation index instead of a single evaluation index to achieve the goal.

按照交通管理与控制服务指数评价目标的轻重缓急，决定目标的取舍。为此，就要将目标按重要程度排列出一个顺序，并规定出重要性系数，以便在选优决策时有所遵循。According to the priorities of the traffic management and control service index evaluation goals, the choice of goals is determined. To this end, it is necessary to arrange the goals in order of importance and specify the importance coefficients so that they can be followed in the selection of optimal decisions.

对交通管理与控制服务指数评价相互矛盾的目标，应以总目标为基准进行协调，力求对各目标全面考虑，统筹兼顾。For the conflicting goals of the traffic management and control service index evaluation, the overall goal should be used as the basis for coordination, and all goals should be considered in a comprehensive manner, taking into account the overall consideration.

交通管理与控制服务指数评价模型：当交通管理与控制服务指数评价决策对象具有多个评价目标时，从若干可行方案(也称解)中，选择一个满意方案(解)的决策方法。进行多目标决策时，根据服务指数评价事前确定的评价标准，从一组非劣解中，通过“辨优”和“权衡”找出一个令人满意的解。Traffic management and control service index evaluation model: When the traffic management and control service index evaluation decision-making object has multiple evaluation objectives, from a number of feasible solutions (also called solutions), choose a satisfactory solution (solution) decision method. When making multi-objective decision-making, according to the evaluation criteria determined in advance by the service index evaluation, from a set of non-inferior solutions, find a satisfactory solution through "distinguishing" and "trade-off".

多目标决策问题的某一可行方案与其他可行方案两两比较时，其结果有三种可能：第一，所有目标都是最优的方案，称为完全最优解，这种情况极少出现；第二，所有目标都是最劣的方案，称为劣解，立即可以淘汰；第三，目标有优有劣，既不能肯定方案为最优，也不能立即予以淘汰，这种方案称为非劣解，又称有效解或帕雷托最优解。多目标最优问题的数学模型为：设交通管理与控制服务指数评价***有m个目标f1(x)，f2(x)，...，fm(x)，要求评价由n个变量组成的方案x＝(x1，x2，...，xn)T，如果这些目标都要求最大(或最小)，并要求解满足约束条件集合R，则数学模型可表达成如下形式：When a feasible solution of a multi-objective decision-making problem is compared with other feasible solutions in pairs, the result has three possibilities: First, all goals are the optimal solution, called the complete optimal solution, which rarely occurs; Second, all goals are the worst solutions, called inferior solutions, and can be eliminated immediately; third, the goals have advantages and disadvantages, and neither can be sure that the solution is optimal, nor can it be eliminated immediately. Inferior solutions, also known as effective solutions or Pareto optimal solutions. The mathematical model of the multi-objective optimal problem is: suppose that the traffic management and control service index evaluation system has m objectives f1 (x), f2 (x), ..., fm (x), and requires evaluation of n variables Scheme x = (x1, x2, ..., xn) T, if these goals require maximum (or minimum), and the solution is required to satisfy the set of constraints R, then the mathematical model can be expressed as follows:

或

or

式(1)中F(x)＝(f1(x)，f2(x)，...，fm(x))为目标向量。In formula (1), F(x)=(f1(x), f2(x), ..., fm(x)) is the target vector.

多目标决策方法应用模式分析：在大数据环境交通管理与控制服务指数方法及***发明中，用于多目标交通管理与控制服务指数决策的综合评价方法很多，如层次分析法、单纯矩阵评价法、模糊分析法、广义函数法、加权相对偏差距离最小法、集合分析法、模糊综合评判发、主成分分析法、因子分析法等，各种方法所需要的前提条件不同，各自的用途也不同。本发明中只是介绍相关理论方法的应用模式，具体应用时可以结合不同城市交通***的特点以及同一城市交通***不同时期的管理与控制服务指数的不同评价模式进行选择。Multi-objective decision-making method application mode analysis: In the invention of the big data environment traffic management and control service index method and system, there are many comprehensive evaluation methods for multi-objective traffic management and control service index decision-making, such as AHP and simple matrix evaluation method , Fuzzy analysis method, generalized function method, weighted relative deviation distance minimum method, set analysis method, fuzzy comprehensive evaluation, principal component analysis method, factor analysis method, etc., various methods require different prerequisites, and their respective uses are also different . The present invention only introduces the application mode of related theoretical methods. In specific application, it can be selected by combining the characteristics of different urban transportation systems and the different evaluation modes of the management and control service index of the same urban transportation system at different periods.

层次分析法用于建立交通管理与控制服务指数评价决策体系的分层评价结构，并利用服务指数评价指标与交通大数据关联性匹配所得到的判断矩阵求出各项评价指标的权重。The analytic hierarchy process is used to establish the hierarchical evaluation structure of the traffic management and control service index evaluation decision system, and the weight of each evaluation index is obtained by using the judgment matrix obtained by matching the correlation between the service index evaluation index and the traffic big data.

单纯矩阵评价法是利用服务指数评价指标与交通大数据关联性匹配所得到的判断矩阵确定各个城市交通***服务指数评价指标得分，用于可量化的定性指标确定。The simple matrix evaluation method is to use the judgment matrix obtained by matching the correlation between the service index evaluation index and the traffic big data to determine the score of each urban transportation system service index evaluation index, which is used to determine the quantifiable qualitative index.

模糊分析法是利用判断矩阵对各个城市交通管理与控制服务指数评价指标排序，实际上是前两种方法的简化处理。The fuzzy analysis method is to use the judgment matrix to rank the evaluation indicators of each urban traffic management and control service index, which is actually a simplified treatment of the first two methods.

