CN110363990A - A kind of public transport is passed unimpeded index acquisition methods, system and device - Google Patents

A kind of public transport is passed unimpeded index acquisition methods, system and device Download PDF

Info

Publication number
CN110363990A
CN110363990A CN201910635852.0A CN201910635852A CN110363990A CN 110363990 A CN110363990 A CN 110363990A CN 201910635852 A CN201910635852 A CN 201910635852A CN 110363990 A CN110363990 A CN 110363990A
Authority
CN
China
Prior art keywords
public transport
public
section
travelling speed
data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910635852.0A
Other languages
Chinese (zh)
Inventor
江志斌
谢胜利
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong University of Technology
Original Assignee
Guangdong University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong University of Technology filed Critical Guangdong University of Technology
Priority to CN201910635852.0A priority Critical patent/CN110363990A/en
Publication of CN110363990A publication Critical patent/CN110363990A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/123Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams

Landscapes

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

Abstract

It passes unimpeded index acquisition methods, system and device this application discloses a kind of public transport, comprising: obtain public transport static data and public transport GPS data;It is averaged travelling speed according to the public transport that public transport GPS data obtains every a road section in public bus network;The minimum vehicle number for determining every a road section is modified each public transport travelling speed that is averaged by exponential smoothing, obtains new public transport and is averaged travelling speed;The average travelling speed of public bus network is obtained according to all new public transport travelling speed that is averaged;Public transport free flow speed is obtained, congestion route section accounting is calculated by the average travelling speed and public transport free flow speed of public bus network;Congestion route section accounting is converted to public transport to pass unimpeded index.The application can make up bus sample size in section it is less or without bus by situations such as sample size, and it improves public transport and passes unimpeded real-time, accuracy, the reliability of index, and then optimize public traffic management traffic control, more accurate public transport, which is provided, for citizen passes unimpeded index.

