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A methodology for calibration of vehicle class-wise driving behavior in heterogeneous traffic environment

Boltze, Manfred and Maheshwary, Palak and Bhattacharyya, Kinjal and Maitra, Bhargab (2017):
A methodology for calibration of vehicle class-wise driving behavior in heterogeneous traffic environment.
In: General proceedings of the World Conference on Transport Research (WCTR), [Online-Edition: http://www.verkehr.tu-darmstadt.de/media/verkehr/fgvv/prof_b...],
[Article]

Abstract

In developed countries, traffic microsimulation is already a widely accepted tool for the evaluation and assessment of alternative design schemes, e.g. for different signal timing plans for a road network. However, for developing countries, replicating heterogeneous and non-lane based traffic in a microsimulation model is gaining increased importance and still remains a challenge. The present study demonstrates a methodology to calibrate vehicle class-wise driver behavior in an urban Indian scenario using data from a midblock section and an intersection approach in Kolkata. The study area was modeled using the VISSIM microscopic simulator. The sensitive parameters affecting the driver behavior are identified for every vehicle type using latin hypercube sampling, taking vehicle specific travel time as a performance measure. Further, a single criteria and multi criteria calibration approach based on a genetic algorithm is highlighted in this paper.

Item Type: Article
Erschienen: 2017
Creators: Boltze, Manfred and Maheshwary, Palak and Bhattacharyya, Kinjal and Maitra, Bhargab
Title: A methodology for calibration of vehicle class-wise driving behavior in heterogeneous traffic environment
Language: English
Abstract:

In developed countries, traffic microsimulation is already a widely accepted tool for the evaluation and assessment of alternative design schemes, e.g. for different signal timing plans for a road network. However, for developing countries, replicating heterogeneous and non-lane based traffic in a microsimulation model is gaining increased importance and still remains a challenge. The present study demonstrates a methodology to calibrate vehicle class-wise driver behavior in an urban Indian scenario using data from a midblock section and an intersection approach in Kolkata. The study area was modeled using the VISSIM microscopic simulator. The sensitive parameters affecting the driver behavior are identified for every vehicle type using latin hypercube sampling, taking vehicle specific travel time as a performance measure. Further, a single criteria and multi criteria calibration approach based on a genetic algorithm is highlighted in this paper.

Journal or Publication Title: General proceedings of the World Conference on Transport Research (WCTR)
Uncontrolled Keywords: Microsimulation; Heterogeneous; Class-wise; VISSIM; Driver behavior; Latin hypercube; Multi criteria; Genetic Algorithm
Divisions: 13 Department of Civil and Environmental Engineering Sciences
13 Department of Civil and Environmental Engineering Sciences > Institutes of Transportation
13 Department of Civil and Environmental Engineering Sciences > Institutes of Transportation > Institute for Transport Planning and Traffic Engineering
Event Location: Shanghai, China
Event Dates: 10 - 15 July 2016
Date Deposited: 28 Apr 2017 11:40
Official URL: http://www.verkehr.tu-darmstadt.de/media/verkehr/fgvv/prof_b...
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