广义函数法是在已知权重和所有城市交通管理与控制服务指数的各项指标值后，再经过分级标定，把指标值转化为得分，然后采用加权求和的方法得到总分。The generalized function method is to know the weights and all the index values of all urban traffic management and control service indexes, and then pass the grading calibration to convert the index values into scores, and then use the weighted sum method to get the total score.

加权相对偏差距离最小法是在已知权重和所有城市交通管理与控制服务指数评价的各项指标值后，构造“虚拟最佳城市交通***”，以各个实际城市与“虚拟最佳城市交通***”的加权相对偏差距离大小来判断各个城市交通管理与控制服务指数的优劣。The weighted relative deviation distance minimum method is to construct a "virtual optimal urban transportation system" after knowing the weights and all index values of all urban traffic management and control service index evaluations. The weighted relative deviation distance is used to judge the pros and cons of each urban traffic management and control service index.

集合分析法也是在已知交通管理与控制服务指数评价指标值矩阵和权重后，由排序矩阵、指数矩阵得到城市交通管理与控制服务指数的排序。The ensemble analysis method also obtains the ranking of the urban traffic management and control service index from the ranking matrix and the index matrix after the evaluation index value matrix and weights of the traffic management and control service index are known.

模糊综合评判法是依次确定因素(评价指标)集、判断集，并通过单因素评判得到模糊矩阵，用模糊矩阵与权重向量共同得到交通管理与控制服务指数综合评判结果。The fuzzy comprehensive evaluation method is to determine the factor (evaluation index) set and judgment set in turn, and obtain the fuzzy matrix through single factor evaluation, and use the fuzzy matrix and the weight vector to obtain the comprehensive evaluation result of the traffic management and control service index.

主成分分析法和因子分析法都是在已知多个样本数据条件下，计算各个指标的相关矩阵，得到主成分或主因子，从而确定交通管理与控制服务指数综合评价指标的计算，因子分析法是主成分分析法的推广。Principal component analysis method and factor analysis method both calculate the correlation matrix of each indicator under the condition of known multiple sample data to obtain the principal component or principal factor, so as to determine the calculation of the comprehensive evaluation index of traffic management and control service index, factor analysis method It is the promotion of principal component analysis.

本申请实施例的交通管理与控制服务指数的评价方法，在深圳市城市交通与区域交通***的规划、建设、管理、运行一体化应用中得到了实验验证。基于深圳市综合交通运行指挥中心的交通大数据信息源池，深圳市建设了城市交通大数据云计算平台体系环境，在深圳市城市综合交通公共信息平台中，开展数据分析、数据挖掘、数据交换、数据存储、数据共享等研究实践，实现了“一个网络、四个平台”的***体系结构，即交通信息通信与传输网络，交通信息采集子平台、城市综合交通公共信息子平台、交通仿真平台、交通信息服务平台。本申请实施例的交通管理与控制服务指数的评价体系结构详见图2所示。交通管理与控制服务指数的评价体系通过深圳市综合交通运行指挥中心的城市综合交通公共信息平台，汇聚接入城市交通大数据，进行交通管理与控制服务指数特征提取、聚类分析处理，实现城市交通的运行监测、模型体系优化建设、交通管理与控制决策支持智能仿真、交通运行管控评价，有效地加速促进城市交通与社会经济发展、优化提升城市交通能力与居民生活水平、科学化决策城市交通***的建设发展目标、促进城市交通发展与对策更加精准有效，实现了通过大数据环境交通管理与控制服务指数方法量化、可视化分析评价交通***的管理水平和控制能力，取得了很好的应用效果，再一次高水平地验证了本发明的方法与***的可行性与有效性。本申请实施例的交通管理与控制服务指数的评价体系首页界面模式图详见图3所示；以城市道路交通运行服务指数为例，深圳市城市道路交通网络与城市道路交通拥堵区域运行指数发布图详见图4、图5所示。The evaluation method of the traffic management and control service index according to the embodiment of the present application has been experimentally verified in the integrated application of planning, construction, management, and operation of the Shenzhen urban transportation and regional transportation system. Based on the traffic big data information source pool of the Shenzhen Comprehensive Traffic Operation Command Center, Shenzhen has built an urban traffic big data cloud computing platform system environment. In the Shenzhen City Comprehensive Transportation Public Information Platform, it conducts data analysis, data mining, and data exchange , Data storage, data sharing and other research practices have realized the "one network, four platforms" system architecture, that is, traffic information communication and transmission network, traffic information collection sub-platform, urban comprehensive traffic public information sub-platform, traffic simulation platform 3. Transportation information service platform. The evaluation system structure of the traffic management and control service index according to the embodiment of the present application is shown in FIG. 2 in detail. The evaluation system of the traffic management and control service index integrates and connects the urban traffic big data through the urban comprehensive traffic public information platform of the Shenzhen Comprehensive Traffic Operation Command Center, and carries out the traffic management and control service index feature extraction and cluster analysis processing to realize the city. Traffic operation monitoring, model system optimization construction, traffic management and control decision support intelligent simulation, traffic operation management and control evaluation, effectively accelerate the promotion of urban transportation and socio-economic development, optimize and improve urban transportation capabilities and residents' living standards, and make scientific decisions on urban transportation The construction and development goals of the system, the promotion of urban transportation development and countermeasures are more accurate and effective, and the quantification, visual analysis and evaluation of the management level and control ability of the transportation system through the big data environment transportation management and control service index method have been achieved, and good application results have been achieved Once again, the feasibility and effectiveness of the method and system of the present invention are verified at a high level. The homepage interface mode diagram of the evaluation system of the traffic management and control service index according to the embodiment of the present application is shown in Figure 3; taking the urban road traffic operation service index as an example, the Shenzhen city road traffic network and urban road traffic congestion area operation index are released The details are shown in Figure 4 and Figure 5.

