Mesoscopic Traffic Simulation Model and Calibration Considering Stretching-segment Design

doi:10.16182/j.issn1004731x.joss.19-0661

Abstract

Abstract: In order to make the simulation model fit the characteristics of urban traffic, both high accuracy and high performance, a lightweight mesoscopic traffic simulation system and the process of calibration are established. The speed-density model and vertical queue model are equivalent to the vehicle movement processes, the simulation accuracy and calibration efficiency are improved by the stretching-segment design at urban intersections of vertical queuing model, and the real individual vehicle information is used as the calibration data source. The application of the model in Xuancheng urban road network shows that, compared with the vertical queuing model, it can better reflect the actual road characteristics. The accuracy of the traffic sequence can be improved by 139 veh/2h on average, the saturation and overflow scenes of the stretching-segment can be restored. The generalization ability of calibrated parameters is strong, and the error of calibrated parameters in practical application is less than 8.7%, which can effectively ensure the accuracy of the simulation model.

Key words: intelligent transportation, mesoscopic traffic simulation, vertical queue model, parameter calibration, automatic vehicle identification

CLC Number:

U491
TP391

He Zhaocheng, Lin Xuanhua, Nie Peilin, Zhang Ronghui. Mesoscopic Traffic Simulation Model and Calibration Considering Stretching-segment Design[J]. Journal of System Simulation, 2021, 33(4): 781-791.

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