WO2022027763A1 - 一种基于广域雷达的路面诱导***及方法 - Google Patents

一种基于广域雷达的路面诱导***及方法 Download PDF

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Publication number
WO2022027763A1
WO2022027763A1 PCT/CN2020/113521 CN2020113521W WO2022027763A1 WO 2022027763 A1 WO2022027763 A1 WO 2022027763A1 CN 2020113521 W CN2020113521 W CN 2020113521W WO 2022027763 A1 WO2022027763 A1 WO 2022027763A1
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information
data
traffic
wide
radar
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PCT/CN2020/113521
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English (en)
French (fr)
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许古午
章庆
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南京慧尔视智能科技有限公司
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Publication of WO2022027763A1 publication Critical patent/WO2022027763A1/zh

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    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/02—Systems using reflection of radio waves, e.g. primary radar systems; Analogous systems
    • G01S13/06—Systems determining position data of a target
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/88—Radar or analogous systems specially adapted for specific applications
    • G01S13/91—Radar or analogous systems specially adapted for specific applications for traffic control
    • G01S13/92—Radar or analogous systems specially adapted for specific applications for traffic control for velocity measurement
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S7/00—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00
    • G01S7/02—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00
    • G01S7/41—Details of systems according to groups G01S13/00, G01S15/00, G01S17/00 of systems according to group G01S13/00 using analysis of echo signal for target characterisation; Target signature; Target cross-section
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
    • G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast

Definitions

  • the invention belongs to the field of intelligent traffic technology improvement, and in particular relates to a road guidance system based on wide area radar.
  • the traffic guidance screen can display real-time road condition information, warning notices, safety tips, etc. to the driver in the most direct way, bringing convenience to people and maintaining traffic order effectively.
  • Guidance screens on expressways have the function of guiding traffic, however, the current traffic incidents identified by monitoring are not accurate and are easily affected by environmental factors. For example, during peak hours, it is easy to cause congestion at the off-ramp on the expressway because the induction is not timely.
  • the three-level induction system based on millimeter-wave radar can solve this problem very well. Radar works around the clock and is not affected by rain, snow, fog and darkness, but cannot collect video and picture information.
  • the system combines the advantages of radar and video, and can monitor the traffic incidents monitored by multiple radars in real time. Take snapshots, generate text and picture alarm information, and publish them on the pre-set guidance screen to divert traffic in time to reduce congestion and traffic accidents.
  • Traffic guidance system is a system that uses electronic information technology to obtain real-time road traffic information and publish it to road users. It improves the road traffic system by inducing the behavior of travelers, preventing the occurrence of traffic jams, reducing the stay time of vehicles on the road, and finally achieving the purpose of rational distribution of traffic flow in the road network.
  • the role of the traffic guidance system is mainly reflected in three aspects:
  • the collected traffic situation information enables traffic organizers to grasp the real-time traffic situation in a timely and comprehensive manner, and take relevant measures in advance to ensure maximum smoothness;
  • traffic guidance information is provided to traffic participants, so as to reduce the pressure on the road network caused by blind traffic. load balancing across the entire road network.
  • the traffic guidance system is a good solution to deal with local traffic congestion caused by a large number of traffic participants, but because of the randomness and irregularity of traffic participation, traffic managers cannot plan in advance, and thus aggravate the pressure of urban traffic management. Therefore, the investment in the traffic guidance system has always been controversial. It is understood that the current traffic guidance system generally has the following problems:
  • the traffic operation status cannot be predicted in advance, and traffic guidance information reminders can only be issued before and after the congestion occurs. There is uncertainty in time, and the trust of traffic participants cannot be obtained;
  • the information displayed on the guidance screen in most areas is slogan, road network status, etc., and a small number of places will have a prompt on the estimated travel time. More and more traffic participants are more willing to use mobile phone navigation APP as the basis for travel judgment.
  • the purpose of the present invention is to provide a road guidance system based on wide area radar, which aims to solve the above-mentioned technical problems.
  • a road guidance system based on wide area radar includes an information acquisition unit, a data processing unit and a guidance release unit, and the output end of the information acquisition unit is connected to The input end of the data processing unit, the output end of the data processing unit is connected to the input end of the guidance issuing unit, and the information collection unit is used for real-time collection of traffic operation parameters and snapshots of the operation state;
  • the data The processing unit is used for processing the front-end collected data through the database and the radar data platform, analyzing and evaluating the content to be released;
  • the inducing release unit is used for releasing the real-time information released by the data processing unit.
  • the information collection unit includes a wide area radar microwave detector and a monitoring camera
  • the output end of the monitoring camera is connected to the input end of the data processing unit
  • the wide area radar microwave detector has an output end connected to the input end of the data processing unit.
  • the output terminal is connected to the input terminal of the data processing unit.
  • the data processing unit includes an application server and a storage server
  • the application server is communicatively connected to the storage server
  • a database is installed on the storage server
  • a data radar platform is installed on the application server or the storage server.
  • the application server is installed with inducing system software.
  • a further technical solution of the present invention is that: the database stores the corresponding relationship between the serial number, IP address, latitude and longitude, installation site name, user name and password information of the front-end acquisition equipment, and the corresponding information relationship between the configuration information of the front-end equipment by the user is carried out. Storage; send the front-end collection device back to the processed result data for storage; store the data information of the user according to the priority relationship.
  • the radar data platform is a front-end wide-area radar detector that collects, stores and analyzes equipment data, converts the analyzed radar data into event information and provides it to the guidance system software for use, and generates traffic Quantitative and event data query interface.
  • the inducing system software includes an information distribution research and judgment module, an information decision control module, a data storage management module and a data fusion analysis module, and the output end of the data fusion distribution module is connected to the information distribution research and judgment module
  • the input end of the information distribution and judgment module is respectively connected to the input end of the information decision control module and the input end of the data storage management module, and the output end of the information decision control module is connected to the data storage management module. input.
  • a further technical solution of the present invention is that: the inducing system software is provided with an external communication interface, and the communication interface adopts an HTTP interface; the user configures the inducing system through a web page.
  • Another object of the present invention is to provide a wide-area radar-based road surface induction method, which includes the following steps:
  • step S1 also includes the following steps:
  • step S3 further includes the following steps:
  • the triggering condition is speeding or reverse driving or illegal lane change or queuing overrun or overflow or congestion;
  • the collection equipment includes a wide-area radar microwave detector and a monitoring camera.
  • the beneficial effects of the invention are: after the radar detects the traffic incident, the system can analyze and capture the traffic incident image in time, and publish the incident information (text information, image information) on the corresponding guidance screen, so that the driving can be reminded in time People avoid in time, less traffic jams and accidents.
  • the system can directly display real-time traffic conditions in the background, greatly reducing labor consumption and property losses.
  • FIG. 1 is a structural block diagram of a wide-area radar-based road surface guidance system provided by an embodiment of the present invention.
  • FIG. 2 is a flowchart of a road surface induction method based on a wide area radar provided by an embodiment of the present invention.
  • FIG. 3 is a schematic diagram of an intersection in a clear state according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of an intersection sign in a clear state provided by an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of an intersection in a congestion state provided by an embodiment of the present invention.
  • FIG. 6 is a schematic diagram of an intersection sign in a congestion state provided by an embodiment of the present invention.
  • FIG. 7 is a schematic diagram of an intersection in a severely congested state provided by an embodiment of the present invention.
  • FIG. 8 is a schematic diagram of an intersection sign in a severely congested state provided by an embodiment of the present invention.
  • the wide-area radar-based road guidance system includes an information acquisition unit, a data processing unit and a guidance release unit.
  • the output end of the information acquisition unit The input end of the data processing unit is connected, the output end of the data processing unit is connected to the input end of the inducement issuing unit, and the information collection unit is used for real-time collection of traffic operation parameters and snapshots of the operation state;
  • the The data processing unit is used to process the front-end collected data through the database and the radar data platform, and analyze and evaluate the release content;
  • the inducing release unit is used to release the real-time information released by the data processing unit.
  • the information collection unit includes a wide area radar microwave detector and a monitoring camera, the output end of the monitoring camera is connected to the input end of the data processing unit, and the output end of the wide area radar microwave detector is connected to the data processing unit the input terminal.
  • the data processing unit includes an application server and a storage server, the application server is communicatively connected to the storage server, a database is installed on the storage server, the data radar platform is installed on the application server or the storage server, and the application server is installed on the storage server. Induction system software is installed on it.
  • the database stores the correspondence between the serial number, IP address, latitude and longitude, installation site name, user name and password information of the front-end acquisition equipment, and stores the corresponding information relationship of the configuration information of the front-end equipment by the user; the front-end acquisition equipment is sent back.
  • the processed result data is stored; the data information of the user according to the priority relationship is stored.
  • the radar data platform is a front-end wide-area radar detector that collects, stores, and analyzes device data, converts the analyzed radar data into event information, and provides the guidance system software for use, and generates traffic volume and event data query interfaces.
  • the guidance system software includes an information distribution research and judgment module, an information decision control module, a data storage management module and a data fusion analysis module.
  • the output end of the data fusion distribution module is connected to the input end of the information distribution research and judgment module.
  • the output end of the research and judgment module is respectively connected to the input end of the information decision control module and the input end of the data storage management module, and the output end of the information decision control module is connected to the input end of the data storage management module.
  • the traffic information collected by the front end of the system is the original traffic data, which cannot be directly used to generate guidance information, and needs to be processed appropriately.
  • the system uses the real-time dynamic traffic allocation model and the corresponding software to carry out real-time traffic allocation, which can form the basic target data supporting the three-level guidance algorithm.