构成城市交通实时动态信息发布***的“四个平台”分类组织，是以用例模型阐述这“四个平台”的功能性需求。其中，交通公用信息平台是整个***的核心，面向交通信息采集平台、交通信息服务平台和交通仿真平台提供运行支撑和信息服务；交通信息采集平台为交通公用信息平台提供原始数据；交通仿真平台为交通公用信息平台提供仿真结果数据；交通信息服务平台依托交通公用信息平台提供的数据服务。将交通信息采集平台的功能需求组织在信息采集用例包，交通公用信息平台的功能需求组织在公用信息用例包，交通仿真平台的功能需求组织在仿真用例包，交通信息服务的功能需求组织在信息服务用例包。The classification organization of the "four platforms" that constitutes the real-time dynamic information release system of urban transportation is to illustrate the functional requirements of these "four platforms" with a use case model. Among them, the traffic public information platform is the core of the entire system, providing operation support and information services for the traffic information collection platform, traffic information service platform and traffic simulation platform; the traffic information collection platform provides the original data for the traffic public information platform; the traffic simulation platform is The transportation public information platform provides simulation result data; the transportation information service platform relies on the data service provided by the transportation public information platform. The functional requirements of the traffic information collection platform are organized in the information collection use case package, the functional requirements of the traffic public information platform are organized in the public information use case package, the functional requirements of the traffic simulation platform are organized in the simulation use case package, and the functional requirements of the traffic information service are organized in the information Service use case package.

交通信息采集平台通过固定点和浮动检测设备(FCD)对路网中的点和线交通状态进行采集，融合后作为整个***的基础数据。它负责采集实时交通运行状态数据并进行处理，将结果存储到交通公用信息平台，因此功能分成交通信息采集与筛选处理两部分。另外，交通信息采集平台还要对外场设备和数据采集状态进行监控。基于上述分析，将交通信息采集功能组织在交通信息采集服务用例包与处理服务用例包、信息管理服务用例包中。The traffic information collection platform collects the traffic status of points and lines in the road network through fixed points and floating detection equipment (FCD), which is used as the basic data of the entire system after fusion. It is responsible for collecting and processing real-time traffic operation status data and storing the results to the traffic public information platform, so the function is divided into two parts: traffic information collection and screening processing. In addition, the traffic information collection platform also monitors the status of the external field equipment and data collection. Based on the above analysis, the traffic information collection function is organized in the traffic information collection service use case package, processing service use case package, and information management service use case package.

交通公用信息平台负责数据融合、数据字典、基于数据挖掘的决策支持、数据服务和数据维护，交通数据统计查询是数据服务的一个子功能。基于上述分析，将交通公用信息平台的功能组织在数据融合用例包、基于数据挖掘的决策支持用例包、交通数据统计查询用例包和数据维护用例包中。交通仿真平台通过智能仿真组件进行战略级仿真分析和项目级仿真分析。由于智能仿真组件有其环境配置数据，所以需要标定相关参数。另外，对于一个软件集成产品来说，维护功能必不可少，还需要增加平台的维护功能。因此，功能可以分成战略级仿真分析、项目级仿真分析、智能仿真组件维护和仿真平台维护四块。基于上述分析，将交通仿真功能对应于交通仿真平台的需要，将其组织为战略级仿真分析用例包、项目级仿真分析用例包、智能仿真组件维护用例包和仿真平台维护用例包。交通信息服务平台将实时检测、处理后的交通运行状态数据以及仿真计算结果，以适当的形式准确、及时地传达至用户，实现全天候、多方式、多层面的动态、静态交通信息发布。另外，对于一个软件集成产品来说，维护功能必不可少，还需要增加平台的维护功能。因此，功能可以分成信息发布服务、信息管理服务两块。基于上述分析，将信息服务功能组织在信息发布服务用例包和信息管理服务用例包中。The transportation public information platform is responsible for data fusion, data dictionary, decision support based on data mining, data services and data maintenance. Traffic data statistical query is a sub-function of data services. Based on the above analysis, the functions of the transportation public information platform are organized into data fusion use case packages, decision support use case packages based on data mining, traffic data statistical query use case packages, and data maintenance use case packages. The traffic simulation platform performs strategic-level simulation analysis and project-level simulation analysis through intelligent simulation components. Since the intelligent simulation component has its environment configuration data, it is necessary to calibrate the relevant parameters. In addition, for a software integrated product, the maintenance function is essential, and the maintenance function of the platform needs to be added. Therefore, functions can be divided into strategic simulation analysis, project-level simulation analysis, intelligent simulation component maintenance, and simulation platform maintenance. Based on the above analysis, the traffic simulation function is corresponding to the needs of the traffic simulation platform, and it is organized into a strategic-level simulation analysis use case package, a project-level simulation analysis use case package, an intelligent simulation component maintenance use case package, and a simulation platform maintenance use case package. The traffic information service platform will communicate real-time detected and processed traffic operation status data and simulation calculation results to users in an appropriate form accurately and in a timely manner, so as to achieve all-weather, multi-mode, multi-level dynamic and static traffic information release. In addition, for a software integrated product, the maintenance function is essential, and the maintenance function of the platform needs to be added. Therefore, the function can be divided into two parts: information publishing service and information management service. Based on the above analysis, the information service functions are organized in the information publishing service use case package and the information management service use case package.

