CN106781474B - A method of traffic accident spot self-healing ability is judged based on traffic video - Google Patents

A method of traffic accident spot self-healing ability is judged based on traffic video Download PDF

Info

Publication number
CN106781474B
CN106781474B CN201611189313.1A CN201611189313A CN106781474B CN 106781474 B CN106781474 B CN 106781474B CN 201611189313 A CN201611189313 A CN 201611189313A CN 106781474 B CN106781474 B CN 106781474B
Authority
CN
China
Prior art keywords
traffic
accident spot
self
index
accident
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.)
Active
Application number
CN201611189313.1A
Other languages
Chinese (zh)
Other versions
CN106781474A (en
Inventor
李豪杰
丁红亮
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.)
Southeast University
Original Assignee
Southeast University
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 Southeast University filed Critical Southeast University
Priority to CN201611189313.1A priority Critical patent/CN106781474B/en
Publication of CN106781474A publication Critical patent/CN106781474A/en
Application granted granted Critical
Publication of CN106781474B publication Critical patent/CN106781474B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

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
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137Measuring and analyzing of parameters relative to traffic conditions for specific applications

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Traffic Control Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a kind of method for judging traffic accident spot self-healing ability based on traffic video, include the following steps: that (1) parameter is chosen;(2) video parameter is extracted;(3) evaluation index determines;(4) self-healing ability is analyzed.The data that the present invention takes are to ensure that the accuracy and authenticity of analysis to a certain extent based on traffic accident video;Carrying out analysis with actual scene and the data of acquisition ensure that stronger engineering construction effect, save manpower and material resources to a certain extent;The self-healing ability for understanding traffic accident spot has preferable management meaning to traffic order, traffic flow self-organizing mechanism based on analysis place where the accident occurred point takes corresponding management measure with organizational capacity, it to guarantee that the traffic flow being destroyed can restore original traffic circulation level with most fast speed, while may be that highway layout provides preferable practical reference criterion.