Description

A kind of public transport is passed unimpeded index acquisition methods, system and device
Technical field
This application involves traffic and transport field, pass unimpeded index acquisition methods, system and device more particularly to a kind of public transport.
Background technique
For urban transport problems, the research about the exponential model of reflection urban public transport operation conditions had in recent years Certain progress.In the implementation method that index is passed unimpeded in existing public transport, the location information of bus is mainly utilized, institute is obtained There is down time of the public transit vehicle between bus station, passes through formulaIt calculates between bus station Average travelling speedWherein: S is the distance of website A and website B,When for by the parking of all buses of website A Between, i=1,2 ..., N,Then to pass through positive and negative cumulative effect, weight by the down time of all buses of website B The pass unimpeded calculation formula of index of (according to the weight table of comparisons) and public transport obtains public transport and passes unimpeded index, finally by public transport pass unimpeded index with The summary data of the relationship of public transport speed to reflect corresponding public transport operation situation, and issues public transport and passes unimpeded index.
In terms of influence factor, the influence factor that this method considers is excessively single, only being averaged between consideration bus station Influence of the travelling speed to public transport operation situation does not account for congested link mileage, public transport congestion time, urban road grade Draw the influence of grading factors;In terms of the data needed for calculating, road-section average travelling speed is carried out not over mathematics method Amendment, make up bus sample size in section it is less or without bus by situations such as sample size, reduce data meter Calculate precision.Therefore, pass through the analysis in terms of the two, it can be seen that existing public transport is passed unimpeded, and there is also one for the implementation method of index Fixed defect, provided public transport pass unimpeded index real-time, accuracy, reliability it is not high, thus influence public traffic management scheduling Work and citizens' activities planning.
Therefore, how to provide a kind of scheme of solution above-mentioned technical problem is that those skilled in the art need to solve at present Problem.
Summary of the invention
The purpose of the application is to provide a kind of public transport and passes unimpeded index acquisition methods, system and device, can make up in section Bus sample size it is less or without bus by situations such as sample size, and improve public transport pass unimpeded index real-time, Accuracy, reliability, and then optimize public traffic management traffic control, more accurate public transport, which is provided, for citizen passes unimpeded index.
In order to solve the above technical problems, passing unimpeded index acquisition methods this application provides a kind of public transport, comprising:
Obtain public transport static data and public transport GPS data, wherein the public transport static data includes section data and route Data;
It is averaged travelling speed according to the public transport that the public transport GPS data obtains every a road section in public bus network;
The minimum vehicle number for determining each section is averaged travelling speed to each public transport by exponential smoothing It is modified, obtains new public transport and be averaged travelling speed;
The average travelling speed of the public bus network is obtained according to all new public transport travelling speed that is averaged;
Obtain public transport free flow speed, average travelling speed and the public transport free flow speed by the public bus network Calculate congestion route section accounting;
Congestion route section accounting is converted to public transport to pass unimpeded index.
Preferably, the process for obtaining public transport GPS data specifically:
Public transport GPS data is obtained by predetermined period.
Preferably, after the acquisition public transport static data and public transport GPS data, which passes unimpeded index acquisition methods also Include:
Whether determine in all public transport GPS datas containing abnormal GPS data;
If so, carrying out rejecting processing and/or compensation deals to the abnormal GPS data, new public transport GPS data is obtained.
Preferably, the process for determining whether to contain abnormal GPS data in the public transport GPS data specifically:
Judge the public transport GPS data for being less than preset time in all public transport GPS datas with the presence or absence of journey time, if It is that the public transport GPS data is determined as abnormal GPS data;
And/or judge the public transport GPS data that whether there is location information mistake in all public transport GPS datas, if so, The public transport GPS data is determined as the abnormal GPS data;
And/or judge with the presence or absence of interruption public transport GPS data in all public transport GPS datas, if so, by the interruption Public transport GPS data is determined as abnormal GPS data.
Preferably, speed is averagely transported in the public transport for obtaining every a road section in public bus network according to the public transport GPS data After degree, it is averaged before travelling speed obtains the average travelling speed of the public bus network according to all new public transport, the public affairs Friendship is passed unimpeded index acquisition methods further include:
Determine the grade in each section of the public bus network, the grade include through street section, trunk roads section and Secondary distributor road section;
Judge whether the public transport in any section travelling speed that is averaged is greater than the corresponding pre-set velocity of grade in the section Threshold value, if so, to the public transport be averaged travelling speed carry out mean value calculation operation or reject operate.
Preferably, it is described according to all new public transport be averaged travelling speed obtain the public bus network average transport speed The process of degree specifically:
The weight for determining each section is obtained according to all weights and all new public transport travelling speed that is averaged To the average travelling speed of the public bus network.
Preferably, the process of the weight in each section of the determination specifically:
The weight in the section is determined by the grade in any section.
Preferably, the acquisition public transport free flow speed passes through the average travelling speed and the public affairs of the public bus network Free flow speed is handed over to calculate the process of congestion route section accounting specifically:
Calculate the average travelling speed of the public bus network and the ratio of the public transport free flow speed;
Determine that public transportation road section/route operation conditions grade, the operation conditions grade include very according to the ratio Slowly, relatively slow, jogging, substantially unimpeded and unimpeded;
Determine that the operation conditions grade is the quantity in very slow and slower section;
Congestion route section accounting is calculated according to the quantity and section sum.
In order to solve the above technical problems, present invention also provides a kind of public transport pass unimpeded index obtain system, comprising:
Data acquisition module, for obtaining public transport static data and public transport GPS data, wherein the public transport static data Including section data and track data;
First computing module, the public transport for obtaining every a road section in public bus network according to the public transport GPS data are average Travelling speed;
Correction module, for determining the minimum vehicle number in each section, by exponential smoothing to each public affairs It hands over average travelling speed to be modified, obtains new public transport and be averaged travelling speed;
Second computing module, for obtaining being averaged for the public bus network according to all new public transport travelling speed that is averaged Travelling speed;
Congested link determining module passes through the average transport speed of the public bus network for obtaining public transport free flow speed Degree and the public transport free flow speed calculate congestion route section accounting;
Conversion module passes unimpeded index for congestion route section accounting to be converted to public transport.
In order to solve the above technical problems, passing unimpeded index acquisition device present invention also provides a kind of public transport, comprising:
Memory, for storing computer program;
Processor, when for executing the computer program realize the public transport as described in any one above pass unimpeded index obtain The step of method.
It passes unimpeded index acquisition methods this application provides a kind of public transport, by increasing influence factor, to the average fortune in section Send speed to be modified, make up bus sample size in section it is less or without bus by situations such as sample size, and According to based on the average travelling speed of section and public bus network, congestion route section accounting is calculated, further according to corresponding Congestion route section accounting is converted into public transport and passed unimpeded index by conversion formula, and Lai Tigao public transport is passed unimpeded the real-time, accurate of index Property, reliability, and then optimize public traffic management traffic control, mention excellent for public transport operation, more accurate public affairs are provided for citizen Friendship is passed unimpeded index.Present invention also provides a kind of public transport indexes that passes unimpeded to obtain system and device, has and above-mentioned public transport is passed unimpeded finger The identical beneficial effect of number acquisition methods.
Detailed description of the invention
