Calibration of Car Following Parameters in VISSIM for Traffic in Kathmandu
Date
2023-12
Authors
Chhetri, Anmol
Journal Title
Journal ISSN
Volume Title
Publisher
I.O.E. Pulchowk Campus
Abstract
Traffic simulation is widely used to perform analysis of traffic operations. Traffic in
Nepal is non-lane based, heterogeneous and mixed while car-following models are
developed for lane based and homogeneous traffic condition. Traffic simulation software
needs to be calibrated to represent local conditions. The main objective of this study was
to calibrate Car-following parameters in VISSIM. The parameters for calibration were
selected based on past studies on VISSIM calibration in heterogeneous traffic condition.
Eleven parameters were selected for analysis. Latin hypercube sampling technique was
used to create the sample set of parameters for simulation. One-way ANOVA was used to
determine the sensitive parameters. Linear equations were developed using sample set
prepared by Latin hypercube sampling technique. Multi objective Genetic algorithm tool
available in MATLAB was used to perform optimization of linear equations to minimize
the difference between field delay and simulated delay. Three car-following parameters
of Widemann-74 model were found sensitive which were calibrated using genetic
algorithm to obtain optimal values. For further study, it is recommended that more than
one intersection can be studied to generate a range of values, and more than one measure
of effectiveness can be selected for robust calibration and validation.
Description
Traffic simulation is widely used to perform analysis of traffic operations. Traffic in
Nepal is non-lane based, heterogeneous and mixed while car-following models are
developed for lane based and homogeneous traffic condition. Traffic simulation software
needs to be calibrated to represent local conditions.
Keywords
Genetic algorithm,, VISSIM,, ANOVA