Description

A method of traffic accident spot self-healing ability is judged based on traffic video
Technical field
The present invention relates to traffic accident spot self-healing ability analysis technical fields, especially a kind of to be sentenced based on traffic video The method of disconnected traffic accident spot self-healing ability.
Background technique
As the development of social economy and car ownership increase year by year, the pressure of road traffic resource is gradually increased. At the same time, traffic accident rate and severity also have corresponding variation, and traffic accident analysis becomes traffic peace The research hotspot in full field.The record of traffic administration personnel when accident occurs mainly was relied on to the analysis of traffic accident in the past Report and photo, the result of judgement, which often ignores real-time traffic overall situation, to be influenced, and causes the result of judgement can partially Difference.The drawbacks of in order to solve the field, related scholar's proposition carry out the reason of analysis accident occurs based on traffic video, pass through view Frequency analysis can preferably restore the situation of traffic environment when accident occurs, and make to analyze result more accurately, rationally.But now The solution of most problems is all the policy and measure relied on after the accident, and often ignoring is a place traffic flow itself The feature and organizational capacity for being included.Roadnet is a complex environment, and vehicle enters the ring as main compositing factor Border is simultaneously travelled according to the wish of itself, and self-organizing forms traffic flow on network, by the inherent operation machine for studying traffic flow System can be improved the efficiency and effect of traffic administration.
The generating process of the place traffic flow organization is mainly concentrated on to the self-healing ability research of accident spot both at home and abroad (phase transformation of traffic flow, tissue criticality) and in traffic system in terms of, by relevant model with And simulated experiment describes the traffic flow micro-variations situation in certain place under varying environment.But most of experiment is all according to mould Quasi- experimental data and experimental model carry out, and give relevant result of study and propose corresponding theoretical basis, comparatively work The specific aim of journey actual embodiment effect is weaker.
Summary of the invention
Technical problem to be solved by the present invention lies in provide one kind and judge traffic accident spot certainly based on traffic video More the method for ability more accurately describes the self-healing ability of accident spot.
In order to solve the above technical problems, the present invention, which provides one kind, judges traffic accident spot self-healing energy based on traffic video The method of power, includes the following steps:
(1) parameter is chosen: choosing practical current volume of traffic V, mean transit time t, conflict point number l, accident spot vehicle Travel speed V is major parameter;
(2) video parameter is extracted: based on the parametric variable selection in (1), parameter extraction is carried out to the video of typing, by thing Therefore take the time between behavior adjustment management to divide to traffic administration personnel after occurring, it was according to every 5 minutes by the period One processing unit is extracted by parameter of the software to each unit;
(3) evaluation index determines: determining that final evaluation index is capacity ratio V/C, reflects that the volume of traffic of accident spot holds Receive ability;Average transit time t indicates the evacuation capacity variation of accident spot;Conflict point surface density l/100m2, reflect accident The order and patency in place;Efficiency indexWhereinIt is corresponding to section equal to the travel speed of accident spot vehicle to design The ratio of speed;
(4) self-healing ability is analyzed: handling to obtain " the practical current volume of traffic by the analysis of (2) step accident spot video V, the parameter values such as mean transit time t, conflict point number l, accident spot Vehicle Speed V ", which is brought into (3) Index, wherein the C in capacity ratio V/C can by consult highway layout standard in ideal traffic capacity value determine, bring V/C into In can calculate the value of capacity ratio, conflict point surface density is the ratio of conflict point number l and 100, efficiency indexFor accident spot vehicle The ratio of travel speed V and highway layout speed, wherein highway layout speed can pass through category of roads and consult highway layout mark Standard is determined;Based on the above calculating can respectively obtain corresponding index as a result, it is desirable to compare each index value of each unit respectively Situation of change, according to situation of change can analysis " efficiency, patency, stability " quantitatively variation, wherein capacity ratio V/C Changing value can determine whether the index changed as accident spot " stability ", efficiency indexIt can be used as accident with mean transit time t The index of place " efficiency " variation, conflict point surface density can be used as the index for judging accident spot " patency ", pass through three The situation of change of aspect can directly judge the self-healing ability of accident spot.
Preferably, in step (2), processing software Autoscope, by the way that the video of acquisition is imported into the processing software In, the testing equipments such as virtual detector, required parameter value in acquisition (1) are added by Net-connected computer.
The invention has the benefit that the data taken are ensure that a certain extent point based on traffic accident video The accuracy and authenticity of analysis;Carrying out analysis with actual scene and the data of acquisition ensure that stronger engineering construction effect Fruit proposes targetedly according to the self-healing ability of different location difference accident situation analysis place where the accident occurred and according to analysis result Measures and proposals avoid the implementation of " general character measure ", have saved manpower and material resources to a certain extent;Understand traffic accident The self-healing ability on ground has preferable management meaning, the traffic flow self-organizing machine based on analysis place where the accident occurred point to traffic order Reason takes corresponding management measure with organizational capacity, to guarantee that the traffic flow being destroyed can restore original with most fast speed Traffic circulation it is horizontal, while may be that highway layout provides and preferable practical uses for reference criterion.
Detailed description of the invention
Fig. 1 is example Path selection schematic diagram of the invention.
Specific embodiment
As shown in Figure 1, a kind of method that traffic accident spot self-healing ability is judged based on traffic video, including walk as follows It is rapid:
(1) parameter is chosen: choosing practical current volume of traffic V, mean transit time t, conflict point number l, accident spot vehicle Travel speed V is major parameter;
(2) video parameter is extracted: based on the parametric variable selection in (1), parameter extraction is carried out to the video of typing, by thing Therefore take the time between behavior adjustment management to divide to traffic administration personnel after occurring, it was according to every 5 minutes by the period One processing unit is extracted by parameter of the software to each unit;Processing software is Autoscope, by that will acquire Video imported into the processing software, the testing equipments such as virtual detector are added by Net-connected computer, in acquisition (1) needed for The parameter value wanted;
(3) evaluation index determines: determining that final evaluation index is capacity ratio V/C, reflects that the volume of traffic of accident spot holds Receive ability;Average transit time t indicates the evacuation capacity variation of accident spot;Conflict point surface density l/100m2, reflect accident The order and patency in place;Efficiency indexWhereinIt is corresponding to section equal to the travel speed of accident spot vehicle to design The ratio of speed;
(4) self-healing ability is analyzed: handling to obtain " the practical current volume of traffic by the analysis of (2) step accident spot video V, the parameter values such as mean transit time t, conflict point number l, accident spot Vehicle Speed V ", which is brought into (3) Index, wherein the C in capacity ratio V/C can by consult highway layout standard in ideal traffic capacity value determine, bring V/C into In can calculate the value of capacity ratio, conflict point surface density is the ratio of conflict point number l and 100, efficiency indexFor accident spot vehicle The ratio of travel speed V and highway layout speed, wherein highway layout speed can pass through category of roads and consult highway layout mark Standard is determined;Based on the above calculating can respectively obtain corresponding index as a result, it is desirable to compare each index value of each unit respectively Situation of change, according to situation of change can analysis " efficiency, patency, stability " quantitatively variation, wherein capacity ratio V/C Changing value can determine whether the index changed as accident spot " stability ", efficiency indexIt can be used as accident with mean transit time t The index of place " efficiency " variation, conflict point surface density can be used as the index for judging accident spot " patency ", pass through three The situation of change of aspect can directly judge the self-healing ability of accident spot.
Illustrate the present invention with specific embodiment below.
(1) video parameter is handled: the traffic accident occurrence record video of acquisition being imported in Autoscope software, is passed through It sets analog detector and recorder (line of reference is set according to place where the accident occurred point) acquires required parameter value, such as table 1-1 It is shown.
Table 1-1 statistics of data acquisition table
(2) index calculated value: handling resulting data based on related software and calculate index corresponding in each period, The parameter of this example is as shown in table 1-2.
Table 1-2 index counting statistics table
(3) self-healing ability is analyzed: index value calculated in (2) is for statistical analysis, in the little feelings of data volume Sunykatuib analysis can be carried out using simple excel under condition.The conclusion of this test is the applicability in order to illustrate index, numerical value Be assuming that in the case where explain.It finds that capacity ratio can slowly become larger with the time by data analysis, indicates logical The process of the accident spot self-healing place traffic flow overall stability is crossed slowly to reinforce;The variation of " passing through the time " index, which is stablized, to be maintained Under certain level, indicate that in the degree of crowding variation of accident spot self-healing stage road be not apparent;The face of conflict point Variable density is more obvious, illustrates that accident spot self-healing procedure greatly reduces vehicle collision as the variation of time gradually becomes smaller; Efficiency index calculated result variation tendency is similar with the travel time, the less relatively stable explanation row in self-healing procedure of overall variation Vehicle efficiency does not have greatly improved.
Although the present invention is illustrated and has been described with regard to preferred embodiment, it is understood by those skilled in the art that Without departing from scope defined by the claims of the present invention, variations and modifications can be carried out to the present invention.

