Vehicle routing and scheduling for bushfire emergency evacuation

Shahparvari, S, Abbasi, B, Chhetri, P and Abareshi, A 2015, 'Vehicle routing and scheduling for bushfire emergency evacuation', in Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015), Singapore, 6-9 December 2015, pp. 696-700.


Document type: Conference Paper
Collection: Conference Papers

Title Vehicle routing and scheduling for bushfire emergency evacuation
Author(s) Shahparvari, S
Abbasi, B
Chhetri, P
Abareshi, A
Year 2015
Conference name Industrial Engineering and Engineering Management (IEEM)
Conference location Singapore
Conference dates 6-9 December 2015
Proceedings title Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2015)
Publisher IEEE
Place of publication United States
Start page 696
End page 700
Total pages 5
Abstract Quick response to evacuate residents within a short-notice in bushfire situation is vital, which can save lives. This translates to make a decision on selecting shelters, assigning the vehicles, finding the optimal routes, and schedules for evacuation. This study proposes a model as a decision support system that can determine the required vehicles their schedule and routes to evacuate late evacuees within the given time windows and fire propagation scenarios. Our model also considers roads availabilities and disruptions. A heuristic solution method is developed to cope with the complex nature of the Vehicle Routing Problem (VRP) based problems. To evaluate the effectiveness of the proposed model, a real case study from Australia is presented.
Subjects Logistics and Supply Chain Management
Road Transportation and Freight Services
Keyword(s) Bushfire
Optimisation
Vehicle Routing Problem
Time window
DOI - identifier 10.1109/IEEM.2015.7385737
Copyright notice © 2015 IEEE.
ISBN 9781467380676
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 29 Abstract Views  -  Detailed Statistics
Created: Wed, 19 Sep 2018, 13:35:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us