Title :
d-Cover algorithm for location in urban emergency systems
Author :
Zhao, Yan-Chao ; Long, Xiao-Ju ; Xiao-Lin Xu ; Zhou, Bin
Author_Institution :
Northeast Pet. Univ., Daqing, China
Abstract :
This paper approached a cover algorithm for location problem in the optimization of emergency system. With the considering of requirements, emergency response time and total system cost, a distribution of the dispatch points can be obtained by the algorithm. The demands region/points can be covered by the circles with radius d and everyone takes a dispatch point as center. Contributes to the well property of Gaussian convolution, the local demands level can be obtained and the distribution based on covers and sorted demands is more efficient. Numerical examples show that the proposed algorithm can solve the location problem in the optimization of emergency systems.
Keywords :
Gaussian processes; emergency services; town and country planning; Gaussian convolution; cover algorithm; emergency response time; location problem; urban emergency systems optimization; Biomedical imaging;
Conference_Titel :
Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-7387-8
DOI :
10.1109/ESIAT.2010.5567364