Claims (2)

1. a kind of method for judging traffic accident spot self-healing ability based on traffic video, which is characterized in that including walking as follows It is rapid:
(1) parameter is chosen: choosing practical current volume of traffic V, mean transit time t, conflict point number l, accident spot vehicle row Sailing speed V is major parameter;
(2) video parameter is extracted: based on the parametric variable selection in (1), carrying out parameter extraction to the video of typing, accident is sent out Take the time between behavior adjustment management to divide to traffic administration personnel after life, by the period according to every 5 minutes be one Processing unit is extracted by parameter of the software to each unit;
(3) evaluation index determines: determining that final evaluation index is capacity ratio V/C, reflects that the volume of traffic of accident spot accommodates energy Power;Average transit time t indicates the evacuation capacity variation of accident spot;Conflict point surface density l/100m2, reflect accident spot Order and patency;Efficiency indexWhereinDesin speed corresponding to section equal to the travel speed of accident spot vehicle Ratio;
(4) self-healing ability is analyzed: being handled to obtain by the analysis of (2) step accident spot video and " practical current volume of traffic V, be put down By time t, conflict point number l, accident spot Vehicle Speed V " parameter value, which is brought into (3) Index, wherein the C in capacity ratio V/C is determined by the ideal traffic capacity value consulted in highway layout standard, is brought V/C into and is fallen into a trap The value of capacity ratio is calculated, conflict point surface density is the ratio of conflict point number l and 100, efficiency indexFor accident spot vehicle driving The ratio of speed V and highway layout speed, wherein highway layout speed is consulted highway layout standard by category of roads and is carried out really It is fixed;Based on the above calculating respectively obtain corresponding index as a result, it is desirable to compare the situation of change of each index value of each unit respectively, According to the variation of the quantitative analysis of situation of change " efficiency, patency, stability ", wherein capacity ratio V/C changing value is used as and sentences The index of disconnected accident spot " stability " variation, efficiency indexChange with mean transit time t as accident spot " efficiency " Index, for conflict point surface density as the index for judging accident spot " patency ", the situation of change by three aspects is direct Judge the self-healing ability of accident spot;Find that capacity ratio can slowly become larger with the time by data analysis, expression passes through thing The process of the old place point self-healing place traffic flow overall stability is slowly reinforced;The variation of " passing through the time " index is stably maintained at one Under fixed level, indicate that in the degree of crowding variation of accident spot self-healing stage road be not apparent;The surface density of conflict point Variation is more obvious, illustrates that accident spot self-healing procedure greatly reduces vehicle collision as the variation of time gradually becomes smaller;Efficiency Index calculated result variation tendency is similar with the travel time, and the less relatively stable explanation of overall variation is imitated in self-healing procedure middle rolling car Rate does not have greatly improved.
2. judging the method for traffic accident spot self-healing ability based on traffic video as described in claim 1, feature exists In in step (2), processing software Autoscope passes through networking by the way that the video of acquisition to be imported into the processing software Computer adds virtual detector testing equipment, required parameter value in acquisition (1).
CN201611189313.1A 2016-12-21 2016-12-21 A method of traffic accident spot self-healing ability is judged based on traffic video Active CN106781474B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201611189313.1A CN106781474B (en) 2016-12-21 2016-12-21 A method of traffic accident spot self-healing ability is judged based on traffic video