It in order to more clearly explain the technical solutions in the embodiments of the present application, below will be to institute in the prior art and embodiment Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the application Example, for those of ordinary skill in the art, without creative efforts, can also obtain according to these attached drawings Obtain other attached drawings.
Fig. 1 is that a kind of public transport provided herein is passed unimpeded the step flow charts of index acquisition methods;
Fig. 2 be a kind of public transport provided herein pass unimpeded index obtain system structural schematic diagram.
Specific embodiment
The core of the application is to provide a kind of public transport and passes unimpeded index acquisition methods, system and device, can make up in section Bus sample size it is less or without bus by situations such as sample size, and improve public transport pass unimpeded index real-time, Accuracy, reliability, and then optimize public traffic management traffic control, more accurate public transport, which is provided, for citizen passes unimpeded index.
To keep the purposes, technical schemes and advantages of the embodiment of the present application clearer, below in conjunction with the embodiment of the present application In attached drawing, the technical scheme in the embodiment of the application is clearly and completely described, it is clear that described embodiment is Some embodiments of the present application, instead of all the embodiments.Based on the embodiment in the application, those of ordinary skill in the art Every other embodiment obtained without making creative work, shall fall in the protection scope of this application.
Please refer to Fig. 1, Fig. 1 is that a kind of public transport provided herein is passed unimpeded the step flow charts of index acquisition methods, should The public transport index acquisition methods that pass unimpeded include:
In order to solve the above technical problems, passing unimpeded index acquisition methods this application provides a kind of public transport, comprising:
Step 1: obtaining public transport static data and public transport GPS (Global Positioning System, global positioning system System) data, wherein public transport static data includes section data and track data;
Specifically, public transport static data includes section data, track data and station data, in which: section data include The information such as section number, road section length, section direction, affiliated area title, affiliated road name;Track data is compiled comprising route Number, the information such as line name, class of track, line length, route up-downlink direction;Station data includes site number, website The information such as title, website longitude and latitude, website up-downlink direction.Public transport GPS data includes public transit vehicle motion track, public transit vehicle Motion track should include the basic parameters such as longitude and latitude, traveling angle, speed, out of the station.
Specifically, 30s should be not less than by obtaining the period of public transport GPS data.
Step 2: being averaged travelling speed according to the public transport that public transport GPS data obtains every a road section in public bus network;
Specifically, as a result, public transport is passed unimpeded, index assessment selects speed index according to public transit system feature and data.In conjunction with public affairs The GIS data file handing over GPS data and having grasped is chosen section bus average speed and is counted as basic index It calculates.In order to improve precision, the minimum interval of calculating is chosen no more than 5 minutes, the application is with data collection interval for 5 For minute, i.e., calculate within every 5 minutes the average travelling speed of a bus j.
Specifically, the application is mainly averaged to bus j according to the operating mileage in public transport GPS data, positioning time Travelling speed is calculated.First according to GPS data and GIS (Geographic Information System, geography information System) all public transport GPS datas of bus j record in the section website AB in map data matching q-th of period of inquiry, benefit All public transport GPS datas of bus j calculate bus j in tested section k in the section website AB within q-th of period The average travelling speed of (in website AB):
Then in period q, the public transport of tested section k (in website AB) is averaged travelling speed are as follows:
Wherein,For in tested section, the average travelling speed of bus j, unit km/h, M are by being tested section Bus j speed acquisition sample number;SjiFor the distance that bus j is crossed in i-th of data collection interval, unit For km;T is data collection interval, unit h;Public transport to be tested in the k of section is averaged travelling speed, unit km/ h;N is the bus sample number by being tested section k.
Step 3: determine the minimum vehicle number of every a road section, by exponential smoothing to each public transport be averaged travelling speed into Row amendment, obtains new public transport and is averaged travelling speed;
Specifically, for given road network, needing how many public transport when establishing public transport operation status evaluation system Vehicle sample could provide accurate, comprehensive Traffic Information is the major issue for needing to solve.Bus sample size both closed It is the construction and operating cost to system, is also related to accuracy of data acquisition.Simultaneously it is worth noting that since bus has admittedly Table and departure interval at the time of determining, so certain a road section may pass through without bus in a certain period of time.
According to step 2, it is known that in certain a road section, the estimated value of the average travelling speed of n bus isObvious n is bigger, and the error between the average travelling speed estimated value and actual value in the section is smaller, but number It is higher according to quality requirement, it is desirable that sampling interval with regard to smaller.Normal state is obeyed according to the travelling speed approximation research shows that vehicle is averaged It is distributed N (v, σ2), according to the sampling theorem in mathematical statistics, average travelling speed of the n table flotation motor-car in certain a road sectionIt obeys
If n table flotation motor-car road-section average travelling speedIt is less than with the error of practical road-section average travelling speed maximum allowable The probability of error ε is not less than 1- α, it may be assumed that
As available from the above equation:
The bus sample size required for single section it can be seen from the formula be with road average-speed standard deviation sigma, Confidence level 1- α and the relevant variable of limits of error ε.
Specifically, the section of public bus network can divide in accordance with the following methods: a) using bus station as section endpoint;B) will Intersection is as section endpoint;C) it is intersection that endpoint one end in section, which is the bus station other end,.The application selects It is such as wherein by the interval division of bus station AB adjacent in public bus network using bus station as the division methods of section endpoint One section.According to GB50220-95, to city entirety road network to be evaluated or Regional Road Network be divided into through street, trunk roads, Four secondary distributor road, branch grades.Through street, which refers to, is equipped with median strip in urban road, unidirectional setting is no less than two vehicles Road is all entered and left using crossings on different level and control, realizes the road that traffic is continuously passed through;Trunk roads refer in urban road network Connect each major divisions in city, the road based on communication function;Secondary distributor road refer in urban road network in conjunction with trunk roads, Based on the function of collecting and distributing traffic, have the road of service function concurrently;Branch refer in urban road network with secondary distributor road and residential area, The internal passageways such as industrial area, means of transportation are connected, and solve the road of some areas service function.Due to secondary distributor road and branch category Property is similar, and speed of service difference is little, and the bus routes of branch are few, from the applicability of computation model entirety, Secondary distributor road and branch are classified as the same grade by the application.In this way, the application carries out in evaluation procedure to public transport operation situation, Road network is divided into three grades, i.e. through street, trunk roads and branch, different grade sections is obtained according to the rating calculation in section Corresponding minimum number of bus.
Further, according to determining minimum number of bus can to using public transport GPS data calculate velocity amplitude into Row amendment.When bus quantity is greater than the minimum number of bus needed in certain a road section, it is averaged using what GPS data calculated The error of travelling speed and actual value is smaller.Within a calculating cycle (5 minutes), the bus quantity in the section does not have Reach minimum number of bus, there may be certain errors for calculated result at this time.For this problem, the application is using adaptive The exponential smoothing method of weight is answered to calculate the new public transport in each section and be averaged travelling speed.
Exponential smoothing is a kind of common method for handling time series data.The simple full period method of average is to time series Past data one do not leak ground all utilized on an equal basis;Rolling average rule does not consider data more at a specified future date, and is weighting Give recent data bigger weight in the method for moving average;And exponential smoothing rule has been compatible with that full period is average and rolling average institute It is long, do not give up past data, but be given only the influence degree gradually weakened, i.e., separate with data, imparting is gradually received Hold back the flexible strategy for being zero.Exponential smoothing is a kind of Time Series Analysis Forecasting method to grow up on the basis of the method for moving average, It is to cooperate regular hour sequential forecasting models to predict the future of phenomenon by gauge index smooth value.Its principle It is the exponential smoothing value of any phase is all the weighted average of current period actual observation value Yu previous phase index smooth value.The application middle finger The smooth formula of number are as follows:
