NDLI: Emergency vehicle location model and algorithm under uncertainty

Content Provider	IEEE Xplore Digital Library
Author	Qing Ye Jianshe Song Zhenglei Yang Lianfeng Wang
Copyright Year	2011
Description	Author affiliation: Xi'an Research Inst. Of Hi-Tech, Shaanxi, China (Qing Ye; Jianshe Song; Zhenglei Yang; Lianfeng Wang)
Abstract	Uncertainty is an important feature in the emergency incident management. The emergency event may happen at anytime and anyplace. Based on Laplace criterion, it is supposed that the probabilities of emergency events occurring at any point of the way are the same. Emergency vehicles deal with the emergency events through the road network. Emergency vehicle location models aiming to a maximum coverage of the target, and demand at any point in the road network are established. According to the characteristics of the design model, the integration of genetic algorithm and tabu search for solving the problem is improved. Finally, a numerical example illustrates the affectivity of the model and algorithm, which can be used in the location of the ambulance and police wagon.
Starting Page	1
Ending Page	4
File Size	193979
Page Count	4
File Format	PDF
ISBN	9781424496655
e-ISBN	9781424496662
DOI	10.1109/ICEMMS.2011.6015604
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Network location Uncertainty Roads Emergency systems Search problems General absolute center Numerical models Vehicles Genetic algorithms
Content Type	Text
Resource Type	Article

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