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- W290269318 abstract "Unlike normal traffic incidents, incidents involving hazardous material are associated with significant traffic delays. As highways in cities are getting more and more crowded, monetary loss of the delay is getting massive. The formulation of the hazardous material routing and scheduling problem presented in this paper considers such potential effect of a hazardous material incident, in addition to the traditionally considered risk to exposed population. Loss due to congestion created by the incident is used as its measure. The objective is to minimize sum of the population-based and congestion-based risk cost. The model was used to explore routing and scheduling in a virtual instance of hazardous material transportation derived from road network of Osaka City, Japan. The problem was solved using Ant Colony System-based algorithms and was compared with optimal routes obtained considering population-based and congestion-based risk, respectively, as the sole criterion. The comparison showed that the model provides a better alternative to the conventional population-based model as it gives compromised optimal solution avoiding paths that causes large increase of the congestion-based cost." @default.
- W290269318 created "2016-06-24" @default.
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- W290269318 date "2013-01-01" @default.
- W290269318 modified "2023-09-26" @default.
- W290269318 title "A Risk Based Vehicle Routing and Scheduling Problem with Time Windows in Hazardous Material Transportation" @default.
- W290269318 hasPublicationYear "2013" @default.
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