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201611189313.1A CN106781474B (en) 2016-12-21 2016-12-21 A method of traffic accident spot self-healing ability is judged based on traffic video

Publications (2)

Publication Number Publication Date
CN106781474A CN106781474A (en) 2017-05-31
CN106781474B true CN106781474B (en) 2019-03-12

Family

ID=58893343

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201611189313.1A Active CN106781474B (en) 2016-12-21 2016-12-21 A method of traffic accident spot self-healing ability is judged based on traffic video

Country Status (1)

Country Link
CN (1) CN106781474B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107016851B (en) * 2017-05-24 2019-06-28 大连理工大学 The method that a kind of quantitative analysis city built environment influences road journey time

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101017608A (en) * 2007-03-01 2007-08-15 上海三全科技有限公司 The single-loop and single-section onsite detection method for traffic situation and traffic accident
CN102360526A (en) * 2011-09-28 2012-02-22 东南大学 Real-time monitoring method for road section state of high road
CN102419905A (en) * 2011-08-12 2012-04-18 北京航空航天大学 Traffic-wave theory-based traffic influence area determining method of expressway accidents
CN104464321A (en) * 2014-12-17 2015-03-25 合肥革绿信息科技有限公司 Intelligent traffic guidance method based on traffic performance index development trend

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9349288B2 (en) * 2014-07-28 2016-05-24 Econolite Group, Inc. Self-configuring traffic signal controller

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101017608A (en) * 2007-03-01 2007-08-15 上海三全科技有限公司 The single-loop and single-section onsite detection method for traffic situation and traffic accident
CN102419905A (en) * 2011-08-12 2012-04-18 北京航空航天大学 Traffic-wave theory-based traffic influence area determining method of expressway accidents
CN102360526A (en) * 2011-09-28 2012-02-22 东南大学 Real-time monitoring method for road section state of high road
CN104464321A (en) * 2014-12-17 2015-03-25 合肥革绿信息科技有限公司 Intelligent traffic guidance method based on traffic performance index development trend

Also Published As

Publication number Publication date
CN106781474A (en) 2017-05-31

Similar Documents

Publication Publication Date Title
US20200211374A1 (en) System, method, and apparatus for analyzing a traffic road condition
CN107610469B (en) Day-dimension area traffic index prediction method considering multi-factor influence
Lin et al. Using machine learning to assist crime prevention
Park et al. Development and Evaluation of a Procedure for the Calibration of Simulation Models
CN104464321B (en) Intelligent traffic guidance method based on traffic performance index development trend
CN108320511A (en) Urban highway traffic sub-area division method based on spectral clustering
CN107134142A (en) A kind of urban road method for predicting based on multisource data fusion
CN103984994B (en) Method for predicting urban rail transit passenger flow peak duration
CN110677859A (en) Method and device for determining weak coverage area and computer readable storage medium
CN106792523B (en) A kind of anomaly detection method based on extensive WiFi activity trajectory
CN107958031A (en) Resident trip OD distribution extracting methods based on fused data
CN113922412B (en) New energy multi-station short-circuit ratio panoramic evaluation method, system, storage medium and computing equipment
CN103888961B (en) A kind of user monitoring method and device
CN104750800A (en) Motor vehicle clustering method based on travel time characteristic
CN106651027A (en) Internet regular bus route optimization method based on social network
CN109598931A (en) Group based on traffic safety risk divides and difference analysis method and system
CN111798162A (en) Risk monitoring method and device based on neural network
CN106781474B (en) A method of traffic accident spot self-healing ability is judged based on traffic video
CN107122475A (en) Big data abnormal point detecting method and its system
CN113642162A (en) Simulation comprehensive analysis method for urban road traffic emergency plan
Zhang et al. An approach for real-time urban traffic state estimation by fusing multisource traffic data
CN115620513B (en) Urban road network state monitoring method and visualization system based on toughness analysis
CN116361974A (en) Data source importance discriminating method based on highway service and data network
CN107517474B (en) Network analysis optimization method and device
Henning et al. Methodology for determining critical locations in road networks based on graph theory

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
GR01 Patent grant
GR01 Patent grant