Iterative Calibration of VISSIM Simulator Based on Genetic Algorithm
نویسندگان
چکیده
منابع مشابه
Parameter Calibration of VISSIM Simulation Model Based on Genetic Algorithm
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 algorit...
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This paper presents how an optimal optimization method, Genetic Algorithm (GA), is applied for finding a suitable combination of VISSIM parameters. The North-South (NS) Expressway is investigated and simulated in VISSIM platform using field data obtained from Traffic Information Collecting System (TICS) in Shanghai. Numerous simulation tests indicate that the following main parameters have affe...
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1 Mixed traffic, characterized by diverse vehicles, changing composition, lack of lane discipline, etc. is best modeled 2 by micro simulation. However, the majority of the leading micro simulation packages and their calibration 3 methodologies have been developed considering less complex homogeneous traffic. Hence, a methodology for 4 calibrating a micro simulation model for mixed traffic is pr...
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ژورنال
عنوان ژورنال: Acta Technica Jaurinensis
سال: 2015
ISSN: 2064-5228,1789-6932
DOI: 10.14513/actatechjaur.v8.n2.365