WhereinFor the average travelling speed of objective time interval,For the average travelling speed of a upper period, f (m) it is exponential smoothing index weight:
Wherein njFor the objective time interval, vehicle number in the section, nminIt is the parameter value of input, indicates each road On requirement minimum number of bus.
It is understood that can smoothly to make up bus sample size in section less or without bus for utilization index By situations such as sample size, improve data computational accuracy, more accurately describe bus operation conditions.
Step 4: the average travelling speed of public bus network is obtained according to all new public transport travelling speed that is averaged;
Specifically, the speed of bus has positive and negative build-up effect for the public transport index that passes unimpeded, positive and negative build-up effect refers to often A speed for public transport pass unimpeded index be all it is influential, low speed generate negative effect, this effect with low speed number increase And reinforce, weaken with the reduction of low speed number;High speed generates positive-effect, and this effect adds with the increase of high speed number By force, weaken with the reduction of high speed number.Therefore the mode that can use weighted calculation carrys out the positive and negative accumulation effect of processing speed It answers.The new public transport in each section travelling speed that is averaged is different the pass unimpeded influence of index of public transport, averagely transports according to public transport Speed and public transport are passed unimpeded the linear relationship and actual conditions of index, are averaged travelling speed addition one to the new public transport in each section A weight.
Specifically, using public transport be averaged travelling speed and in the exponential smoothing available a certain period each section new public affairs Average travelling speed is handed over, a complete public bus network can be calculated according to the new public transport in all sections travelling speed that is averaged Average travelling speed.It is average to different new public transport according to category of roads when calculating the average travelling speed of public bus network Travelling speed is weighted:
The average travelling speed of public bus network is
Wherein m is the section sum of tested public bus network,For the different sections of highway weighted value of different category of roads.
The weighted value of different category of roads can be determined according to different grades of velocity interval.Here major trunk roads are provided Weighted value, as shown in table 1:
Speed-weight of 1 major trunk roads of table corresponds to table
Step 5: obtaining public transport free flow speed, pass through the average travelling speed and public transport free flow speed meter of public bus network Calculate congestion route section accounting;
Specifically, public transport free flow speed vsAs unified reference value, it should regularly update, can be taken by following two mode Value calculates public transport free flow speed:
(1) using 1/ α of car free flow speed as public transport free flow speed, α preferably uses 1.5.
(2) public vapour electric car free stream velocity is used, unit km/h is calculated as follows:
A) 0:00 to 24:00 is pressed into given interval equal part, of length no more than 15 minutes of interval;
B) arithmetic mean of instantaneous value of the average travel speed of each time interval is calculated, sample number of days should be no less than 30 days;
C) calculated average value is sorted from large to small, takes the 90th percentile of ranking results, using its result as Public transport free stream velocity;
D) take speed limit as public transport free flow speed when the calculated result of step c is more than road speed limit.
It is flat to obtain section/route for the ratio of the average travelling speed and public transport free flow speed that are obtained according to above-mentioned steps Equal travelling speed ratio TSRi(n):;
Wherein TSRi(n) within n-th of period, section/public bus network is averaged travelling speed ratio;For at n-th Public transportation road section/route is averaged travelling speed in period;vsFor public transport free flow speed;β is averaged travelling speed than codomain adjustment system Number, generally 10 or 100.
It is averaged travelling speed ratio according to public transportation road section/route, is very by public transportation road section/route operation conditions grade classification Slowly, relatively slow, jogging, substantially unimpeded, unimpeded five grades.
Public transportation road section/route be averaged travelling speed than with public transportation road section/route operation conditions grade corresponding relationship such as table 2 It is shown:
2 public transportation road sections of table/route is averaged travelling speed than the mapping table with operation conditions grade
Specifically, being calculated according to the public transportation road section marked off/route operation conditions rating calculation congestion route section accounting It is very slow and slower section number that congestion route section accounting, which namely calculates operation conditions grade in section in test zone, Amount accounts for the ratio of section sum, if the ratio is P.
Step 6: congestion route section accounting being converted into public transport and is passed unimpeded index.
It passes unimpeded index TRI specifically, step 5 calculated congestion route section accounting is converted into public transport, it specifically can be with It is converted in the following way:
As 0≤P < 4,
As 4≤P < 8,
As 8≤P < 11,
As 11≤P < 14,
As 14≤P < 100,
It is understood that public transport is passed unimpeded, index is to reflect that bus running is unimpeded or the conceptual numerical value of congestion, this The pass unimpeded value range of index of public transport is set as 0 to 10 by application, is often separated by two numbers as a grade, is respectively corresponded operation Situation rating be heavy congestion, moderate congestion, jogging, pass unimpeded substantially, pass unimpeded five ranks, numerical value is bigger, illustrates public transport It runs faster.Congestion route section accounting, public transport pass unimpeded index and operation conditions grade transformational relation it is as shown in table 3:
3 congestion route section accounting of table, public transport pass unimpeded index and operation conditions grade transformational relation table
It passes unimpeded index acquisition methods this application provides a kind of public transport, comprising: obtain public transport static data and public transport GPS number According to, wherein public transport static data includes section data and track data;It is obtained according to public transport GPS data each in public bus network The public transport in section is averaged travelling speed;The minimum vehicle number for determining every a road section, it is average to each public transport by exponential smoothing Travelling speed is modified, and is obtained new public transport and is averaged travelling speed;Public transport line is obtained according to all new public transport travelling speed that is averaged The average travelling speed on road;Public transport free flow speed is obtained, the average travelling speed and public transport free flow vehicle of public bus network are passed through Speed calculates congestion route section accounting;Congestion route section accounting is converted to public transport to pass unimpeded index.In practical applications, it uses The scheme of the application is modified the average travelling speed in section, makes up bus sample in section by increasing influence factor This amount it is less or without bus by situations such as sample size, and according to the average travelling speed of section and public bus network make Based on, congestion route section accounting is calculated, congestion route section accounting is converted into public affairs further according to corresponding conversion formula Friendship is passed unimpeded index, and Lai Tigao public transport is passed unimpeded real-time, accuracy, the reliability of index, and then optimizes public traffic management traffic control, It is mentioned for public transport operation excellent, provides more accurate public transport for citizen and pass unimpeded index.
On the basis of the above embodiments:
Embodiment as one preferred, after obtaining public transport static data and public transport GPS data, which passes unimpeded index Acquisition methods further include:
Whether determine in all public transport GPS datas containing abnormal GPS data;
If so, carrying out rejecting processing and/or compensation deals to abnormal GPS data, new public transport GPS data is obtained.
Embodiment as one preferred determines whether the process containing abnormal GPS data is specific in public transport GPS data Are as follows:
Judge the public transport GPS data for being less than preset time in all public transport GPS datas with the presence or absence of journey time, if so, The public transport GPS data is determined as abnormal GPS data;
And/or judge the public transport GPS data that whether there is location information mistake in all public transport GPS datas, if so, should Public transport GPS data is determined as abnormal GPS data;
And/or judge with the presence or absence of interruption public transport GPS data in all public transport GPS datas, if so, public transport GPS will be interrupted Data judging is abnormal GPS data.
Specifically, handle mainly public transport GPS data comprising following steps:
1. rejecting wrong data
It is too short including certain wrong data, such as journey time in public transport GPS data, location information is incorrect etc. Abnormal GPS data needs to carry out before treatment data misarrangement work, abnormal GPS data is rejected.
2. intermittent information is handled
Since respective road segment Adjacent Buildings are excessively high and equipment reason itself, public transport GPS data have interruption, for The interruption of short time carries out data and makes up according to front and back public transport GPS data;For being interrupted for a long time, to guarantee data matter Amount must be rejected.
