Abstract
The computer-aided system of the logistics distribution is presented in this paper based on the characteristics of logistics distribution system in urban rail transit. In view of construction costs, maintenance costs and distribution costs, the optimal site of the central materials storage is studied by using the bee colony algorithm. And the optimal distribution routing is studied by using the ant colony algorithm, this approach uses network to get the real-time dynamic information of vehicle, integrating real-time dynamic information of roads, and then form the optimal distribution scheme.
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References
Wang, L.-X.: Research and Design of Intelligent Warehouse Logistics System Based on IOT. Logistics Technology (8), 55–56 (2012)
Chen, F.Z., Jiang, D.H.: Design and Implementation on the Intelligent Logistics Delivery System Based on Internet of Things. Microelectronics & Computer (8), 19–21 (2011)
Zhang, K.: Theoptimizational study of the central materials storage in Wuhan rail transit network. Modern Urban Transit 3, 90–93 (2011)
Duan, H.B.: Ant Colony algorithms: Theory And Applications. Science Press (2011)
Lei, S.: Research in Ant Colony Algorithm and its Applications on Network Routing. Jilin University (2010)
Xing, W.: The Research of Book Logistics Vehicle Routing Problem Based on Ant Colony Algorithm. Wuhan University of Technology 5 (2011)
Tang, X.-H.: Research of MDVRP on MMAS. Henan University of Technology 6 (2010)
Li, Z.-C.: Design and Implementation of the Internet of Things in Intelligent Warehouse Management. Computer Systems & Applications 20(7), 11–15 (2011)
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© 2014 Springer International Publishing Switzerland
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Zhang, K., Dingfang, C. (2014). Research on the Computer-Aided System of the Logistics Distribution in the Urban Rail Transit. In: Zu, Q., Vargas-Vera, M., Hu, B. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2013. Lecture Notes in Computer Science, vol 8351. Springer, Cham. https://doi.org/10.1007/978-3-319-09265-2_76
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DOI: https://doi.org/10.1007/978-3-319-09265-2_76
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-09264-5
Online ISBN: 978-3-319-09265-2
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