Title: Scheduling optimisation of urban emergency vehicle based on entropy method

Authors: Huafu Jiang

Addresses: The Third Branch of Shanghai Party Institute and Shanghai Administrative Institute, Shanghai 200233, China

Abstract: Ensuring urban security is an important public policy that the city government should provide, and efficient scheduling of emergency vehicles is an important measure to ensure urban security. This paper first combs the existing research literature, and expounds the main influencing factors of urban emergency vehicle scheduling and its problem characteristics. Then, an urban emergency vehicle scheduling model is constructed based on the entropy weight method, the timeliness, economy and safety are selected as key factors, and the improved path optimisation algorithm is employed to solve the model. Finally, an empirical analysis of emergency vehicle scheduling cases in the People's Square in S City is presented.

Keywords: urban security; urban emergency; vehicle scheduling; entropy weight method; decision-making simulation.

DOI: 10.1504/IJWMC.2017.085574

International Journal of Wireless and Mobile Computing, 2017 Vol.12 No.4, pp.349 - 357

Received: 15 Feb 2017
Accepted: 09 Mar 2017

Published online: 25 Jul 2017 *

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