Embodiment as one preferred, the public transport for obtaining every a road section in public bus network according to public transport GPS data are average After travelling speed, it is averaged before travelling speed obtains the average travelling speed of public bus network according to all new public transport, the public transport Pass unimpeded index acquisition methods further include:
Determine that the grade in each section of public bus network, grade include through street section, trunk roads section and secondary distributor road road Section;
Judge whether the public transport in any section travelling speed that is averaged is greater than the corresponding pre-set velocity threshold value of grade in the section, If so, to public transport be averaged travelling speed carry out mean value calculation operation or reject operate.
Specifically, public transport travelling speed needs within a reasonable range, and public transport obtained by calculation is average Travelling speed can generate some exceptional values, and speed is very big or very small, is not inconsistent with actual operating state.This is just needed pair It is handled in some exceptional values, pre-set velocity threshold value is set to section each in public bus network, for being more than pre-set velocity The data of threshold value are handled, and the rule of judgement is as follows:
When section grade be through street when, public transport be averaged travelling speed greater than 65km/h and be less than 75km/h website between transport Send velocity amplitude, with the travelling speed data of previous website and the latter website carry out mean value calculation, using this value as this three The public transport of a website is averaged travelling speed;
When section grade be trunk roads when, public transport be averaged travelling speed greater than 55km/h and be less than 65km/h website between transport Send velocity amplitude, with the travelling speed data of previous website and the latter website carry out mean value calculation, using this value as this three The public transport of a website is averaged travelling speed;
When section grade is secondary distributor road, public transport is averaged travelling speed speed greater than 45km/h and is less than the website of 55km/h Between travelling speed value, with the travelling speed data of previous website and the latter website carry out mean value calculation, using this value as The public transport of this three websites is averaged travelling speed;
When the public transport in through street section public transport of the travelling speed greater than 75km/h, trunk roads section that is averaged is averaged travelling speed Public transport greater than 65km/h, secondary distributor road section be averaged travelling speed be greater than 55km/h data, all reject.
In conclusion the application by increase influence factor, and with mathematics method to road-section average travelling speed into Row amendment, make up bus sample size in section it is less or without bus by situations such as sample size, public transportation road section/ Based on the average travelling speed of route, congestion route section is calculated by the average travelling speed of public transportation road section/route Accounting, is converted into public transport for congestion route section accounting further according to corresponding conversion formula and passes unimpeded index TRI, and Lai Tigao public transport is smooth Real-time, accuracy, the reliability of row index.
Referring to figure 2., Fig. 2 be a kind of public transport provided herein pass unimpeded index obtain system structural schematic diagram, should Public transport pass unimpeded index obtain system include:
Data acquisition module 1, for obtaining public transport static data and public transport GPS data, wherein public transport static data includes Section data and track data;
First computing module 2, the public transport for obtaining every a road section in public bus network according to public transport GPS data are averagely transported Speed;
Correction module 3 averagely transports each public transport by exponential smoothing for determining the minimum vehicle number of every a road section It send speed to be modified, obtains new public transport and be averaged travelling speed;
Second computing module 4, for according to all new public transport be averaged travelling speed obtain public bus network average transport speed Degree;
Congested link determining module 5, for obtaining public transport free flow speed, by the average travelling speed of public bus network and Public transport free flow speed calculates congestion route section accounting;
Conversion module 6 passes unimpeded index for congestion route section accounting to be converted to public transport.
Embodiment as one preferred obtains the process of public transport GPS data specifically:
Public transport GPS data is obtained by predetermined period.
Embodiment as one preferred, the public transport pass unimpeded index obtain system further include:
First abnormal data determination module, for determining whether containing abnormal GPS data in all public transport GPS datas, if It is to trigger first processing module;
First processing module rejects processing and/or compensation deals for carrying out to abnormal GPS data, obtains new public transport GPS Data.
Embodiment as one preferred, the first abnormal data determination module include:
First judging unit is less than preset time with the presence or absence of journey time in all public transport GPS datas for judging Public transport GPS data, if so, the public transport GPS data is determined as abnormal GPS data;
Second judging unit, the public transport GPS number for judging to whether there is location information mistake in all public transport GPS datas According to if so, the public transport GPS data is determined as abnormal GPS data;
Third judging unit, for judging with the presence or absence of interruption public transport GPS data in all public transport GPS datas, if so, will Interruption public transport GPS data is determined as abnormal GPS data.
Embodiment as one preferred, the public transport pass unimpeded index obtain system further include:
Section grade classification module, the grade in each section for determining public bus network, grade include through street section, Trunk roads section and secondary distributor road section;
Second abnormal data determination module, for judging whether the public transport in any section travelling speed that is averaged is greater than the section The corresponding pre-set velocity threshold value of grade, if so, triggering Second processing module;
Second processing module, the travelling speed that is used to be averaged to public transport carry out mean value calculation operation or reject to operate.
Embodiment as one preferred, the second computing module 4 are specifically used for:
The weight for determining every a road section obtains public bus network according to all weights and all new public transport travelling speed that is averaged Average travelling speed.
Embodiment as one preferred determines the process of the weight of every a road section specifically:
The weight in the section is determined by the grade in any section.
Embodiment as one preferred, congested link determining module 5 are specifically used for:
Calculate the ratio of the average travelling speed public transport free flow speed of public bus network;
Determine public transportation road section/route operation conditions grade according to ratio, operation conditions grade include it is very slow, relatively slow, It walks or drive slowly, is substantially unimpeded and unimpeded;
Determine that operation conditions grade is the quantity in very slow and slower section;
Congestion route section accounting is calculated according to quantity and section sum.
A kind of public transport provided herein index that passes unimpeded obtains system, has and above-mentioned public transport is passed unimpeded index acquisition methods Identical beneficial effect.
For a kind of public transport provided herein pass unimpeded index obtain system introduction please refer to above-described embodiment, this Shen It please details are not described herein.
Correspondingly, passing unimpeded index acquisition device present invention also provides a kind of public transport, comprising:
Memory, for storing computer program;
Processor, when for executing the computer program realize the public transport as described in any one above pass unimpeded index obtain The step of method.
A kind of public transport provided herein is passed unimpeded index acquisition device, has and above-mentioned public transport is passed unimpeded index acquisition methods Identical beneficial effect.
Above-described embodiment is please referred to for a kind of the pass unimpeded introduction of index acquisition device of public transport provided herein, this Shen It please details are not described herein.
It should also be noted that, in the present specification, relational terms such as first and second and the like be used merely to by One entity or operation are distinguished with another entity or operation, without necessarily requiring or implying these entities or operation Between there are any actual relationship or orders.Moreover, the terms "include", "comprise" or its any other variant meaning Covering non-exclusive inclusion, so that the process, method, article or equipment for including a series of elements not only includes that A little elements, but also including other elements that are not explicitly listed, or further include for this process, method, article or The intrinsic element of equipment.In the absence of more restrictions, the element limited by sentence "including a ...", is not arranged Except there is also other identical elements in the process, method, article or apparatus that includes the element.
The foregoing description of the disclosed embodiments makes professional and technical personnel in the field can be realized or use the application. Various modifications to these embodiments will be readily apparent to those skilled in the art, as defined herein General Principle can be realized in other embodiments without departing from the spirit or scope of the application.Therefore, the application It is not intended to be limited to the embodiments shown herein, and is to fit to and the principles and novel features disclosed herein phase one The widest scope of cause.

