Volume 6 Number 6 (Jun. 2011)
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JSW 2011 Vol.6(6): 1103-1109
doi: 10.4304/jsw.6.6.1103-1109

Urban Delivery Distribution Routing Optimizing Key Technology Based on Web GIS

Yongchang Ren 1 , Tao Xing 2 , Haijun Song 3 , Xiaoji Chen 3

  • 1 Bohai University/College of Information Science and Technology, Jinzhou, China
  • 2 Beijing Research Center of Urban Systems Engineering, Beijing, China
  • 3 Xingtai 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.

Keywords

  • Web GIS
  • urban logistics
  • distribution r
jsw0606-19

How to Cite

Copied

Yongchang Ren, Tao Xing, Haijun Song, and Xiaoji Chen, "Urban Delivery Distribution Routing Optimizing Key Technology Based on Web GIS," Journal of Software, vol. 6, no. 6, pp. 1103-1109, 2011. https://doi.org/ 10.4304/jsw.6.6.1103-1109

Copyright & License

Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Biannually

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, CNKI, 

  • Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: editor@jsoftware.us

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