VISCAL： Heuristic algorithm based application tool to calibrate microscopic simulation parameters

作     者：Mohammad Rayeedul Kalam Siam Shamima Nasrin Md Hadiuzzaman Shah Md Muniruzzaman Nazmul Haque 

作者机构：Department of Civil Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka 1000 Bangladesh Department of Civil Engineering Presidency University Dhaka 1213 Bangladesh Department of Civil Engineering Military Institute of Science and Technology (MIST) Dhaka 1216 Bangladesh 

出 版 物：《Journal of Traffic and Transportation Engineering(English Edition)》 (交通运输工程学报（英文版）)

年 卷 期：2018年第5卷第1期

页      面：28-43页

学科分类：08[工学] 082303[工学-交通运输规划与管理] 082302[工学-交通信息工程及控制] 0823[工学-交通运输工程] 

基　　金：supported by the Committee for Advanced Studies and Research (CASR) Bangladesh University of Engineering and Technology (BUET) 

主　　题：VISSIM Genetic algorithm Simulated annealing Simultaneous perturbation stochastic approximation 

摘      要：VISCAL （VISSIM calibration） is an automated calibration tool for microscopic simulation parameters in VISSIM environment, based on three heuristic optimization algorithms： （a） genetic algorithm （GA）; Col simultaneous perturbation stochastic approximation （SPSA）; （c） simulated annealing （SA）. It is developed with a goal to automate and ease the tedious process of calibration, offering greater flexibility to the users by providing control on every aspect of the calibration process. It includes multiple features for a generic application tool with the ability to test the significance of the appropriate decision parameter set for a particular network, to determine the most suitable objective function to reflect network characteristics, and to check the suitability of any of the three heuristic optimization al- gorithms for a particular network. VISCAL also offers four objective function choices into the system： （1） speed, （2） flow, （3） delay, and （4） multi-objective criteria. It is able to calibrate all the driving behavior parameters for any type （urban, rural） and extent of network （small or large network）. However, for this study, the operation of the tool is tested by a dataset obtained from a 3.26 km freeway of Dhaka, Bangladesh.