Claims (10)

  1. The index acquisition methods 1. a kind of public transport is passed unimpeded characterized by comprising
    Obtain public transport static data and public transport GPS data, wherein the public transport static data includes section data and route number According to;
    It is averaged travelling speed according to the public transport that the public transport GPS data obtains every a road section in public bus network;
    The minimum vehicle number for determining each section, by exponential smoothing to each public transport be averaged travelling speed carry out Amendment obtains new public transport and is averaged travelling speed;
    The average travelling speed of the public bus network is obtained according to all new public transport travelling speed that is averaged;
    Public transport free flow speed is obtained, is calculated by the average travelling speed of the public bus network and the public transport free flow speed Congestion route section accounting;
    Congestion route section accounting is converted to public transport to pass unimpeded index.
  2. The index acquisition methods 2. public transport according to claim 1 is passed unimpeded, which is characterized in that the acquisition public transport GPS data Process specifically:
    Public transport GPS data is obtained by predetermined period.
  3. The index acquisition methods 3. public transport according to claim 2 is passed unimpeded, which is characterized in that the acquisition public transport static data After public transport GPS data, which passes unimpeded index acquisition methods further include:
    Whether determine in all public transport GPS datas containing abnormal GPS data;
    If so, carrying out rejecting processing and/or compensation deals to the abnormal GPS data, new public transport GPS data is obtained.
  4. The index acquisition methods 4. public transport according to claim 3 is passed unimpeded, which is characterized in that described to determine the public transport GPS Whether the process of abnormal GPS data is contained in data specifically:
    Judge the public transport GPS data for being less than preset time in all public transport GPS datas with the presence or absence of journey time, if so, The public transport GPS data is determined as abnormal GPS data;
    And/or judge the public transport GPS data that whether there is location information mistake in all public transport GPS datas, if so, should Public transport GPS data is determined as the abnormal GPS data;
    And/or judge with the presence or absence of interruption public transport GPS data in all public transport GPS datas, if so, by the interruption public transport GPS data is determined as abnormal GPS data.
  5. The index acquisition methods 5. public transport according to claim 1 is passed unimpeded, which is characterized in that described according to the public transport GPS The public transport of every a road section is averaged after travelling speed in data acquisition public bus network, averagely transports speed according to all new public transport Before degree obtains the average travelling speed of the public bus network, which passes unimpeded index acquisition methods further include:
    Determine the grade in each section of the public bus network, the grade includes through street section, trunk roads section and secondary dry Road section;
    Judge whether the public transport in any section travelling speed that is averaged is greater than the corresponding pre-set velocity threshold value of grade in the section, If so, to the public transport be averaged travelling speed carry out mean value calculation operation or reject operate.
  6. The index acquisition methods 6. public transport according to claim 5 is passed unimpeded, which is characterized in that described according to all new public affairs Average travelling speed is handed over to obtain the process of the average travelling speed of the public bus network specifically:
    The weight for determining each section obtains institute according to all weights and all new public transport travelling speed that is averaged State the average travelling speed of public bus network.
  7. The index acquisition methods 7. public transport according to claim 6 is passed unimpeded, which is characterized in that each section of determination Weight process specifically:
    The weight in the section is determined by the grade in any section.
  8. The index acquisition methods 8. public transport according to claim 1 is passed unimpeded, which is characterized in that the acquisition public transport free flow vehicle Speed calculates the mistake of congestion route section accounting by the average travelling speed of the public bus network and the public transport free flow speed Journey specifically:
    Calculate the average travelling speed of the public bus network and the ratio of the public transport free flow speed;
    Determine public transportation road section/route operation conditions grade according to the ratio, the operation conditions grade include it is very slow, compared with Slowly, walk or drive slowly, is substantially unimpeded and unimpeded;
    Determine that the operation conditions grade is the quantity in very slow and slower section;
    Congestion route section accounting is calculated according to the quantity and section sum.
  9. 9. a kind of public transport is passed unimpeded, index obtains system characterized by comprising
    Data acquisition module, for obtaining public transport static data and public transport GPS data, wherein the public transport static data includes Section data and track data;
    First computing module, the public transport for obtaining every a road section in public bus network according to the public transport GPS data are averagely transported Speed;
    Correction module, it is flat to each public transport by exponential smoothing for determining the minimum vehicle number in each section Equal travelling speed is modified, and is obtained new public transport and is averaged travelling speed;
    Second computing module, for obtaining the average transport of the public bus network according to all new public transport travelling speed that is averaged Speed;
    Congested link determining module, for obtaining public transport free flow speed, by the average travelling speed of the public bus network and The public transport free flow speed calculates congestion route section accounting;
    Conversion module passes unimpeded index for congestion route section accounting to be converted to public transport.
  10. The index acquisition device 10. a kind of public transport is passed unimpeded characterized by comprising
    Memory, for storing computer program;
    Processor realizes that the public transport as described in claim 1-8 any one is passed unimpeded index when for executing the computer program The step of acquisition methods.
CN201910635852.0A 2019-07-15 2019-07-15 A kind of public transport is passed unimpeded index acquisition methods, system and device Pending CN110363990A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201910635852.0A CN110363990A (en) 2019-07-15 2019-07-15 A kind of public transport is passed unimpeded index acquisition methods, system and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910635852.0A CN110363990A (en) 2019-07-15 2019-07-15 A kind of public transport is passed unimpeded index acquisition methods, system and device