  • Data fusion analysis is used for the system to analyze the traffic flow, queue length, traffic speed and other information detected by the wide-area radar microwave detector, and combined with the visual operation status of video surveillance, based on the judgment logic of the three-level induction algorithm, the above real-time traffic information. Data fusion calculation can form the current state of road operation.
  • Data storage management is used to establish a historical database of traffic indicators, a historical database of travel time, and a database of basic information on regional road networks. Among them, the historical data of traffic indicators and the data of travel time are based on the basic information database of road network. These three databases are interconnected and form the basis of the traffic guidance system.
  • Information decision control based on the real-time unified traffic guidance information database, according to the preset automatic guidance model, the software automatically processes, calculates and predicts according to the collected real-time traffic data, and automatically generates travel time, congestion status and other information . Rolling prediction of traffic flow of each road section and intersection provides a basis for guidance.
  • the guidance system software is provided with an external communication interface, and the communication interface adopts an HTTP interface; the user configures the guidance system through a web page.
  • the expressway three-level guidance system based on wide-area radar aims to establish a real-time, linkage, and intelligent intelligent traffic guidance system that can be trusted by traffic participants.
  • the traffic information released by the system is based on the traffic state data monitored in real time by the wide-area radar microwave detector, and provides real-time scientific traffic guidance information through a comprehensive algorithm.
  • the system can be linked with video surveillance, traffic information collection, and event monitoring systems, and can coordinate video picture resources, traffic operation data resources, etc. to provide more comprehensive traffic guidance information.
  • the system can realize the linkage between the guidance screens of different numbers, distances and positions, and provide different traffic guidance information.
  • the three-level guidance system of expressway based on wide-area radar is mainly aimed at alleviating the traffic congestion state of on and off ramps. Taking into account the characteristics of expressways, current traffic conditions and future traffic pressure, the system adopts the mode of "second-level detection + third-level induction".
  • the second-level detection is to detect the queuing of vehicles on the ramp and the traffic status of the main line in real time.
  • the background system analyzes the congestion status and level, and calculates the passing time. After the congestion threshold is reached, the linked camera takes pictures. Ramp congestion status, estimated travel time, and screenshots of the congestion scene are released in real time.
  • the third-level induction means that the induction screens at different distances from the ramp are displayed in stages.
  • the nearest induction screen upstream of the target point is the third-level induction, which guides the main line traffic to detour.
  • the guidance screen a little farther upstream from the target point is the second-level guidance screen, which guides the vehicle to get off the elevated in advance when there is congestion to avoid the congestion of the elevated off-ramp.
  • the induction screen farthest upstream from the target point is the first-level induction, which guides the driver to re-plan the route when there is severe congestion, so as to avoid excessive traffic demand and aggravate the congestion.
  • the system is mainly composed of front-end information acquisition unit, data processing unit and inducement release unit.
  • the information collection unit mainly includes a wide-area radar microwave detector and a snapshot camera, which realizes the collection of traffic operation parameters and the picture snapshot of the operation state;
  • the data processing unit mainly includes application server, storage server, etc., through the database and radar data platform, it processes, analyzes and evaluates the content of the front-end collected data;
  • the guidance release unit mainly includes the guidance screen to realize the release of information.
  • the system is classified into three levels: smooth, congested, and severely congested, based on dynamic queuing data detected by wide-area radar.
  • the wide-area radar detects vehicles running on the ramp, once a queue is detected, it is judged as congestion, and the system can predict the congestion dissipation time according to the queue length value.
  • the congested queue will spread to the main road of the expressway, causing the main road to slow down or be congested.
  • the main line wide-area radar detects that the main road is congested and queued, it will be judged as severe congestion, and the dissipation time will be predicted according to the queue length analysis.
  • the guide screen will display unblocked information, and the system will display the release information on the third-level guide screen, adopting the scrolling screen mode, as shown in Figure 3, displaying "unblocked” and the schematic diagram of the road network; as shown in Figure 4, Display a promotional slogan.
  • the guidance screen will display the congestion, and the system will display and release information on the second and third level guidance screens, adopting a scrolling screen mode, as shown in Figure 5, displaying "congestion", which is determined according to the actual traffic state.
  • the induction screen will display serious congestion, and the system will display and release information on the first, second, and third induction screens, adopting a scrolling screen mode, as shown in Figure 7, displaying "severe congestion", according to The estimated travel time and road network schematic diagram of the actual traffic state determination; as shown in Figure 8, the snapshot picture of the camera is displayed.
  • the system is not affected by severe weather, and can perceive road network traffic flow data in real time, stably and with high accuracy.
  • High-precision and quantitative reflection of road network operation ability grasp the actual operation of the road network, and analyze the operation status of the road network.
  • the real-time traffic state through mature detection models and guidance algorithms, it can realize traffic data research and judgment and traffic image capture, accurately determine the congestion state and estimated travel time, and can reflect the real traffic state and provide accurate and credible guidance information.
  • It can determine the guidance strategy according to the traffic congestion status, and link the guidance screens at different positions to display the guidance information hierarchically, allowing traffic participants to plan routes in advance to avoid congestion in a timely manner.
  • the wide-area radar microwave detector adopts a MIMO system antenna, multiple transmitting antennas and multiple receiving antennas. on the road, so as to cover a larger detection range.
  • Multiple receiving antennas receive and analyze the continuous echo signals reflected from the encountered objects, so as to image the environment and targets in the monitoring area in real time.
  • background learning and traffic target trajectory recognition effective traffic targets are distinguished and tracked in real time to form the traffic parameter information required by each system in traffic.
  • the lane can be calibrated according to the actual road channelization information, and the vehicle queuing length, number of vehicles, and vehicle distribution information of each lane can be output. Coil's passing traffic information and traffic flow statistics.
  • the wide-area radar microwave detector can analyze the behavior of the vehicle, determine traffic events, such as abnormal parking, reverse driving, ultra-high speed, ultra-low speed, queuing exceeding the limit and other events, and output alarm signals.
  • traffic events such as abnormal parking, reverse driving, ultra-high speed, ultra-low speed, queuing exceeding the limit and other events, and output alarm signals.
  • the wide-area radar microwave detector adopts the two-dimensional active scanning array radar microwave detection technology, and the microwave signal can reliably detect the dynamic or static targets of each lane on the road along the emission direction with a scanning frequency of 20 times per second;
  • the wide-area radar microwave detector can detect a large area.
  • the normal detection area along the direction of the incoming vehicle can reach 200 meters, and it can detect up to 8 lanes at the same time;
  • the wide-area radar microwave detector tracks and detects the position coordinates (x, y), speed (Vx, Vy), and vehicle classification of each target. It has graphical operation software, and displays the tracking status of each target in the detection area and the vehicle in real time. Real-time location, speed, vehicle length and other real-time information;
  • the multi-functional data detection function can replace multiple sets of other types of detectors to detect traffic data such as traffic flow, average speed, occupancy rate, headway distance, and vehicle distance of multiple sections of each lane;
  • Sampling period 1 to 3600 seconds, which can be set by the user;
  • the wide-area radar microwave detector adopts the forward detection method, supports front-mounted and side-mounted, and can easily use existing rods, with an installation height of 6 to 10 meters;
  • Power supply 12-24VDC; Power: 9W;
  • the shell reaches the IP67 protection standard
  • Step S1 add the information of the information collection equipment to the guidance system; connect the collection equipment, the data processing unit and the guidance release unit through the communication protocol to form the guidance system, and after the hardware equipment is built into the system, add the corresponding information to the three-level guidance system.
  • the basic information of radar, surveillance camera, and guidance screen the basic information includes: 1, radar: equipment number, IP address, latitude and longitude, installation site name. 2, Monitoring: equipment number, IP address, user name, password, latitude and longitude, installation site name. 3.
  • Induction screen device number, IP address, longitude and latitude, and installation site name.
  • Step S2 setting the corresponding relationship between the trigger conditions and the execution structure in the induction system; after adding each device information, the induction system needs to set the corresponding condition and result relationship to associate the radar, the monitoring and the induction screen. In this way, through the events detected by the radar, the monitoring and snapshots can be executed according to the conditions, and finally the event information can be pushed to the designated guidance screen.
  • the data format of the trigger condition set by the induction system is:
  • n:n# radar detects xx traffic event.
  • Conditional relationship if 1 and (or) if 2 and (or)...if 6 and (or)...n.
  • Step S3 Integrate and judge the events detected by the acquisition device and generate a time processing result for publication; when the radar detects the event, it is judged in the trigger condition list to analyze whether the trigger condition is satisfied.
  • the designated monitor under the condition is instructed to take a snapshot, and the captured picture and the text information of the event analysis are released to the designated induction screen (one or more induction screens). That is, the execution steps are: condition judgment (radar event) -> intermediate execution (monitoring and capture) -> result execution (induction output).
  • the system can analyze and capture the traffic incident image in time, and publish the incident information (text information, image information) to the corresponding guidance screen, which can remind the driver to avoid in time and reduce traffic congestion and accidents.
  • incident information text information, image information