城市交通实时动态信息发布的顺序图和协作图统称交互图，它们用于分析刻画***用例实现中对象间的动态交互和消息传递，帮助识别类、职责，并在协作者之间分配职责，还用于识别接口和抽象类。The sequence diagrams and collaboration diagrams for the release of real-time dynamic information of urban transportation are collectively referred to as interaction diagrams. They are used to analyze the dynamic interaction and message passing between objects in the realization of the use cases of the portrayal system, help to identify classes and responsibilities, and distribute responsibilities among collaborators. Used to identify interfaces and abstract classes.

顺序图显示对象如何通过交互来执行部分或全部用例的行为，一个或多个顺序图可以阐述用例的对象交互，顺序图典型的组织方式是：一个顺序图用于主要的事件流，一个顺序图用于用例的每个独立子流程或备选流。顺序图对于设计人员而言尤其重要，因为顺序图阐明了对象在流程中的角色，为确定类职责和接口提供了基础输入信息。与协作图不同，顺序图包括了按时间排定的序列，而不包括对象关系。顺序图和协作图表达相似的信息，但显示方式不同。顺序图显示了消息的明确序列，需要对消息的时间排序进行可视化建模时，顺序图尤其适用。如果需要分析交互中的实例之间的结构关系，则使用协作图。使用顺序图设计用例，主要识别平台相关的设计类、属性和方法。Sequence diagrams show how objects perform some or all of the use cases through interaction. One or more sequence diagrams can illustrate the object interactions of use cases. The typical organization of sequence diagrams is: a sequence diagram for the main event flow, a sequence diagram Each independent sub-process or alternative flow for use cases. Sequence diagrams are especially important for designers because sequence diagrams clarify the role of objects in the process and provide basic input information for determining class responsibilities and interfaces. Unlike collaboration diagrams, sequence diagrams include chronological sequences, but not object relationships. Sequence diagrams and collaboration diagrams express similar information, but they are displayed differently. The sequence diagram shows a clear sequence of messages. The sequence diagram is especially suitable when you need to visually model the chronological order of messages. If you need to analyze the structural relationship between the instances in the interaction, use a collaboration diagram. Use sequence diagrams to design use cases that primarily identify platform-related design classes, attributes, and methods.

当查看交通拥挤地图用例时，用户通过页面请求查看交通拥挤地图。QueryTrafficMapAction向MapProcessor发出地图绘制请求信息，MapProcessor首先用SEConnection连接GEODatabase获取地图绘制基本信息，然后调用ArcIms的一些API将地图绘制出来并显示在display_map.jsp页面上。用户可以通过放大缩小来查看某一路段的详细信息，也可以通过选定某一路段查看详细信息。如果通过选定某一路段来查看，则MapProcess根据所选位置的X、Y坐标通过用SEConnection连接GEODatabase来进行LinkID的匹配，然后QueryTrafficMapAction通过ServiceLocator获取对应的Home接口，由该Home接口产生Remote实例，调用该实例的某一方法即：根据该LinkID得到和所选路段所有相关的Link，通过某算法计算该路段的当前平均车速、标准车速和预测车速。MapProcessor通过ArcIMS将所选路段详细信息在display_road_detailed_into.jsp上发布出来。将查看交通拥挤地图的基本流分为两部分：生成交通拥挤地图和查看某路段动态交通信息。When viewing the traffic congestion map use case, the user requests to view the traffic congestion map through the page. QueryTrafficMapAction sends a map drawing request message to MapProcessor. MapProcessor first uses SEConnection to connect to the GEODatabase to obtain basic map drawing information, and then calls some ArcIms APIs to draw the map and display it on the display_map.jsp page. The user can view detailed information of a certain road segment by zooming in or out, or view detailed information by selecting a certain road segment. If you check by selecting a certain road segment, MapProcess matches the LinkID by using SEConnection to connect to the GEODatabase according to the X and Y coordinates of the selected location, and then QueryTrafficMapAction obtains the corresponding Home interface through ServiceLocator, and the Remote instance is generated by the Home interface. Calling a method of this instance is to obtain all related links with the selected road segment according to the LinkID, and calculate the current average speed, standard speed and predicted speed of the road segment through an algorithm. MapProcessor publishes the detailed information of the selected road segment on display_road_detailed_into.jsp through ArcIMS. The basic flow of viewing traffic congestion maps is divided into two parts: generating traffic congestion maps and viewing dynamic traffic information of a road segment.

城市交通实时动态信息发布的协作图有对象和参与者实例，以及链接和消息(描述对象是如何相关和交互的)，***协作图描述对象如何通过互相发送消息进行通信，描述参与的各对象的行为，在用例实现中通常为用例事件流的每个变体设计一个协作图。协作图用于显示对象如何交互以执行特定用例或一部分用例的行为，使用协作图和序列图来定义和阐明对象角色，这些对象执行特定的用例事件流，它们是用于确定类职责和接口的主要信息源。与序列图不同，协作图显示了对象之间的关系，序列图和协作图表达了类似的信息，但以不同方式显示这些信息。协作图显示了对象之间的关系，更适用于理解给定对象上的所有效果，更适用于过程设计。由于协作图的形式，它更适用于分析活动，适用于描述较少量对象的较简单交互。Collaboration diagrams published by the real-time dynamic information of urban transportation include objects and participant instances, as well as links and messages (to describe how the objects are related and interacted with). System collaboration diagrams describe how objects communicate by sending messages to each other, and describe the various objects involved. Behavior, in the use-case realization usually design a collaboration diagram for each variant of the use-case event flow. Collaboration diagrams are used to show how objects interact to perform a specific use case or part of the use case behavior. Collaboration diagrams and sequence diagrams are used to define and clarify object roles. These objects perform specific use case event flows. They are used to determine class responsibilities and interfaces. The main source of information. Unlike sequence diagrams, collaboration diagrams show the relationship between objects. Sequence diagrams and collaboration diagrams express similar information, but display the information in different ways. Collaboration diagrams show the relationship between objects, and are more suitable for understanding all the effects on a given object, and more suitable for process design. Due to the form of the collaboration diagram, it is more suitable for analysis activities and for describing simpler interactions with a smaller number of objects.