Publications (1)

Publication Number Publication Date
CN110363990A true CN110363990A (en) 2019-10-22

Family

ID=68219454

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910635852.0A Pending CN110363990A (en) 2019-07-15 2019-07-15 A kind of public transport is passed unimpeded index acquisition methods, system and device

Country Status (1)

Country Link
CN (1) CN110363990A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111932893A (en) * 2020-08-25 2020-11-13 上海宝康电子控制工程有限公司 Method for realizing road section state studying and judging processing based on signal and electric police data fusion technology
CN112150802A (en) * 2020-08-21 2020-12-29 同济大学 Urban road grade division method based on ground bus running state reliability
CN113808388A (en) * 2021-08-03 2021-12-17 珠海市规划设计研究院 Traffic jam analysis method comprehensively considering operation of cars and public traffic
CN113903169A (en) * 2021-08-23 2022-01-07 深圳市金溢科技股份有限公司 Traffic optimization method and device, electronic equipment and storage medium
CN114078322A (en) * 2020-08-18 2022-02-22 上海市交通发展研究中心 Bus running state evaluation method, device, equipment and storage medium
CN114358416A (en) * 2021-12-31 2022-04-15 广东工业大学 Public transport road network partitioning method, system, equipment and medium based on multi-source traffic data
CN114372663A (en) * 2021-11-29 2022-04-19 北京华录高诚科技有限公司 Public transport network transport efficiency index calculation method and device and storage medium
CN117495204A (en) * 2023-12-29 2024-02-02 济南市城市交通研究中心有限公司 Urban bus running efficiency evaluation method and system based on data analysis

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101710449A (en) * 2009-12-04 2010-05-19 吉林大学 Traffic flow running rate recognizing method based on bus GPS data
CN103745089A (en) * 2013-12-20 2014-04-23 北京工业大学 Multi-dimensional public transport operation index evaluation method
CN104183121A (en) * 2014-08-21 2014-12-03 北京交通发展研究中心 Bus route operation quickness evaluation method
CN104318766A (en) * 2014-10-22 2015-01-28 北京建筑大学 Bus GPS track data road network matching method
CN104715610A (en) * 2015-04-09 2015-06-17 银江股份有限公司 Urban traffic-oriented traffic index calculation method
CN105427604A (en) * 2015-12-22 2016-03-23 郑州天迈科技股份有限公司 Realization method for manifesting public-transportation smooth pass index
JP6127645B2 (en) * 2013-03-28 2017-05-17 富士通株式会社 Transit support information creation method, transit support information creation program, and transit support information creation device
CN107610469A (en) * 2017-10-13 2018-01-19 北京工业大学 A kind of day dimension regional traffic index forecasting method for considering multifactor impact
CN107833459A (en) * 2017-10-31 2018-03-23 交通运输部科学研究院 A kind of city bus operation conditions evaluation method based on gps data
CN108985616A (en) * 2018-07-11 2018-12-11 华南理工大学 A kind of public transportation lane evaluation of layout method