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  • Engineering & Computer Science (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Electromagnetism (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Traffic Control Systems (AREA)

Abstract

一种基于广域雷达的路面诱导***，适用于智慧交通技术改进领域，包括信息采集单元、数据处理单元及诱导发布单元，信息采集单元的输出端连接数据处理单元的输入端，数据处理单元的输出端连接诱导发布单元的输入端，信息采集单元用于实时对交通运行参数采集及运行状态进行抓拍；数据处理单元用于通过数据库、雷达数据平台对前端采集数据进行处理和分析评估发布内容；诱导发布单元用于将数据处理单元发布的实时信息进行发布。基于广域雷达的路面诱导***及时进行分析、抓拍交通事件图像，并将事件信息发布到相应的诱导屏上，及时提醒驾驶人员及时避让，较少交通拥堵和事故的发生。

Description

一种基于广域雷达的路面诱导***及方法 技术领域
本发明属于智慧交通技术改进领域，尤其涉及一种基于广域雷达的路面诱导***。
背景技术
随着近年来城市化的快速发展，城市人口越来越多，汽车保有量也呈现大幅度增长模式，从源头上导致了城市交通需求量的急剧增长，城市交通压力增大，交通拥堵的现象越来越严重。为了缓解城市拥堵状态，各地很多城市都加快了城市快速路的建设，快速路具有中央绝对分隔带、全部控制出入的特点，以保证连续交通流运行，能够承载绝大部份的交通出行，在提高城市道路网的容量、缓解交通拥堵、提供安全快捷方便的交通环境上举足轻重。
但随着需求的不断增加，快速路网的车辆也越来越多，加上设计上可能存在的问题，很多城市的快速路都存在拥堵的情况，尤其是在快速路匝道出入口处，加上与地面道路交通的交汇，极易出现拥堵现象，尽管城市交通建设和交通管理部门在交通路网建设和交通管理科技设施建设方面投入了大量的人力、财力和物力，但仍然避免不了城市交通拥堵现象、行车安全事故的发生，行车难，成为各大城市普遍存在的问题。因此，智能交通诱导***的研究对城市交通的发展建设具有重要的意义。
随着智能交通技术的推进，建立交通诱导***，为出行途中的驾驶员提供动态、实时的交通信息，帮助他们进行合理的路径选择和途中改道， 已经成为一种可行的交通控制策略。交通诱导屏作为交通诱导***的重要组成部分，可以向驾驶员以最直接的方式展示实时路况信息、警告通知、安全提示等，给人们带来方便的同时又能有效维持交通秩序。
不同地段通常会有不同的交通诱导需求，交通诱导屏上统一的显示内容可能带来冗余信息，而遗漏真正必要的信息。此外由于实际交通情况随时可能发生变化，交通诱导屏上显示的内容往往来不及更新。因此有必要提供一种可以及时更新内容并且具有合理显示方案的交通诱导屏控制***。
快速路上的诱导屏具有引导交通的作用，然而当前通过监控识别的交通事件并不准确，并且很容易受到环境因素的影响。例如在高峰时段，快速路上下匝道处很容易因为诱导不及时造成拥堵。基于毫米波雷达的三级诱导***能够很好的解决这一问题。雷达全天候工作，不受雨、雪、雾以及黑夜的影响，但是无法采集到视频、图片信息，该***结合了雷达和视频的优点，能够将连续多台雷达实时监测的交通事件联动监控球机进行抓拍，生成文字、图片报警信息，发布到预先设置好的诱导屏上，及时对交通进行疏导，达到减少拥堵、减少交通事故的效果。
交通诱导***是利用电子信息技术获得实时道路交通信息，发布给道路使用者的***。它通过诱导出行者的行为来改善路面交通***，防止交通阻塞的发生，减少车辆在道路上的逗留时间，并且最终达到交通流在路网中合理分配的目的。
交通诱导***的作用主要体现在三个方面：
(1)交通管理方面，通过信息发布***，将各类交通信息发布到交通 现场，使交通参与者得到及时的提醒，降低发生交通堵塞事件的概率；
(2)交通组织方面，采集的交通状况信息，可使交通组织者及时全面地掌握实时交通状况，提前采取有关措施，最大限度保障通畅；
(3)交通服务方面，根据掌握的交通状况信息和信息发布渠道，向交通参与者提供交通指导信息，减少盲目交通对路网造成的压力，同时为出行者提供出发时间和选择方式，促使交通量在整个路网中的负载平衡。
交通诱导***是应对大量交通参与者导致局部交通堵塞的很好的解决措施，但因为交通参与的随意性和无规律性，使交通管理者无法提前规划，也因此加剧了城市交通管理的压力，所以交通诱导***的投入一直存在争议。经了解目前交通诱导***普遍存在以下几个问题：
1、信息发布时间不及时
无法***交通运行状况，只能在拥堵发生前后发布交通诱导信息提醒，在时间上存在不确定性，不能得到交通参与者的信任；
2、发布的信息单一
目前大部分地区的诱导屏显示的信息为标语、路网状态等，少量地方会有预计通行时间上的提示，越来越多的交通参与者更愿意以手机导航APP为出行判断依据。
3、智能化程度偏低
大部分诱导屏没有与其他***联动起来，包括视频监控、事件监测、交通信息采集等***，仍采用人工发布手段来执行，缺乏有效的交通信息感知手段及联动策略。
发明内容
本发明的目的在于提供一种基于广域雷达的路面诱导***，旨在解决上述的技术问题。
本发明是这样实现的，一种基于广域雷达的路面诱导***，所述基于广域雷达的路面诱导***包括信息采集单元、数据处理单元及诱导发布单元，所述信息采集单元的输出端连接所述数据处理单元的输入端，所述数据处理单元的输出端连接所述诱导发布单元的输入端，所述信息采集单元，用于实时对交通运行参数采集及运行状态进行抓拍；所述数据处理单元，用于通过数据库、雷达数据平台对前端采集数据进行处理和分析评估发布内容；所述诱导发布单元，用于将数据处理单元发布的实时信息进行发布。
本发明的进一步技术方案是：所述信息采集单元包括广域雷达微波检测器及监控相机，所述监控相机的输出端连接所述数据处理单元的输入端，所述广域雷达微波检测器的输出端连接所述数据处理单元的输入端。
本发明的进一步技术方案是：所述数据处理单元包括应用服务器及存储服务器，所述应用服务器通信连接所述存储服务器，所述存储服务器上安装有数据库，数据雷达平台安装在所述应用服务器或存储服务器上，所述应用服务器上安装有诱导***软件。
本发明的进一步技术方案是：所述数据库中存储前端采集设备的编号、IP地址、经纬度、安装点位名称、用户名及密码信息的对应关系，将用户对前端设备的配置信息对应信息关系进行存储；将前端采集设备发送回经过处理的结果数据进行存储；对用户根据优先级关系的数据信息存储。
