Vehicle Priority Selection Algorithm for Evacuation Planning

  • Authors:
  • Marina Yusoff;Junaidah Ariffin;Azlinah Mohamed

  • Affiliations:
  • Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia 40450;Faculty of Civil Engineering, Universiti Teknologi MARA, Shah Alam, Malaysia 40450;Faculty of Information Technology & Quantitative Sciences, Universiti Teknologi MARA, Shah Alam, Malaysia 40450

  • Venue:
  • ICCSA '08 Proceeding sof the international conference on Computational Science and Its Applications, Part I
  • Year:
  • 2008

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Abstract

For decades, numerous types of disasters have drawn an array of evacuation planning approaches to support evacuation processes with the objective to minimize total evacuation time. This paper focuses on the construction of optimization evacuation route planning method considering routes and capacity of vehicles. Vehicle Priority Selection (VPS) algorithm was constructed. The formulation of algorithms is based on case study for inundated areas within Kuala Lumpur, Malaysia. Experiments were done on the VPS and the improved VPS algorithm. The improved VPS with prioritize vehicle capacity demonstrates better results compared to other algorithms. It is shown to be applicable for multiple source nodes and large number of evacuees.