交通管制时限条件下城市物流配送优化双层规划模型

doi:10.3969/j.issn.1002-0268.2014.12.023

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摘要 For the optimization of city logistics distribution under time restriction caused by traffic organization, a bi-level programming model considering the distribution cost, environment cost, and distribution time of enterprises is developed. The primary function of this upper-level model is to minimize the general cost of distribution enterprises and determine the scheme to optimize city logistics distribution. The lower-level model is the urban traffic equilibrium distribution model for analyzing the distribution route determined by choice behavior for the optimization scheme of city logistics distribution given by the upper-level model. Results indicate that the distribution time, distribution cost, and environment cost of distribution enterprises increased significantly, and that the income of distribution enterprises was reduced because of the traffic organization time window in the process of city logistics distribution. When a distribution task was required to be completed within the formulary time window, the distribution time increased from 5.91% to 7.32%, the distribution cost increased from 7.6% to 13.5%, and the environment cost increased slightly. During the traffic organization period, the distribution cost in the second time-restricted scene increased to 26.85% because of the two-fold impacts of the average freight charge and the traffic demand. When the change in network traffic demand was equal to the basic scene, the environment cost and the distribution time in the first time-restricted scene increased slightly. However, when comparing the restriction time under traffic organization and the total distribution time, the incremental quantities of the former distribution time and distribution cost were always more than the latter.

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	戢晓峰
	普永明
	梁斐雯
	覃文文

关键词 ： transport economics, urban logistics distribution optimization, bi-level programming, traffic organization, genetic algorithm

Abstract：For the optimization of city logistics distribution under time restriction caused by traffic organization, a bi-level programming model considering the distribution cost, environment cost, and distribution time of enterprises is developed. The primary function of this upper-level model is to minimize the general cost of distribution enterprises and determine the scheme to optimize city logistics distribution. The lower-level model is the urban traffic equilibrium distribution model for analyzing the distribution route determined by choice behavior for the optimization scheme of city logistics distribution given by the upper-level model. Results indicate that the distribution time, distribution cost, and environment cost of distribution enterprises increased significantly, and that the income of distribution enterprises was reduced because of the traffic organization time window in the process of city logistics distribution. When a distribution task was required to be completed within the formulary time window, the distribution time increased from 5.91% to 7.32%, the distribution cost increased from 7.6% to 13.5%, and the environment cost increased slightly. During the traffic organization period, the distribution cost in the second time-restricted scene increased to 26.85% because of the two-fold impacts of the average freight charge and the traffic demand. When the change in network traffic demand was equal to the basic scene, the environment cost and the distribution time in the first time-restricted scene increased slightly. However, when comparing the restriction time under traffic organization and the total distribution time, the incremental quantities of the former distribution time and distribution cost were always more than the latter.

Key words： transport economics urban logistics distribution optimization bi-level programming traffic organization genetic algorithm

收稿日期: 2014-04-17

基金资助:Supported by the National Natural Science Foundation of China (No.61263025); the Planning of Philosophy and Social Sciences Thematic Project of Yunnan Province (No.YB2013124); and the Yunnan Institute of Food Safety Research Project (No.20BSY06)

通讯作者: JI Xiao-feng, E-mail:yiluxinshi@sina.com E-mail: yiluxinshi@sina.com

引用本文:

戢晓峰, 普永明, 梁斐雯, 覃文文. 交通管制时限条件下城市物流配送优化双层规划模型[J]. Journal of Highway and Transportation Research and Development, 2015, 9(3): 94-101.
JI Xiao-feng, PU Yong-ming, LIANG Fei-wen, QIN Wen-wen. Bi-level Programming Model for City Logistics Distribution Optimization under Time Restriction Caused by Traffic Organization. Journal of Highway and Transportation Research and Development, 2015, 9(3): 94-101.

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[1] DENG Ai-min, WANG Shao-mei, WANG Li-jun. City Logistics Distribution System Optimization Research[J]. Journal of Wuhan University of Technology:Transportation Science & Engineering, 2006, 30(3):481-484. (in Chinese)
[2] LI Zuo-qiu, WANG Guo-lin. Study on A Heuristic Arithme-tic for Vehicle Scheduling Problem of Non-full Loads with Time Windows[J]. Journal of Highway and Transportation Research and Development, 2006, 23(7):147-153. (in Chinese)
[3] JI Xiao-feng, QIN Wen-wen, JIAO Xin-long, et al. Location Algorithm of Mobile Warehouse in Express Demand Region with High Strength[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6):69-76. (in Chinese)
[4] JI Xiao-feng, CHEN Fang, QING Wen-wen, et al. High Intensity Express Demand Region Vehicle Scheduling Model under Time Restrains[J]. Journal of Wuhan University of Technology:Transportation Science & Engineering, 2013, 37(2):234-238. (in Chinese)
[5] JI Xiao-feng, WEI Xue-mei, DONG Jing-jing. A Research on Logistic Information Organization-A Mode Based on Information Search[J]. Journal of Kunming University of Science and Technology:Social Science Edition,2013, 13(1):69-74. (in Chinese)
[6] LUO Ya-ting, JI Xiao-feng, LIANG Fei-wen. Game Theory Analysis between Urban Logistics Distribution and Traffic Organization Scheme[C]//International Conference on Logistics Engineering and Management 2012. Virginia:The American Society of Civil Engineers, 2012:171-177.
[7] WEI Hang. An Approach for Time-varying Shortest Path Problem with Curfews[J]. Journal of Management Sciences in China, 2009,12(1):9-17. (in Chinese)
[8] LU Bing-yuan, WU Yi-sheng, CHENG Ba-yi. Multy-type Vehicle Scheduling Problem in City Distribution with Fuzzy Time Restraints[J]. Journal of Highway and Transportation Research and Development, 2011,28(11):152-158. (in Chinese)
[9] HU Yun-chao, SHEN Jin-sheng, HUANG Ai-ling. Multi-objective Optimization for City Distribution Under Urban Freight Restriction[J]. Journal of Transportation Systems Engineering and Information Technology, 2012,12(6):119-144. (in Chinese)
[10] LIU Qiang, LU Hua-pu, WANG Qing-yun. Tri-level Programming Model for Optimization of Regional Transportation Corridor Layou[J]. Journal of Tshinghua University:Science and Technology, 2010, 50(6):815-819. (in Chinese)
[11] CHEN Li, MA Guo-rong. Urban Road Network Optimization Model Based on Eco-transport Efficiency[J]. China Journal of Highway and Transport, 2009,22(5):100-104. (in Chinese)