***设计主要采用协作图识别类、属性、方法和关系，在协作者之间分配职责，具体设计职责的实现方式，识别关键接口并进一步设计出对应业务组件。当查看交通拥挤地图用例实现时，用户直接访问交通拥挤地图页面，通过 ActionServlet访问MapProcessor接口，发布拥挤地图，需要查询动态交通信息时，通过ServiceLocator对象，查找到交通拥挤地图业务组件的Home接口，进行初始化，然后通过获取交通拥挤地图组件的Remote接口获得相关服务。System design mainly uses collaboration diagrams to identify classes, attributes, methods, and relationships, distribute responsibilities among collaborators, implement specific design responsibilities, identify key interfaces, and further design corresponding business components. When viewing the traffic congestion map use case implementation, the user directly accesses the traffic congestion map page, accesses the MapProcessor interface through the ActionServlet, and publishes the congestion map. When querying dynamic traffic information, the ServiceLocator object is used to find the home interface of the traffic congestion map business component. Initialize, and then obtain related services by obtaining the Remote interface of the traffic congestion map component.

对于每个用例实现，可能有描绘其参与类的一个或多个类图，***设计对每个用例实现识别出了具体的类和接口，并按照MVC设计模式，对各个参与类定义属性和方法，结合具体实现技术对类的属性和操作进行了定义。类图显示为一组(静态的)声明的模型元素(例如类、包以及它们的关系)，以图的方式互相连接。可以将类图组织成包(并由包所拥有)，显示特定包中的相关内容。除了表示类、属性和职责，类图中还必须对类之间的关系加以描述。For each use case implementation, there may be one or more class diagrams depicting its participating classes. The system design identifies specific classes and interfaces for each use case implementation, and defines attributes and methods for each participating class according to the MVC design pattern , Combined with the specific implementation technology to define the attributes and operations of the class. Class diagrams are displayed as a set of (static) declared model elements (such as classes, packages, and their relationships), connected to each other in a graphical manner. Class diagrams can be organized into packages (and owned by packages), showing related content in a specific package. In addition to representing classes, attributes, and responsibilities, class diagrams must also describe the relationships between classes.

***软件需要部署在相应硬件上，而且还必须提供相应的运行环境才能正常运行，***所涉及的软硬件环境比较多，可以划分成五个部署区域：数据采集区，外部用户区，DMZ隔离区，内部服务区，内部用户区。各个区域之间通过无线网络、互联网和局域网实现连接；互联网和局域网之间的网际互连使用路由器实现；为保障整个***网络安全和高效，使用防火墙隔离互联网和局域网，防火墙和局域网之间使用交换机连接，使用网闸实现内部用户区和内部服务区之间物理隔离，使用网管负责整个***网络设备的管理。通过***“一个网络，四个平台”的建设，在深圳市交通运输委的门户网站上，构建了面向深圳市政府部门、交通运输行业、交通运输企业、公众市民出行的交通管理与控制服务指数模式，实现了实时动态的发布可量化的、可视化的交通***运行态势环境。The system software needs to be deployed on the corresponding hardware, and the corresponding operating environment must also be provided for normal operation. The system involves more software and hardware environments and can be divided into five deployment areas: data collection area, external user area, and DMZ isolation area , Internal service area, internal user area. Each area is connected by wireless network, Internet and LAN; the Internet and LAN are interconnected using routers; to ensure the safety and efficiency of the entire system network, a firewall is used to isolate the Internet from the LAN, and a switch is used between the firewall and LAN Connect, use gatekeeper to achieve physical isolation between internal user area and internal service area, and use network management to manage network equipment of the entire system. Through the construction of the system "one network, four platforms", a traffic management and control service index for Shenzhen government departments, transportation industry, transportation enterprises, and public citizens was constructed on the portal website of Shenzhen Municipal Transportation Commission Mode, real-time and dynamic release of quantifiable and visualized traffic system operation situation environment.

