Study On Calibration Method Of Traffic Simulation Parameter Based On Electronic Police Data

The micro-traffic simulation model can simulate the road traffic operation status,providing a reliable verification method and decision-making basis for the traffic control department.The essence of the simulation model is to use independent parameters such as driver behavior to define the operating status of each element in the system.The value range of each parameter of the simulation model is determined by the country where the model is developed according to its own national conditions.For example,the PTV-VISSIM studied in this paper highly restores the foreign traffic environment,and its parameter settings are not completely suitable for my country’s actual urban road traffic conditions.Aiming at the traffic simulation model of specific objects,the research on the calibration method of traffic simulation parameters based on electronic police data is carried out.It summarizes the current domestic and foreign development status of the evaluation indicators of traffic operation status,the selection of calibration parameters of the microscopic traffic simulation model and the calibration methods,and the purpose and significance of the research are clarified.In order to reduce errors,the characteristics of the license plate recognition data are used to clean the abnormal electronic police data and fit the vacant data to ensure the accuracy and validity of the traffic data.According to the characteristics of urban road traffic and related principles,the quantitative evaluation index of traffic operation status is selected.Based on the evaluation target and parameter sensitivity analysis,the parameters to be calibrated are selected,and the genetic algorithm is improved to complete the calibration work.On the basis of the above,program design is realized through programming language.Taking the intersection of Xinhua Road and Youyi Road in Tangshan City as an example,the simulation results under parameter calibration are obtained and compared with the evaluation results under the default parameters.Figure 44;Table 18;Reference 65...