Research on Improvement of Parameters Calibration Method of Microscopic Traffic Simulation Model

doi:10.16182/j.issn1004731x.joss.20-FZ0346

Abstract

Abstract: Model parameter calibration is the precondition of application of micro traffic simulation technology. In view of the lack of refined analysis in the model parameter calibration classification and calibration result determination, the corresponding improvement is proposed. The parameter calibration system divides global parameters and local parameters, provides a micro-simulation model parameter calibration method that combines engineering measurement and intelligent optimization. Based on the information entropy as the analysis index of the parameter calibration results, a method of parameter recursion after clustering is proposed. On the basis of the actual survey data of signalized intersections, A simulation experiments and cross-validation experiments are designed to confirm the effectiveness of the improved method.

Key words: microscopic traffic simulation, model parameter calibration, signalized intersection, traffic engineering

CLC Number:

TP391
U491

Zhou Chenjing, Gao Yacong, Rong Jian. Research on Improvement of Parameters Calibration Method of Microscopic Traffic Simulation Model[J]. Journal of System Simulation, 2020, 32(11): 2112-2120.

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