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Related Experiment Videos

Hazardous materials transportation: a risk-analysis-based routing methodology.

P Leonelli1, S Bonvicini, G Spadoni

  • 1Department of Chemical, Mining Engineering and Environmental Technologies, University of Bologna, Viale del Risorgimento 2, I-40136, Bologna, Italy.

Journal of Hazardous Materials
|February 29, 2000
PubMed
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This study presents a risk analysis method for optimal hazardous substance transport routes. It formulates the problem as a minimum cost flow problem, considering both expenses and safety risks.

Area of Science:

  • Operations Research
  • Transportation Safety
  • Risk Management

Background:

  • Selecting optimal routes for hazardous material transport is complex.
  • Existing methods may not adequately balance cost and safety.
  • Societal and individual risk measures are crucial for hazardous substance transportation.

Purpose of the Study:

  • To introduce a novel risk analysis methodology for hazardous substance transport route selection.
  • To optimize transportation by minimizing costs while adhering to safety constraints.
  • To develop a computational tool for implementing the proposed optimization procedure.

Main Methods:

  • Network representation as a graph with nodes and arcs.
  • Assigning costs and capacities to arcs, incorporating risk measures.

Related Experiment Videos

  • Formulating the problem as a minimum cost flow problem.
  • Developing the OPTIPATH computer code for optimization.

    • Main Results:

    • The methodology successfully integrates transportation costs and risk-related costs.
    • Arc capacities are defined based on hazardous materials transportation risk criteria.
    • The minimum cost flow formulation determines the most economical distribution honoring capacities.
    • Test results for ammonia shipments demonstrate the method's applicability.

    Conclusions:

    • The proposed risk analysis methodology provides an effective approach for hazardous substance transport route optimization.
    • The OPTIPATH code offers a practical tool for implementing this optimization.
    • Further research can extend the methodology to more complex scenarios and substances.