Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)

Parameter Calibration of VISSIM Simulation Model Based on Genetic Algorithm

Authors
Nu er lan Mu han, Yong Qin, Qing hua Zhang, Yan fang Yang, Zun dong Zhang
Corresponding Author
Nu er lan Mu han
Available Online August 2013.
DOI
10.2991/icacsei.2013.142How to use a DOI?
Keywords
Parameter calibration,genetic algorithm, micro- scopic traffic simulation, single signalized intersection.
Abstract

Genetic algorithm is used to calibrate four driving behavior parameters and a set of calibration procedure is put forward based on VISSIM. Using the approach maximum queue length and travel time as the evaluation indexes and applying the calibration method to a single signalized intersection of Yizhuang Zone in Beijing, which validates the effectiveness and practicability of the genetic algorithm in VISSIM parameter calibration.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
Series
Advances in Intelligent Systems Research
Publication Date
August 2013
ISBN
10.2991/icacsei.2013.142
ISSN
1951-6851
DOI
10.2991/icacsei.2013.142How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Nu er lan Mu han
AU  - Yong Qin
AU  - Qing hua Zhang
AU  - Yan fang Yang
AU  - Zun dong Zhang
PY  - 2013/08
DA  - 2013/08
TI  - Parameter Calibration of VISSIM Simulation Model Based on Genetic Algorithm
BT  - Proceedings of the 2013 International Conference on Advanced Computer Science and Electronics Information (ICACSEI 2013)
PB  - Atlantis Press
SP  - 591
EP  - 596
SN  - 1951-6851
UR  - https://doi.org/10.2991/icacsei.2013.142
DO  - 10.2991/icacsei.2013.142
ID  - Muhan2013/08
ER  -