A Simulation Model Calibration Method Based on Traffic Conflict Extremum Distribution

A technology of traffic conflict and extreme value distribution, applied in traffic flow detection, traffic control system, traffic control system of road vehicles, etc., can solve the problems of traffic safety evaluation error and evaluation result error, so as to improve simulation results and reduce subjective Awareness influence, effect of accurate and reliable traffic safety evaluation results

Active Publication Date: 2021-09-07
SOUTHEAST UNIV
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Problems solved by technology

Existing traffic simulation conflicts generally use the default simulation model parameters, but the simulation results deviate greatly from the measured results, which will lead to large errors in traffic safety evaluation, and even lead to errors in evaluation results

Method used

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  • A Simulation Model Calibration Method Based on Traffic Conflict Extremum Distribution
  • A Simulation Model Calibration Method Based on Traffic Conflict Extremum Distribution
  • A Simulation Model Calibration Method Based on Traffic Conflict Extremum Distribution

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Embodiment Construction

[0020] The technical solutions of the present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0021] The simulation model calibration method based on traffic conflict extreme value distribution of the present invention comprises the following steps:

[0022] Step 1. Traffic data collection, video cameras are used to record at signalized intersections. Through the recorded video, the hourly traffic volume Q, average speed V, vehicle flow path L, signal timing W, and the time period in units of 5 minutes are analyzed. The traffic conflicts and the collision time TTC of each traffic conflict are collected for data collection.

[0023] Step 2. Fitting the distribution of the extreme value of the measured traffic conflict, using the formula (1) to fit the distribution of the extreme value of the measured traffic conflict in the 5-minute time period:

[0024]

[0025] Where y represents the opposite number of collision t...

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Abstract

The invention discloses a simulation model calibration method based on traffic conflict extreme value distribution, comprising the following steps: (1) traffic conflict data collection; (2) measured traffic conflict extreme value distribution fitting; (3) traffic simulation model building; (4) Calibration of the traffic simulation model. The invention firstly collects actual traffic conflict data, then fits the traffic conflict extreme value distribution, then builds a traffic simulation model, and finally calibrates the simulation model based on the method proposed by the invention. The invention can improve the accuracy of the traffic simulation model, and has practical engineering application value in traffic safety evaluation.

Description

technical field [0001] The invention relates to the technical fields of traffic safety and traffic simulation, in particular to a simulation model calibration method based on traffic conflict extreme value distribution. Background technique [0002] The high frequency of traffic conflicts plays an important role in the evaluation of road traffic safety. However, the main means of observing traffic conflicts is manual observation, which has high costs, low repeatability, and the judgment of traffic conflicts is subjective, so there are inevitable defects. Especially when evaluating the traffic design scheme, because the scheme is in the design stage and has not been implemented, it is impossible to use manual observation methods to collect traffic conflict data, and the traffic simulation method can provide a simulated traffic conflict for traffic safety evaluation. Existing traffic simulation conflicts generally use the default simulation model parameters, but the simulatio...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q50/06G08G1/01G08G1/017
CPCG06Q10/067G06Q50/06G08G1/0125G08G1/0175
Inventor 郭延永刘攀吴瑶丁红亮欧阳鹏瑛
Owner SOUTHEAST UNIV
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