本申请实施例的交通管理与控制服务指数的评价方法与当前国内外相关的最好的现有技术相比，特别是在城市交通与经济发展、城市交通与居民生活、城市交通***的建设与发展战略、城市交通管理体制与政策、城市交通评价体系的功能与构成、城市交通管理与控制***建设、城市交通管理措施与队伍建设、城市交通管理与控制现代化服务等方面，都具有突出优点，具有重要的商业价值与社会价值，包括以下优点：加速促进城市交通与社会经济快速发展：党的十九大提出交通强国建设与交通引领支撑社会经济发展战略，实施从供给侧结构性改革、需求侧精细化管理措施，交通***如何落到实处，体现在城市交通与区域交通领域，就是采用交通大数据云计算新一代信息技术，从交通***的核心领域交通管理与控制内容入手，进行可量化、可视化地分析评价交通运行态势并找出问题，反馈到城市交通与区域交通规划设计中来，形成闭环提升优化交通***规划、建设、管理、运行一体化服务水平和能力；而这一服务水平和能力的评价指标体系，依托于交通管理与控制服务指数方法的发明。社会经济发展离不开交通的引领与支撑，城市是经济发展的中心，是各种交通运输方式的集中地和总枢纽，城市交通***具有特别重要的地位。在社会经济发展中产生了越来越大的交通需求，给城市交通***提出了更高的要求；社会经济发展对城市交通***的通畅性和高效性提出了更高的要求；城市经济发展中产业结构的变化影响着交通需求产生的内在机制；城市经济发展中产业结构布局与城市人口就业布局紧密关联，并调整影响和改变交通需求的时空分布特性。优化提升城市交通能力与居民生活水平：在城市交通中交通管理与控制服务直接与城市居民生活息息相关，表现出的优点在于通过交通大数据云计算平台引擎的支撑，可以直接量化、可视化影响城市居民生活质量水平指标；衡量城市交通运行状对物资丰富程度的影响比例；对城市居民居住地形成的出行方式与出行工具布局的生活方式影响状态细分；评价城市交通运行环境，判断交通拥堵、交通安全、交通污染等量化技术指标的共享与发布；科学决策城市交通***建设发展目标：由于城市交通与经济发展、居民生活之间的密切关系，城市交通的建设不仅要尽量满足经济发展和生活质量提高的需求，还要充分发挥交通对经济发展、城市化和居民生活方式的引导作用，变追随性发展为引导性发展。交通***的建设目标主要包括交通功能目标、资源利用目标、环境保护目标三个方面。交通功能目标是城市交通***的基本目标，主要涵盖舒适性、安全性、高效性、可达性等；交通环境保护目标要求交通行为应尽可能减小对空气、声环境、生态及其他人类生活环境要素的负面影响；交通资源利用目标要求城市交通***能够有效地利用土地、能源、人力等资源。大数据环境交通管理与控制服务指数方法可以量化、可视化递精准掌控与把握评价指标体系，使其决策支持更加科学化；使城市交通发展与对策更加精准有效：解决城市交通问题的关键主要包括关注供求两个方面的关系、采取综合措施两个内容。大数据环境交通管理与控制服务指数方法是综合解决城市交通问题的关键分析研判的工具及手段。它可以精准有效地建立保证科学决策、规划实施、具有综合协调能力的组织管理体制的评价；做好交通与土地利用的协调规划分析；指定城市交通发展战略计划技术指标量化；进行城市开发时倒入交通影响分析研判；落实优先发展公共交通的政策与措施考核；整合交通规划提高交通整体效率的可视化手段；监测具有合理性层次秩序的城市道路交通网络；加速推进道路交通管理的科学化和现代化进程；实施交通需求管理模式建立；有针对性地开展智能交通***的研究与应用；加强城市停车***规划与管理；完善城市道路交通设施监管等优点。The evaluation method of the traffic management and control service index according to the embodiment of the present application is compared with the best existing technologies related at home and abroad, especially in urban transportation and economic development, urban transportation and resident life, urban transportation system construction and Development strategies, urban transportation management systems and policies, functions and components of urban transportation evaluation systems, construction of urban transportation management and control systems, urban transportation management measures and team building, urban transportation management and control modernization services all have outstanding advantages. It has important commercial and social values, including the following advantages: accelerating the rapid development of urban transportation and social and economic development: the 19th National Congress of the Communist Party proposed the strategy of building a powerful transportation country and leading the transportation to support social and economic development, and implemented structural reforms and demand from the supply side Refined management measures, how the transportation system is implemented, is reflected in the field of urban transportation and regional transportation, that is, the use of transportation big data cloud computing new generation of information technology, starting from the core field of transportation system traffic management and control content, quantifiable , Visually analyze and evaluate the traffic operation situation and find out the problems, and feed back to the urban transportation and regional transportation planning and design to form a closed loop to improve the integrated service level and capacity of the transportation system planning, construction, management, and operation; and this service level And ability evaluation index system, relying on the invention of traffic management and control service index method. Socio-economic development is inseparable from the guidance and support of transportation. The city is the center of economic development, the concentration and general hub of various transportation modes, and the urban transportation system has a particularly important position. In the socio-economic development, there is an increasing demand for transportation, which puts forward higher requirements for the urban transportation system; socio-economic development imposes higher requirements on the smoothness and efficiency of the urban transportation system; in the urban economic development The change of industrial structure affects the internal mechanism of traffic demand; the layout of industrial structure in urban economic development is closely related to the layout of urban population employment, and adjusts to affect and change the spatial and temporal distribution characteristics of traffic demand. Optimize and improve urban transportation capacity and residents' living standards: In urban transportation, traffic management and control services are directly related to the lives of urban residents, and the advantage is that through the support of the cloud computing platform engine of transportation big data, the impact on urban residents can be directly quantified and visualized. Quality of life indicators; measure the proportion of the impact of urban traffic operation on material abundance; subdivide the lifestyle impact status of travel modes and travel tool layouts formed by urban residents' residences; evaluate urban traffic operating environment, determine traffic congestion, traffic Sharing and release of quantitative technical indicators such as safety and traffic pollution; scientific decision-making and development goals of urban transportation system construction: due to the close relationship between urban transportation and economic development and residents' life, the construction of urban transportation must not only meet economic development and quality of life To increase demand, we must also give full play to the guiding role of transportation in economic development, urbanization and residents' lifestyles, and change the follow-up development into a guide development. The construction goals of the transportation system mainly include three aspects: transportation function goals, resource utilization goals, and environmental protection goals. The traffic function goal is the basic goal of the urban transportation system, mainly covering comfort, safety, efficiency, accessibility, etc.; the traffic environmental protection goal requires that the traffic behavior should be as small as possible to the air, acoustic environment, ecology and other human life Negative impact of environmental factors; the goal of transportation resource utilization requires that the urban transportation system can effectively use land, energy, human resources and other resources. The big data environment traffic management and control service index method can quantify, visualize and accurately control and grasp the evaluation index system, making its decision support more scientific; making urban transportation development and countermeasures more accurate and effective: the key to solving urban transportation problems mainly includes attention The relationship between supply and demand and comprehensive measures are taken. The big data environment traffic management and control service index method is a key analysis tool for comprehensively solving urban traffic problems. It can accurately and effectively establish the evaluation of an organization management system that guarantees scientific decision-making, planning and implementation, and has comprehensive coordination capabilities; do a good job in the analysis of coordinated planning of transportation and land use; quantify the technical indicators of designated urban transportation development strategic plans; Incorporate traffic impact analysis and judgment; implement policies and measures for prioritizing public transportation; integrate visual means for improving transportation efficiency by integrating transportation planning; monitor urban road transportation networks with reasonable levels of order; accelerate the scientific and modernization of road traffic management Process; implement the establishment of traffic demand management model; carry out targeted research and application of intelligent transportation system; strengthen the planning and management of urban parking system; improve the supervision of urban road traffic facilities and other advantages.

