@inproceedings{146d8fe66ef04348988a5d53b3ebd7e2,
title = "The stochastic emergency service vehicle re-routing problem",
abstract = "This paper considers the emergency service vehicle re-routing problem (ESVRP) under uncertainty. We develop a stochastic programming model for ESVRP, aiming at adjusting the original routing and scheduling plan to reposition ESVs when some ESVs in the fleet become temporarily unavailable in response to service calls. The purpose of the model is to optimize the system-wide performance throughout the planning horizon while treating both the service needs and the return times of {"}busy service vehicles{"} as random variables. A comparative analysis of different strategies in dealing with the busy ESVs is performed to assess the performance of the proposed model. The results indicate that our modelling approach is effective in handling uncertainty.",
keywords = "Emergency mobile facility, Multi-period re-routing, Stochastic programming",
author = "C. Lei and Lin, {W. H.} and L. Miao",
year = "2013",
language = "English (US)",
isbn = "9789881581426",
series = "Proceedings of the 18th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2013 - Travel Behaviour and Society",
publisher = "Hong Kong Society for Transportation Studies Limited",
pages = "625--632",
booktitle = "Proceedings of the 18th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2013 - Travel Behaviour and Society",
note = "18th International Conference of Hong Kong Society for Transportation Studies on Travel Behaviour and Society, HKSTS 2013 ; Conference date: 14-12-2013 Through 16-12-2013",
}