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A Multi-Objective ACO to Solve the Daily Carpool Problem

Author

Listed:
  • Abdelatif Sahraoui

    (LAMIS Laboratory, University of Larbi Tebessi, Tebessa, Algeria)

  • Makhlouf Derdour

    (LRS laboratory, University of Larbi Tebessi, Tebessa, Algeria)

  • Bouchra Marzak

    (Laboratory of Information Processing, Faculty of Sciences Ben M'Sik, Hassan II University, Casablanca, Morocco)

Abstract

In urban areas, the cost of road congestion has paid great attention to the sociological, technological and environmental aspects, such as the optimal route and fuel consumption. This step is towards a smarter vehicle mobility where the travel time will be planned and dynamically adapted to changes with actual status of the traffic flow. In this article a multi-objective ACO algorithm is proposed to solve the daily carpooling problem. In particular, a set of decision variables are proposed in order to minimize three objective functions subject to a set of constraints on these objectives.

Suggested Citation

  • Abdelatif Sahraoui & Makhlouf Derdour & Bouchra Marzak, 2018. "A Multi-Objective ACO to Solve the Daily Carpool Problem," International Journal of Strategic Information Technology and Applications (IJSITA), IGI Global, vol. 9(2), pages 50-60, April.
    • Handle: RePEc:igg:jsita0:v:9:y:2018:i:2:p:50-60
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    Cited by:

    1. Mohammad Asghari & Seyed Mohammad Javad Mirzapour Al-E-Hashem & Yacine Rekik, 2022. "Environmental and social implications of incorporating carpooling service on a customized bus system," Post-Print hal-03598768, HAL.

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