Document Type
Article
Source of Publication
International Journal of Industrial Engineering and Management
Publication Date
3-1-2020
Abstract
Traffic optimization normally improves flow conditions at the expense of increased vehicles’ emissions. This paper proposes a bi-objective optimization approach to address this situation. In contrast to existing literature, this study considers environmental and congestion impacts of Network Design Problems (NDPs) using the Markov chain traffic assignment approach instead of user equilibrium. The NDP model selectively reverses roads’ directions to improve network performance. The model is optimized by simultaneously minimizing maximum traffic density and total vehicles’ emissions cost using non-dominated sorting genetic algorithm. A realistic city example was used to demonstrate the approach’s efficiency. Results showed that a compromise solution between the two objectives is more practical than single-objective optimization solutions.
DOI Link
ISSN
Publisher
Faculty of Technical Sciences
Volume
11
First Page
40
Last Page
49
Disciplines
Computer Sciences
Keywords
Bi-objective optimization, Congestion minimization, Markov chain traffic assignment, Sustainable network design, Vehicle emissions
Scopus ID
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Recommended Citation
Salman, S. and Alaswad, S., "Mitigating the Impact of Congestion Minimization on Vehicles’ Emissions in a Transportation Road Network" (2020). All Works. 4138.
https://zuscholars.zu.ac.ae/works/4138
Indexed in Scopus
yes
Open Access
yes
Open Access Type
Gold: This publication is openly available in an open access journal/series