本发明的进一步技术方案是：所述雷达数据平台是前端广域雷达检测器对设备数据进行采集、存储、分析，将分析后的雷达数据转换成事件信息提供给诱导***软件使用，并生成交通量、事件数据查询接口。
本发明的进一步技术方案是：所述诱导***软件包括信息分配研判模块、信息决策控制模块、数据存储管理模块及数据融合分析模块，所述数据融合分配模块的输出端连接所述信息分配研判模块的输入端，所述信息分配研判模块的输出端分别连接所述信息决策控制模块的输入端及数据存储管理模块的输入端，所述信息决策控制模块的输出端连接所述数据存储管理模块的输入端。
本发明的进一步技术方案是：所述诱导***软件设置有对外通信接口，所述通信接口采用的是HTTP接口；用户通过网页方式对诱导***进行使用配置。
本发明的另一目的在于提供一种基于广域雷达的路面诱导方法，所述基于广域雷达的路面诱导方法包括以下步骤：
S1、将信息采集设备的信息添加到诱导***中；
S2、在诱导***中设置触发条件与执行结构的对应关系；
S3、将采集设备检测到的事件融合判断并生成时间处理结果发布。
本发明的进一步技术方案是：所述步骤S1中还包括以下步骤：
S11、将信息采集设备、服务器及诱导屏通过通讯协议连接组成诱导***。
本发明的进一步技术方案是：所述步骤S3还包括以下步骤：
S31、将采集设备检测到事件在触发条件列表里进行分析判断是否满足触发条件，如满足条件，则指令对应的抓拍设备进行抓拍，并将抓拍图片与事件分析的文字信息发布到指定的诱导屏上，如不满足条件，则放弃该条事件；
所述触发条件为超速或逆行或违法变道或排队超限或溢出或拥堵；
所述采集设备包括广域雷达微波检测器及监控相机。
本发明的有益效果是：雷达检测到交通事件后，该***能够及时进行分析、抓拍交通事件图像，并将事件信息(文字信息、图像信息)发布到相应的诱导屏上，这样能够及时提醒驾驶人员及时避让，较少交通拥堵和事故的发生。该***能够在后台直接展示实时交通状况，大大减少人力消耗和财产损失。
附图说明
图1是本发明实施例提供的基于广域雷达的路面诱导***的结构框图。
图2是本发明实施例提供的基于广域雷达的路面诱导方法的流程图。
图3是本发明实施例提供的畅通状态路口示意图。
图4是本发明实施例提供的畅通状态路口标识语示意图。
图5是本发明实施例提供的拥堵状态路口示意图。
图6是本发明实施例提供的拥堵状态路口标识语示意图。
图7是本发明实施例提供的严重拥堵状态路口示意图。
图8是本发明实施例提供的严重拥堵状态路口标识语示意图。
具体实施方式
如图1所示，本发明提供的基于广域雷达的路面诱导***，所述基于广域雷达的路面诱导***包括信息采集单元、数据处理单元及诱导发布单元，所述信息采集单元的输出端连接所述数据处理单元的输入端，所述数据处理单元的输出端连接所述诱导发布单元的输入端，所述信息采集单元，用于实时对交通运行参数采集及运行状态进行抓拍；所述数据处理单元，用于通过数据库、雷达数据平台对前端采集数据进行处理和分析评估发布内容；所述诱导发布单元，用于将数据处理单元发布的实时信息进行发布。
所述信息采集单元包括广域雷达微波检测器及监控相机，所述监控相机的输出端连接所述数据处理单元的输入端，所述广域雷达微波检测器的输出端连接所述数据处理单元的输入端。
所述数据处理单元包括应用服务器及存储服务器，所述应用服务器通信连接所述存储服务器，所述存储服务器上安装有数据库，数据雷达平台安装在所述应用服务器或存储服务器上，所述应用服务器上安装有诱导***软件。
所述数据库中存储前端采集设备的编号、IP地址、经纬度、安装点位名称、用户名及密码信息的对应关系，将用户对前端设备的配置信息对应信息关系进行存储；将前端采集设备发送回经过处理的结果数据进行存储；对用户根据优先级关系的数据信息存储。
所述雷达数据平台是前端广域雷达检测器对设备数据进行采集、存储、分析，将分析后的雷达数据转换成事件信息提供给诱导***软件使用，并生成交通量、事件数据查询接口。
所述诱导***软件包括信息分配研判模块、信息决策控制模块、数据存储管理模块及数据融合分析模块，所述数据融合分配模块的输出端连接所述信息分配研判模块的输入端，所述信息分配研判模块的输出端分别连接所述信息决策控制模块的输入端及数据存储管理模块的输入端，所述信息决策控制模块的输出端连接所述数据存储管理模块的输入端。
所述信息分配研制，用于***前端采集到的交通信息是原始交通数据，不能够直接用于生成诱导信息，需要经过适当的处理。***根据前端检测的交通状态信息、视频监控信息，利用实时动态交通分配模型和相应的软件进行实时交通分配，能够形成支撑三级诱导算法的基础目标数据。
数据融合分析，用于***将广域雷达微波检测器检测的交通流量、排队长度、车流速度等信息分析，并结合视频监控的可视化运行状态，基于三级诱导算法判断逻辑，对以上实时交通信息数据进行融合计算，能够形成当下道路运行的状态。
数据存储管理，用于建立交通指标历史数据库、行程时间历史数据库、区域路网基本信息数据库。其中交通指标历史数据和行程时间数据是建立在道路网基本信息数据库的基础之上。这三个数据库相互联系，构成了交通诱导***的基础。
信息决策控制，用于基于实时统一的交通诱导信息数据库，根据预先设定的自动诱导模型，由软件自动根据采集到的实时交通数据进行处理、运算及预测，自动生成旅行时间、拥堵状况等信息。滚动式预测各路段和交叉口的交通流量，为诱导提供依据。
所述诱导***软件设置有对外通信接口，所述通信接口采用的是HTTP接口；用户通过网页方式对诱导***进行使用配置。
基于广域雷达的快速路三级诱导***，旨在建立一个实时化、联动化、智能化的可被交通参与者信任的智能交通诱导***。
实时化
***发布的交通信息依据广域雷达微波检测器实时监测的交通状态数据，通过综合算法提供实时科学的交通诱导信息。
联动化
***可与视频监控、交通信息采集、事件监测***联动，能够协调视频图片资源、交通运行数据资源等提供更加全面的交通诱导信息。
智能化
***通过与其他***资源的联动协调，可实现不同数量、距离、位置的诱导屏之间的联动，提供不同的交通诱导信息。
基于广域雷达的快速路三级诱导***主要以实现缓解进出匝道交通拥堵状态为目的。综合考虑快速路特征、交通现状和未来交通压力，***采用“二级检测+三级诱导”的模式。
二级检测即分别对匝道车辆排队和主线交通状态进行实时检测，后台***分析拥堵状态和等级，进行通行时间计算，在达到拥堵阈值后，联动摄像机进行图片抓拍，后台通过与诱导***连接，将匝道拥堵状态、预计通行时间、拥堵现场截图实时进行发布。
三级诱导即在距离匝道处不同距离的诱导屏分级显示，目标点位上游 最近诱导屏为第三级诱导，引导主线车流绕行。距离目标点位上游稍远诱导屏为第二级诱导屏，在拥堵时引导车辆提前下高架，躲避高架下匝道拥堵。距离目标点位上游最远处诱导屏为第一级诱导，在严重拥堵时引导驾驶人员重新规划路线，避免过多通行需求而加剧拥堵。
