Author First name, Last name, Institution

S. Salman, Zayed University
S. Alaswad, Zayed University

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.

ISSN

2217-2661

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

85103093491

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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