Research on Detection Data Driven Calibration Method of Traffic Simulation Parameters

doi:10.16182/j.issn1004731x.joss.21-FZ0828

Abstract

Abstract: To improve the accuracy of traffic simulation model and timely response of traffic demand and driving behavior changes, dynamic calibration method of simulation parameters based on detection data is proposed. Dynamic interaction between detection data and simulation platform is proposed. Intersection of Guanghua Road/Jintong East Road in Beijing and five consecutive intersections on Youyi Street in Baotou are Selected as study cases. Sensitivity analysis is conducted on initial parameter combinations. Based on the analysis results, parameters to be calibrated are selected. Models of cases are developed in VISSIM and driving behavior parameters are calibrated. Simulation results show that compared to static calibration and dynamic calibration based on simple rules, the proposed method yields the lowest error but longest time consumption for choosing optimistic parameters.

Key words: traffic simulation model, detection data, dynamic calibration, driving behavior, sensitivity analysis

CLC Number:

TP391.9

Ma Wenxin, Li Ruimin. Research on Detection Data Driven Calibration Method of Traffic Simulation Parameters[J]. Journal of System Simulation, 2021, 33(12): 2808-2819.

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