International Journal of Industrial Engineering and Management

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Vol. 11 No. 1 (2020)
Original Research Article

Mitigating the Impact of Congestion Minimization on Vehicles’ Emissions in a Transportation Road Network

Sinan Salman
College of Technological Innovation, Zayed University
Bio
Suzan Alaswad
College of Business, Zayed University
Bio

Published 2020-03-30

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Keywords

  • Markov chain traffic assignment,
  • Sustainable network design,
  • Congestion minimization,
  • Vehicle emissions,
  • Bi-objective optimization

How to Cite

Salman, S., & Alaswad, S. (2020). Mitigating the Impact of Congestion Minimization on Vehicles’ Emissions in a Transportation Road Network. International Journal of Industrial Engineering and Management, 11(1), 40–49. https://doi.org/10.24867/IJIEM-2020-1-251

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.

 

Article history: Received (September 4, 2019); Revised (February 11, 2020); Accepted (February 12, 2020); Published online (March 3, 2020)  

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