Research on Detection Data Driven Calibration Method of Traffic Simulation Parameters

Authors

Wenxin Ma, Tsinghua University, Beijing 100084, China;
Ruimin Li, Tsinghua University, Beijing 100084, China;

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.

Recommended Citation

Ma, Wenxin and Li, Ruimin (2022) "Research on Detection Data Driven Calibration Method of Traffic Simulation Parameters," Journal of System Simulation: Vol. 33: Iss. 12, Article 5.
DOI: 10.16182/j.issn1004731x.joss.21-FZ0828
Available at: https://dc-china-simulation.researchcommons.org/journal/vol33/iss12/5

First Page

2808

Revised Date

2021-08-16

DOI Link

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

Last Page

2819

CLC

TP391.9

Recommended Citation

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.

Corresponding Author

Ruimin Li,

DOI

10.16182/j.issn1004731x.joss.21-FZ0828