***主要由前端信息采集单元、数据处理单元和诱导发布单元组成。
信息采集单元主要包括广域雷达微波检测器和抓拍相机，实现对交通运行参数的采集以及运行状态的图片抓拍；
数据处理单元主要包括应用服务器、存储服务器等，通过数据库、雷达数据平台对前端采集数据的处理和分析评估发布内容；
诱导发布单元主要包括诱导屏实现信息的发布。
拥堵判别策略
***分三级判别：畅通、拥堵、严重拥堵，采用广域雷达检测的动态排队数据作为依据。
畅通
若匝道上没有检测到排队，则为表现为畅通状态。
拥堵
若广域雷达检测匝道上运行车辆，一旦检测到有排队现象则判定为拥堵，***可根据排队长度值预测拥堵消散时间。
严重拥堵
若匝道排队过长，拥堵排队会向快速路主路蔓延，导致主路缓行或拥堵，此时若主线广域雷达检测主路拥堵排队则判断为重度拥堵，根据排队 长度分析预测消散时间。
信息发布逻辑
若检测到畅通状态，则诱导屏做畅通显示，***在第三级诱导屏显示发布信息，采取滚动屏模式，如图3所示，显示“畅通”及路网示意图；如图4所示，显示宣传标语。
若检测到拥堵状态，则诱导屏做拥堵显示，***在第二级、第三级诱导屏显示发布信息，采取滚动屏模式，如图5所示，显示“拥堵”、根据实际交通状态判定的预计通行时间及路网示意图；如图6所示，显示相机的抓拍图片。
若严重拥堵状态，则诱导屏做严重拥堵显示，***在第一级、第二级、第三级诱导屏显示发布信息，采取滚动屏模式，如图7所示，显示“严重拥堵”、根据实际交通状态判定的预计通行时间及路网示意图；如图8所示，显示相机的抓拍图片。
应用亮点
高精度、全天候的精细化感知
基于广域雷达原理，***不受恶劣天气影响，实时、稳定、高精准度的感知路网交通流数据。
真实量化的反映交通运行状态
高精准度、量化的反应路网运行能力，握路网实际运行情况，分析路网运行状态。
智能化模型算法
依据实时交通状态，通过成熟的检测模型和诱导算法，实现交通数据研判和交通图像抓拍，精准判别拥堵状态、预计通行时间，并能够反映真实交通状态，提供准确和可信的诱导信息。
三级联动诱导控制
能够依据交通拥堵状态判定诱导策略，联动不同位置诱导屏进行分级显示诱导信息，让交通参与者更适时的提前进行规划路线规避拥堵。
广域雷达微波检测器
与传统断面微波车检器不同，广域雷达微波检测器采用MIMO体制天线，多个发射天线和多个接收天线，通过多个天线发射快速电扫描信号，将雷达波以极快的周期投射在路面上，从而覆盖较大检测范围。多个接收天线接收遇到物体反射回来的连续回波信号综合分析，从而对监测区域内的环境及目标实时成像。通过背景学习和交通目标轨迹识别，区分出有效的交通目标，并实时跟踪处理，形成交通中各***需要的交通参数信息。
配合定制化软件，可按照实际路面渠化信息标定车道，输出各车道的车辆排队长度、车辆数、车辆分布信息，根据***检测的数据需求，设置多个检测线，采集检测线位置各车道虚拟线圈的过车压占信息、交通流统计信息。
结合车辆轨迹跟踪的行为特征，广域雷达微波检测器可以对车辆进行行为分析，判定交通事件，如异常停车、逆向行驶、超高速、超低速、排队超限等事件，并输出报警信号。
主要技术参数：
广域雷达微波检测器采用二维主动扫描式阵列雷达微波检测技术，微波信号沿发射方向以每秒20次的扫描频率可靠地检测路上每一车道的动态或静态目标；
广域雷达微波检测器能进行大区域检测，沿来车方向正常检测区域可达200米，能同时检测可达8个车道；
可同时跟踪检测多达128个目标；
广域雷达微波检测器跟踪检测每个目标的位置坐标(x,y)、速度(Vx,Vy)、车型分类，具有图形化操作软件，实时显示每个目标在检测区域内被跟踪情况以及车辆即时位置、速度、车辆长度等实时信息；
多功能的数据检测功能，可替代多组其他类型检测器，检测每车道多个断面的流量、平均速度、占有率、车头时距、车间距等交通数据；
车流量精度：≥95％；
速度检测准确度：≥95％；
采样周期：1～3600秒范围，可由用户自行设定；
接口：RS485或RJ45；
广域雷达微波检测器采用前向检测方式，支持正装和侧装，可方便地利用既有杆件，安装高度6～10米；
通过网络可方便的远程调试、升级；
可在全气候环境下稳定工作，包括雨、雪、雾、霾、大风、冰冻、冰雹、沙尘等恶劣天气，并具有自校准以及故障自诊断功能；
温度：－40℃～+85℃；湿度：最大100％；撞机/振动承受度： 100g/rms；14g/rms；
电源：12-24VDC；功率：9W；
过压和防雷保护；
外壳达到IP67防护标准；
MTBF≥10年，7*24连续不间断工作。
如图2所示，一种基于广域雷达的路面诱导方法，其详述如下：
步骤S1、将信息采集设备的信息添加到诱导***中；将采集设备、数据处理单元及诱导发布单元通过通讯协议连接组成诱导***，将硬件设备搭建成***后，向三级诱导***中添加相应的雷达、监控相机、诱导屏的基础信息，基础信息包括：①、雷达：设备编号、IP地址、经纬度、安装点位名称。②、监控：设备编号、IP地址、用户名、密码、经纬度、安装点位名称。③、诱导屏：设备编号、IP地址、经纬度、安装点位名称。
步骤S2、在诱导***中设置触发条件与执行结构的对应关系；在添加各设备信息后，诱导***需要设置相应的条件和结果关系，将雷达、监控和诱导屏关联起来。这样可以通过雷达所监测到的事件，根据条件判断执行监控抓拍，最终将事件信息推送到指定的诱导屏上。
诱导***设置触发条件的数据格式为：
如果1：1#雷达检测到超速的交通事件。
如果2：2#雷达检测到逆行的交通事件。
如果3：3#雷达检测到违法变道的交通事件。
如果4：4#雷达检测到排队超限的交通事件。
如果5：5#雷达检测到溢出的交通事件。
如果6：6#雷达检测到拥堵的交通事件。
......
如果n：n#雷达检测到xx的交通事件。
条件关系：如果1且(或)如果2且(或)......如果6且(或)......n。
就执行1：xx监控进行抓拍，生成结果1。
就执行2：xx监控进行抓拍，生成结果2。
就执行6：xx监控进行抓拍，生成结果3。
...
最终执行1：结果1发布到xx诱导屏上。
最终执行2：结果2发布到xx诱导屏上。
......
最终执行n：结果n发布到xx诱导屏上。
步骤S3、将采集设备检测到的事件融合判断并生成时间处理结果发布；当雷达检测到事件后，在触发条件列表里进行判断，分析是否满足触发条件。当满足某条触发条件时，命令该条件下指定的监控进行抓拍，抓拍的图片和事件分析的文字信息再发布到指定的诱导屏上(1个或多个诱导屏)。即执行步骤为：条件判断(雷达事件)->中间执行(监控抓拍)->结果执行(诱导输出)。
雷达检测到交通事件后，该***能够及时进行分析、抓拍交通事件图 像，并将事件信息(文字信息、图像信息)发布到相应的诱导屏上，这样能够及时提醒驾驶人员及时避让，较少交通拥堵和事故的发生。
以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (10)