虽然本发明参照当前的较佳实施方式进行了描述，但本领域的技术人员应能理解，上述较佳实施方式仅用来说明本发明，并非用来限定本发明的保护范围，任何在本发明的精神和原则范围之内，所做的任何修饰、等效替换、改进等，均应包含在本发明的权利保护范围之内。Although the present invention has been described with reference to current preferred embodiments, those skilled in the art should understand that the above preferred embodiments are only used to illustrate the present invention and are not intended to limit the scope of protection of the present invention. Within the scope of the spirit and principle, any modifications, equivalent replacements, improvements, etc., should be included in the scope of protection of the present invention.

Claims

一种交通管理与控制服务指数的评价方法，包括：An evaluation method of traffic management and control service index, including:

步骤a：根据选取的交通管理服务指数及交通控制服务指数构建城市交通***的交通管理与控制服务指数指标体系；Step a: According to the selected traffic management service index and traffic control service index, construct the traffic management and control service index index system of the urban transportation system;

步骤b：设计区域交通与城市交通大数据云计算平台；Step b: Design big data cloud computing platform for regional transportation and urban transportation;

步骤c：基于区域交通与城市交通大数据云计算平台，根据交通管理与控制服务指数指标关联与评价进行建模，形成对交通***服务水平和服务能力的评价。Step c: Based on the regional transportation and urban transportation big data cloud computing platform, modeling is carried out according to the correlation and evaluation of the traffic management and control service index indicators to form an evaluation of the service level and service capacity of the transportation system.
根据权利要求1所述的交通管理与控制服务指数的评价方法，其特征在于，在所述步骤a中，选取的交通管理服务指数包括：交通行政管理服务指数、交通秩序管理服务指数、交通运行管理服务指数、交通优先管理服务指数、交通***管理服务指数、交通需求管理服务指数、交通事件管理服务指数、交通拥挤管理服务指数、道路交通***运行指数、轨道交通***服务指数、常规公交***服务指数、出租车公交服务指数、自行车公交服务指数、快速公交BRT服务指数、公交专用道服务指数、交通信息发布服务指数、交通设施管养服务指数、停车管理***服务指数。The method for evaluating a traffic management and control service index according to claim 1, wherein in step a, the selected traffic management service index includes: traffic administrative management service index, traffic order management service index, traffic operation Management Service Index, Transportation Priority Management Service Index, Transportation System Management Service Index, Transportation Demand Management Service Index, Traffic Incident Management Service Index, Traffic Congestion Management Service Index, Road Transportation System Operation Index, Rail Transportation System Service Index, Conventional Bus System Services Index, taxi bus service index, bicycle bus service index, BRT BRT service index, bus lane service index, traffic information release service index, transportation facility maintenance service index, parking management system service index.
根据权利要求1或2所述的交通管理与控制服务指数的评价方法，其特征在于，在所述步骤a中，选取的交通控制服务指数包括：交叉口信号控制运行指数、交叉口通行能力服务指数、交叉口延误控制服务指数、交叉口排队长度监控服务指数、交叉口潮汐车道诱导服务指数、交叉口渠化设计服务指数、交叉口相位设计服务指数、交叉***通流控制服务指数、关键路段协调控制服务指数、公交优先信号控制服务指数、城市快速路控制服务指数、交叉口智能控制指挥机器人、智能车路协同管控云机器人、区域交通信号控制服务指数、城市交通事件控制服务指数、高速公路交通控制服务指数、交通行为管理控制服务指数、城市安全交通控制服务指数。The traffic management and control service index evaluation method according to claim 1 or 2, characterized in that in step a, the selected traffic control service index includes: intersection signal control operation index, intersection capacity service Index, Intersection Delay Control Service Index, Intersection Queue Length Monitoring Service Index, Intersection Tide Lane Guidance Service Index, Intersection Channelization Design Service Index, Intersection Phase Design Service Index, Intersection Traffic Flow Control Service Index, Key Road Section Coordinated control service index, bus priority signal control service index, urban expressway control service index, intersection intelligent control command robot, intelligent vehicle road collaborative management and control cloud robot, regional traffic signal control service index, urban traffic incident control service index, highway Traffic control service index, traffic behavior management control service index, urban safety traffic control service index.
根据权利要求1或2所述的交通管理与控制服务指数的评价方法，其特征在于，所述步骤b具体包括：根据交通大数据云计算引擎，构建分布式计算结构、交通管理与控制服务指数关联的NOSQL数据库；采用人工智能的深度学***台即服务PaaS、软件即服务SaaS、容器即服务CaaS的交通大数据云计算平台。The method for evaluating a traffic management and control service index according to claim 1 or 2, characterized in that the step b specifically comprises: building a distributed computing structure and a traffic management and control service index according to a traffic big data cloud computing engine Associated NOSQL database; deep learning technology using artificial intelligence, under the virtualization and Docker container model, build traffic management and control service index information release environment; architecture design infrastructure as a service IaaS, platform as a service PaaS, software as a service SaaS , Container as a service CaaS transportation big data cloud computing platform.
