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Operations Research Models for Global Route Planning in Hazardous Material Transportation

In: Handbook of OR/MS Models in Hazardous Materials Transportation

Author

Listed:
  • Lucio Bianco

    (Università degli Studi di Roma Tor Vergata)

  • Massimiliano Caramia

    (Università degli Studi di Roma Tor Vergata)

  • Stefano Giordani

    (Università degli Studi di Roma Tor Vergata)

  • Veronica Piccialli

    (Università degli Studi di Roma Tor Vergata)

Abstract

The chapter introduces the master routing problem and its variants in hazmat transportation. Global routing is the main focus. Different objectives are discussed taking into account the roles played by the actors involved in the decision process, i.e., carriers and governmental authorities. Emphasis is in particular given to network design and toll setting in such issues. The network design problem consists in defining either the subnetwork of the entire transportation network onto which hazmat flow can be routed with minimum risk, or the capacities allowed for such a flow on each network arc to achieve the same objective. Network design involves also the successive carrier decision about the minimum cost paths to be used on the designed network. Therefore it is a biobjective problem with two decision makers, and, in the literature, a bilevel optimization approach is often used. Toll setting is a recent topic of research in hazmat transportation: the idea is to use a toll policy to discourage carriers from overloading portions of the network with the consequent increase of the risk exposure on the population involved. Approaches based on bilevel optimization and game theory are discussed and compared.

Suggested Citation

  • Lucio Bianco & Massimiliano Caramia & Stefano Giordani & Veronica Piccialli, 2013. "Operations Research Models for Global Route Planning in Hazardous Material Transportation," International Series in Operations Research & Management Science, in: Rajan Batta & Changhyun Kwon (ed.), Handbook of OR/MS Models in Hazardous Materials Transportation, edition 127, pages 49-101, Springer.
    • Handle: RePEc:spr:isochp:978-1-4614-6794-6_3
    DOI: 10.1007/978-1-4614-6794-6_3
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    Citations

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    Cited by:

    1. Vaezi Ali & Verma Manish, 2021. "Exploring an Infrastructure Investment Methodology to Risk Mitigation from Rail Hazardous Materials Shipments," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 12(1), pages 1-16, December.
    2. Yevhen FORNALCHYK & Maksym AFONIN & Taras POSTRANSKYY & Mykola BOIKIVBOIKIV, 2021. "Risk Assessment During The Transportation Of Dangerous Goods Considering The Functional State Of The Driver," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(1), pages 139-152, March.
    3. Sharaf AlKheder, 2022. "Risk assessment of fuel energy transportation in Kuwait," Journal of Transportation Security, Springer, vol. 15(3), pages 223-243, December.
    4. Tolou Esfandeh & Rajan Batta & Changhyun Kwon, 2018. "Time-Dependent Hazardous-Materials Network Design Problem," Transportation Science, INFORMS, vol. 52(2), pages 454-473, March.
    5. Paul Berglund & Changhyun Kwon, 2014. "Robust Facility Location Problem for Hazardous Waste Transportation," Networks and Spatial Economics, Springer, vol. 14(1), pages 91-116, March.
    6. Gu, Wenjuan & Archetti, Claudia & Cattaruzza, Diego & Ogier, Maxime & Semet, Frédéric & Speranza, M. Grazia, 2024. "Vehicle routing problems with multiple commodities: A survey," European Journal of Operational Research, Elsevier, vol. 317(1), pages 1-15.
    7. Talarico, Luca & Sörensen, Kenneth & Springael, Johan, 2015. "Metaheuristics for the risk-constrained cash-in-transit vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 244(2), pages 457-470.
    8. Ke, Ginger Y. & Zhang, Huiwen & Bookbinder, James H., 2020. "A dual toll policy for maintaining risk equity in hazardous materials transportation with fuzzy incident rate," International Journal of Production Economics, Elsevier, vol. 227(C).
    9. Hosseini, S. Davod & Verma, Manish, 2018. "Conditional value-at-risk (CVaR) methodology to optimal train configuration and routing of rail hazmat shipments," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 79-103.

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