  1. 一种基于广域雷达的路面诱导***，其特征在于，所述基于广域雷达的路面诱导***包括信息采集单元、数据处理单元及诱导发布单元，所述信息采集单元的输出端连接所述数据处理单元的输入端，所述数据处理单元的输出端连接所述诱导发布单元的输入端，所述信息采集单元，用于实时对交通运行参数采集及运行状态进行抓拍；所述数据处理单元，用于通过数据库、雷达数据平台对前端采集数据进行处理和分析评估发布内容；所述诱导发布单元，用于将数据处理单元发布的实时信息进行发布。
  2. 根据权利要求1所述的基于广域雷达的路面诱导***，其特征在于，所述信息采集单元包括广域雷达微波检测器及监控相机，所述监控相机的输出端连接所述数据处理单元的输入端，所述广域雷达微波检测器的输出端连接所述数据处理单元的输入端。
  3. 根据权利要求2所述的基于广域雷达的路面诱导***，其特征在于，所述数据处理单元包括应用服务器及存储服务器，所述应用服务器通信连接所述存储服务器，所述存储服务器上安装有数据库，数据雷达平台安装在所述应用服务器或存储服务器上，所述应用服务器上安装有诱导***软件。
  4. 根据权利要求3所述的基于广域雷达的路面诱导***，其特征在于，所述数据库中存储前端采集设备的编号、IP地址、经纬度、安装点位名称、用户名及密码信息的对应关系，将用户对前端设备的配置信息对应信息关系进行存储；将前端采集设备发送回经过处理的结果数据进行存储；对用户根据优先级关系的数据信息存储。
  5. 根据权利要求4所述的基于广域雷达的路面诱导***，其特征在于，所述雷达数据平台是前端广域雷达检测器对设备数据进行采集、存储、分析，将分析后的雷达数据转换成事件信息提供给诱导***软件使用，并生成交通量、事件数据查询接口。
  6. 根据权利要求5所述的基于广域雷达的路面诱导***，其特征在于，所述诱导***软件包括信息分配研判模块、信息决策控制模块、数据存储管理模块及数据融合分析模块，所述数据融合分配模块的输出端连接所述信息分配研判模块的输入端，所述信息分配研判模块的输出端分别连接所述信息决策控制模块的输入端及数据存储管理模块的输入端，所述信息决策控制模块的输出端连接所述数据存储管理模块的输入端。
  7. 根据权利要求6所述的基于广域雷达的路面诱导***，其特征在于，所述诱导***软件设置有对外通信接口，所述通信接口采用的是HTTP接口；用户通过网页方式对诱导***进行使用配置。
  8. 一种基于广域雷达的路面诱导方法，其特征在于，所述基于广域雷达的路面诱导方法包括以下步骤：
    S1、将信息采集设备的信息添加到诱导***中；
    S2、在诱导***中设置触发条件与执行结构的对应关系；
    S3、将采集设备检测到的事件融合判断并生成时间处理结果发布。
  9. 根据权利要求8所述的基于广域雷达的路面诱导方法，其特征在于，所述步骤S1中还包括以下步骤：
    S11、将信息采集设备、服务器及诱导屏通过通讯协议连接组成诱导***。
  10. 根据权利要求9所述的基于广域雷达的路面诱导方法，其特征在于，所述步骤S3还包括以下步骤：
    S31、将采集设备检测到事件在触发条件列表里进行分析判断是否满足触发条件，如满足条件，则指令对应的抓拍设备进行抓拍，并将抓拍图片与事件分析的文字信息发布到指定的诱导屏上，如不满足条件，则放弃该条事件；
    所述触发条件为超速或逆行或违法变道或排队超限或溢出或拥堵；
    所述采集设备包括广域雷达微波检测器及监控相机。
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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115171385A (zh) * 2022-07-06 2022-10-11 合肥雷能信息技术有限公司 一种基于毫米波雷达和视频联动交通事件检测***
CN115206086A (zh) * 2022-05-17 2022-10-18 北京交通大学 一种考虑拥堵空间排队与溢出的静态交通流分配方法
CN115938126A (zh) * 2023-01-06 2023-04-07 南京慧尔视智能科技有限公司 一种基于雷达的溢出检测方法、装置、设备及存储介质