根据权利要求4所述的交通管理与控制服务指数的评价方法，其特征在于，在所述步骤c中，所述根据交通管理与控制服务指数指标关联与评价进行建模采用：多目标决策方法、层次分析法、单纯矩阵评价法、模糊分析法、广义函数法、加权相对偏差距离最小法、集合分析法、模糊综合评判法、主成分分析法和/或因子分析法。The method for evaluating a traffic management and control service index according to claim 4, wherein in the step c, the modeling based on the association and evaluation of the traffic management and control service index index adopts: a multi-objective decision method , AHP, simple matrix evaluation method, fuzzy analysis method, generalized function method, weighted relative deviation distance minimum method, set analysis method, fuzzy comprehensive evaluation method, principal component analysis method and/or factor analysis method.
根据权利要求5所述的交通管理与控制服务指数的评价方法，其特征在于，所述层次分析法用于建立交通管理与控制服务指数评价决策体系的分层评价结构，并利用服务指数评价指标与交通大数据关联性匹配所得到的判断矩阵求出各项评价指标的权重。The traffic management and control service index evaluation method according to claim 5, wherein the analytic hierarchy process is used to establish a hierarchical evaluation structure of the traffic management and control service index evaluation and decision system, and uses the service index evaluation index The judgment matrix obtained by matching with the traffic big data is used to obtain the weight of each evaluation index.
根据权利要求5所述的交通管理与控制服务指数的评价方法，其特征在于，所述单纯矩阵评价法是利用服务指数评价指标与交通大数据关联性匹配所得到的判断矩阵确定各个城市交通***服务指数评价指标得分，用于可量化的定性指标确定；所述模糊分析法是利用判断矩阵对各个城市交通管理与控制服务指数评价指标排序。The traffic management and control service index evaluation method according to claim 5, wherein the simple matrix evaluation method is to determine each urban transportation system by using a judgment matrix obtained by matching the service index evaluation index with the traffic big data The service index evaluation index score is used to determine the quantifiable qualitative index; the fuzzy analysis method is to use the judgment matrix to rank the evaluation indexes of each urban traffic management and control service index.
根据权利要求5所述的交通管理与控制服务指数的评价方法，其特征在于，所述广义函数法是在已知权重和所有城市交通管理与控制服务指数的各项指标值后，经过分级标定，把指标值转化为得分，然后采用加权求和的方法得到总分；所述加权相对偏差距离最小法是在已知权重和所有城市交通管理与控制服务指数评价的各项指标值后，构造“虚拟最佳城市交通***”，以各个实际城市与“虚拟最佳城市交通***”的加权相对偏差距离大小来判断各个城市交通管理与控制服务指数的优劣。The evaluation method of the traffic management and control service index according to claim 5, characterized in that the generalized function method is calibrated in stages after the weights and all index values of all urban traffic management and control service indexes are known , The index value is converted into a score, and then the weighted sum method is used to obtain the total score; the weighted relative deviation distance minimum method is based on the weights and all index values evaluated by all urban traffic management and control service indexes. The "virtual optimal urban transportation system" uses the weighted relative deviation distance between each actual city and the "virtual optimal urban transportation system" to determine the pros and cons of each urban traffic management and control service index.
根据权利要求5所述的交通管理与控制服务指数的评价方法，其特征在于，所述集合分析法是在已知交通管理与控制服务指数评价指标值矩阵和权重后，由排序矩阵、指数矩阵得到城市交通管理与控制服务指数的排序；所述模糊综合评判法是依次确定因素集、判断集，并通过单因素评判得到模糊矩阵，用模糊矩阵与权重向量共同得到交通管理与控制服务指数综合评判结果。The method for evaluating a traffic management and control service index according to claim 5, wherein the set analysis method is based on the ranking matrix and the index matrix after the evaluation index value matrix and weights of the traffic management and control service index are known Obtain the ranking of the urban traffic management and control service index; the fuzzy comprehensive evaluation method is to determine the factor set and the judgment set in turn, and obtain the fuzzy matrix through single factor evaluation, and use the fuzzy matrix and the weight vector to obtain the traffic management and control service index synthesis Judging the results.
根据权利要求5所述的交通管理与控制服务指数的评价方法，其特征在于，所述主成分分析法和因子分析法是在已知多个样本数据条件下，计算各个指标的相关矩阵，得到主成分或主因子，确定交通管理与控制服务指数综合评价指标的计算。The method for evaluating a traffic management and control service index according to claim 5, wherein the principal component analysis method and the factor analysis method calculate the correlation matrix of each index under the condition that a plurality of sample data is known to obtain the principal The component or main factor determines the calculation of the comprehensive evaluation index of the traffic management and control service index.