doi: 10.4304/jsw.6.6.1103-1109
Urban Delivery Distribution Routing Optimizing Key Technology Based on Web GIS
2Beijing Research Center of Urban Systems Engineering, Beijing, China
3Xingtai Polytechnic College/Department of Computer Science, Xingtai, China
Abstract—Development of information technology, can provide efficient, safe, convenient support platform to logistics and distribution companies, improve logistics and distribution of economic benefits. The problem of the lack of geographic information and the actual line with the calculation of line, distribution routing optimizing, the introduction of Web GIS, and research key technologies. First, given a graphical Web GIS which based on distribution routing optimizing; secondly, study distribution routing optimizing algorithm, including model representation and reverse dynamic programming algorithm; again, study spatial data representation and data structure, including vector and raster data structure; then, study the structure of Web application framework, in the description based on the MVC framework, Spring MVC framework focuses on the component structure; finally, realize the Web GIS technologies, including Java Applet major technical analysis and implementation techniques. The results show that Web GIS technology will be combined with optimization algorithm on the city line distribution routing optimizing, is technically feasible, has some theoretical and practical prospects, an important future research direction.
Index Terms—Web GIS, urban logistics, distribution routing optimizing, geographic information system, Optimizing Algorithm
Cite: Yongchang Ren, Tao Xing, Haijun Song, Xiaoji Chen, "Urban Delivery Distribution Routing Optimizing Key Technology Based on Web GIS," Journal of Software vol. 6, no. 6, pp. 1103-1109, 2011.
General Information
ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
Abstracting/ Indexing: DBLP, EBSCO,
CNKI, Google Scholar, ProQuest,
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