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114822017B (zh) * 2022-03-23 2023-03-24 合肥学院 一种规避局部拥堵排队的高架快速路通行引导***
CN115641736B (zh) * 2022-10-19 2023-07-18 中交一公局第七工程有限公司 用于高速公路特殊路段智能诱导***及方法

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040222904A1 (en) * 2003-05-05 2004-11-11 Transol Pty Ltd Traffic violation detection, recording and evidence processing system
CN103700274A (zh) * 2014-01-17 2014-04-02 重庆大学 一种交通流检测诱导方法
CN109003444A (zh) * 2018-07-02 2018-12-14 北方工业大学 基于广域雷达微波检测器的城市交叉口溢流控制方法
CN109389835A (zh) * 2018-11-16 2019-02-26 北方工业大学 一种城市道路交通需求与控制的映射方法
CN109637125A (zh) * 2018-11-30 2019-04-16 创发科技有限责任公司 智能路况监测***、装置、方法和计算机可读存储介质
CN110322703A (zh) * 2019-07-31 2019-10-11 河北融柏信息技术服务有限公司 一种测速卡口式道路交叉口安全警示***
CN111366927A (zh) * 2020-02-25 2020-07-03 创捷运维智能科技有限责任公司 一种基于广域雷达的高速公路交通状态感知***

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101540103B (zh) * 2008-03-17 2013-06-19 上海宝康电子控制工程有限公司 交通信息采集及事件处理的方法与***
CN104575049B (zh) * 2015-01-14 2016-08-17 合肥革绿信息科技有限公司 一种基于阵列雷达的高架匝道智能诱导方法及装置
CN204856896U (zh) * 2015-08-31 2015-12-09 合肥合和信息科技有限公司 雷达交通事件自动检测***
CN106297291B (zh) * 2016-08-29 2020-06-26 苏州金螳螂怡和科技有限公司 城市快速路交通信息采集***
CN107256637A (zh) * 2017-08-01 2017-10-17 上海新中新猎豹交通科技股份有限公司 一种道路交通安全可变限速抓拍***
CN109671276A (zh) * 2017-10-13 2019-04-23 南京唯实科技有限公司 一种城市智能交通***
CN110264717B (zh) * 2019-06-25 2021-04-20 牡丹江师范学院 一种城市智能交通调控***
CN111462494A (zh) * 2020-04-16 2020-07-28 苏州工业园区测绘地理信息有限公司 一种接口标准化的交通诱导信息发布***

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040222904A1 (en) * 2003-05-05 2004-11-11 Transol Pty Ltd Traffic violation detection, recording and evidence processing system
CN103700274A (zh) * 2014-01-17 2014-04-02 重庆大学 一种交通流检测诱导方法
CN109003444A (zh) * 2018-07-02 2018-12-14 北方工业大学 基于广域雷达微波检测器的城市交叉口溢流控制方法
CN109389835A (zh) * 2018-11-16 2019-02-26 北方工业大学 一种城市道路交通需求与控制的映射方法
CN109637125A (zh) * 2018-11-30 2019-04-16 创发科技有限责任公司 智能路况监测***、装置、方法和计算机可读存储介质
CN110322703A (zh) * 2019-07-31 2019-10-11 河北融柏信息技术服务有限公司 一种测速卡口式道路交叉口安全警示***
CN111366927A (zh) * 2020-02-25 2020-07-03 创捷运维智能科技有限责任公司 一种基于广域雷达的高速公路交通状态感知***

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115206086A (zh) * 2022-05-17 2022-10-18 北京交通大学 一种考虑拥堵空间排队与溢出的静态交通流分配方法
CN115171385A (zh) * 2022-07-06 2022-10-11 合肥雷能信息技术有限公司 一种基于毫米波雷达和视频联动交通事件检测***
CN115171385B (zh) * 2022-07-06 2022-12-27 合肥雷能信息技术有限公司 一种基于毫米波雷达和视频联动交通事件检测***
CN115938126A (zh) * 2023-01-06 2023-04-07 南京慧尔视智能科技有限公司 一种基于雷达的溢出检测方法、装置、设备及存储介质
CN115938126B (zh) * 2023-01-06 2023-05-26 南京慧尔视智能科技有限公司 一种基于雷达的溢出检测方法、装置、设备及存储介质

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