The effectiveness of transit-based emergency evacuation highly depends on the route planning. This paper proposes a methodology that can be used to design transit routing plans for evacuating low-mobility population, including young, elderly, disabled, low-income residents without vehicles, and tourists. The distribution of buses in a network during evacuation is assumed to be system optimum (SO) status in this paper. An integer linear programing optimization model is proposed to identify optimal transit evacuation routing plans in a complex road network. The objective of the transit-based route planning model is to minimize the total travel distance of all buses during evacuation time frame. A particle swarm optimization algorithm is designed to solve the problem. An example is conducted using a sample network to assess the performance of the proposed model and solution approach.
A Route Planning Model for Transit-Based Regional Emergency Evacuation
17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China
CICTP 2017 ; 4519-4529
2018-01-18
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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