Journal of System Simulation
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.
Recommended Citation
Zhou, Chenjing; Gao, Yacong; and Jian, Rong
(2020)
"Research on Improvement of Parameters Calibration Method of Microscopic Traffic Simulation Model,"
Journal of System Simulation: Vol. 32:
Iss.
11, Article 6.
DOI: 10.16182/j.issn1004731x.joss.20-FZ0346
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol32/iss11/6
First Page
2112
Revised Date
2019-08-02
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.20-FZ0346
Last Page
2120
CLC
TP391;U491
Recommended Citation
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.
DOI
10.16182/j.issn1004731x.joss.20-FZ0346
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