DocumentCode
2725943
Title
Study of Logistics Vehicle Routing Problem Based on GIS
Author
Chen, Mei ; Fu, Yu-chen ; Ge, Juan ; Zhou, Xiao-ke ; Cui, Zhi-ming
Author_Institution
Soochow Univ., Suzhou
fYear
2007
fDate
2-3 Dec. 2007
Firstpage
129
Lastpage
132
Abstract
VRP(vehicle routing problem) is the core of logistics distribution and logistics distribution is also a kind of spatial activities. GIS is an expert to process spatial database. In order to reduce the cost of logistics distribution, to combine the VRP model to GIS by analyzing the VRP model. First to apply spatial clustering to divide customer nodes into several parts according to region density of customer nodes, then to apply Ant Colony Algorithm to optimize the routing in each part. It improves the efficiency of logistics distribution and get a better solution of VRP.
Keywords
geographic information systems; logistics; optimisation; transportation; vehicles; GIS; ant colony algorithm; customer nodes; logistics distribution; logistics vehicle routing problem; Costs; Data processing; Geographic Information Systems; Information analysis; Information technology; Intelligent vehicles; Logistics; Mathematical model; Mathematics; Routing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, Workshop on
Conference_Location
Zhang Jiajie
Print_ISBN
978-0-7695-3063-5
Type
conf
DOI
10.1109/IITA.2007.35
Filename
4426981
Link To Document