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2013•Unpublished venueOpen access

Parameter Calibration of VISSIM Simulation Model Based on Genetic Algorithm

Nu er lan Mu han, Yong Qin, Qing hua Zhang, Yan Yang, Zun dong Zhang

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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.

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What this paper is about

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.

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Available 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.

Key concepts: VisSim, Intersection (aeronautics), Calibration, Traffic simulation, Genetic algorithm, Software, Simulation software, Computer science

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