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作 者:Palak Maheshwary Kinjal Bhattacharyya Bhargab Maitra Manfred Boltze
机构地区:[1]ARCADIS,Bengaluru 560017,India [2]Department of Civil Engineering,Indian Institute of Technology Kharagpur,Kharagpur 721302,India [3]Department of Civil and Environmental Engineering,Technische Universitat Darmstadt,Darmstadt 64287,Germany
出 处:《Journal of Traffic and Transportation Engineering(English Edition)》2020年第4期507-519,共13页交通运输工程学报(英文版)
摘 要:Traffic micro-simulation is a widely accepted tool in many countries for the evaluation and assessment of alternative design schemes.However,for several developing countries,replicating heterogeneous,non-lane based traffic in a micro-simulation framework is gaining increased importance and still remains a challenge due to its complexity.The present study demonstrates a methodology to calibrate a traffic micro-simulation model giving due consideration to vehicle-class specific driver behavior in an urban Indian scenario for a midblock section and an intersection approach in Kolkata.The sensitive parameters affecting the driver behavior were identified for every vehicle type using Latin Hyper cube design,taking vehicle class specific travel time as a performance measure.Linear regression models were developed for each vehicle class considering the sensitive driving behavior parameters.The models highlight that the dependency of measure of effectiveness(MOE)of one vehicle type is not only limited to its own driver behavior but also on parameters of other vehicle classes.A genetic algorithm based optimization was adopted to obtain optimal parameter sets for different vehicle classes.The optimum values were found to vary significantly across all vehicle classes at a 95%confidence level.Single and multi-criteria calibration principles are also implemented to yield much more realistic results and subsequently minimizing weighted error for all vehicle classes.
关 键 词:Traffic operation MICRO-SIMULATION Heterogeneous traffic Vehicle-class Driver behavior VISSIM
分 类 号:U491[交通运输工程—交通运输规划与管理]
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