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101710449A (en) * 2009-12-04 2010-05-19 吉林大学 Traffic flow running rate recognizing method based on bus GPS data
JP6127645B2 (en) * 2013-03-28 2017-05-17 富士通株式会社 Transit support information creation method, transit support information creation program, and transit support information creation device
CN103745089A (en) * 2013-12-20 2014-04-23 北京工业大学 Multi-dimensional public transport operation index evaluation method
CN104183121A (en) * 2014-08-21 2014-12-03 北京交通发展研究中心 Bus route operation quickness evaluation method
CN104318766A (en) * 2014-10-22 2015-01-28 北京建筑大学 Bus GPS track data road network matching method
CN104715610A (en) * 2015-04-09 2015-06-17 银江股份有限公司 Urban traffic-oriented traffic index calculation method
CN105427604A (en) * 2015-12-22 2016-03-23 郑州天迈科技股份有限公司 Realization method for manifesting public-transportation smooth pass index
CN107610469A (en) * 2017-10-13 2018-01-19 北京工业大学 A kind of day dimension regional traffic index forecasting method for considering multifactor impact
CN107833459A (en) * 2017-10-31 2018-03-23 交通运输部科学研究院 A kind of city bus operation conditions evaluation method based on gps data
CN108985616A (en) * 2018-07-11 2018-12-11 华南理工大学 A kind of public transportation lane evaluation of layout method

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
杭文: "《城市交通拥堵缓解之路》", 31 January 2019 *
魏昌海: "公交车辆站间行程时间预测研究", 《创新驱动与智慧发展——2018年中国城市交通规划年会论文集》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114078322B (en) * 2020-08-18 2024-03-22 上海公共交通卡股份有限公司 Bus running state evaluation method, device, equipment and storage medium
CN114078322A (en) * 2020-08-18 2022-02-22 上海市交通发展研究中心 Bus running state evaluation method, device, equipment and storage medium
CN112150802A (en) * 2020-08-21 2020-12-29 同济大学 Urban road grade division method based on ground bus running state reliability
CN112150802B (en) * 2020-08-21 2022-04-05 同济大学 Urban road grade division method based on ground bus running state reliability
CN111932893B (en) * 2020-08-25 2022-07-05 上海宝康电子控制工程有限公司 Method for realizing road section state studying and judging processing based on signal and electric police data fusion technology
CN111932893A (en) * 2020-08-25 2020-11-13 上海宝康电子控制工程有限公司 Method for realizing road section state studying and judging processing based on signal and electric police data fusion technology
CN113808388A (en) * 2021-08-03 2021-12-17 珠海市规划设计研究院 Traffic jam analysis method comprehensively considering operation of cars and public traffic
CN113903169B (en) * 2021-08-23 2022-10-28 深圳市金溢科技股份有限公司 Traffic optimization method and device, electronic equipment and storage medium
CN113903169A (en) * 2021-08-23 2022-01-07 深圳市金溢科技股份有限公司 Traffic optimization method and device, electronic equipment and storage medium
CN114372663A (en) * 2021-11-29 2022-04-19 北京华录高诚科技有限公司 Public transport network transport efficiency index calculation method and device and storage medium
CN114358416A (en) * 2021-12-31 2022-04-15 广东工业大学 Public transport road network partitioning method, system, equipment and medium based on multi-source traffic data
CN117495204A (en) * 2023-12-29 2024-02-02 济南市城市交通研究中心有限公司 Urban bus running efficiency evaluation method and system based on data analysis
CN117495204B (en) * 2023-12-29 2024-04-16 济南市城市交通研究中心有限公司 Urban bus running efficiency evaluation method and system based on data analysis

Similar Documents

Publication Publication Date Title
CN110363990A (en) A kind of public transport is passed unimpeded index acquisition methods, system and device
Kumar et al. Bus travel time prediction using a time-space discretization approach
WO2019047905A1 (en) Road traffic analysis system, method and apparatus
CN105865472A (en) Vehicle-mounted navigation method based on least oil consumption
CN107563566B (en) Inter-bus-station operation time interval prediction method based on support vector machine
CN105550789A (en) Method for predicting bus taking passenger flow
CN107330217A (en) A kind of middle sight oil consumption Forecasting Methodology based on RBFNN
CN106781490A (en) Urban highway traffic analysis & appraisement on operation system
CN104134349A (en) Bus road condition processing system and method based on traffic multi-source data fusion
CN104575050B (en) A kind of fast road ramp intellectual inducing method and device based on Floating Car
CN103745089A (en) Multi-dimensional public transport operation index evaluation method
EP2650855A1 (en) Traffic information creating device, traffic information creating method and program
CN101739823A (en) Road-section average travel time measuring method suitable for low-frequency sampling
EP2650854A1 (en) Traffic information creating device, traffic information creating method and program
CN112767683B (en) Path induction method based on feedback mechanism
CN107564279A (en) A kind of traffic index computational methods and system based on floating car data
CN107833459A (en) A kind of city bus operation conditions evaluation method based on gps data
Li et al. Cloud aided safety-based route planning
CN112767694A (en) Traffic optimization method and device for relieving road congestion
CN105547310A (en) Apparatus and method for route planning based on PM2.5 healthy trip
CN102800190A (en) Bus transportation velocity extraction method based GPS (Global Positioning System) data of bus
Chepuri et al. Study of travel time variability using two-wheeler probe data–an Indian experience
CN107993441A (en) A kind of lorry often runs away the Forecasting Methodology and device of line
CN104331746A (en) Separate-type dynamic path optimization system and method thereof
CN113408833A (en) Public traffic key area identification method and device and electronic equipment

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination