期刊文献+

容量限制条件下改进的地下快速路集散点选择模型 被引量:1

Improved Depot Choice Model of Underground Expressway in the Condition of Capacity Restraint
原文传递
导出
摘要 为了使地下快速路集散点选址满足需求点的要求,针对地下快速路集散点选择模型,考虑设施服务能力等条件的限制,进行了模型的改进。采用定性和定量分析相结合的方法,在以集散效率最大化为目标的集散点选择模型的约束条件中,加入了备选集散点容量限制的约束,对集散点选择模型进行了改进,通过一个算例对结果进行分析,并验证了改进后模型的可行性。研究结果表明:改进后的集散点选择模型能够求得最优解,获得的最优布置点分散,能够满足最大范围的需求并引导需求的空间转移。 In order to make urban underground expressway depot meet all needs, aimed at depot choice model of underground expressway, considering the limitation of the service capability, research on improved depot choice model was carried out. Based on quantity and quality analysis, capacity restraint was taken into account in the depot choice model of underground expressway for the purpose of maximizing the depot efficiency. An example was presented to illustrate the feasibility of the improved model. The results show that the improved model can get the optimal locating of passageways which are dispersible in the whole network, and the locations can meet the demands of the maximum zone and lead the demand to transfer in extended space.
出处 《中国公路学报》 EI CAS CSCD 北大核心 2012年第3期135-140,共6页 China Journal of Highway and Transport
基金 中央高校基本科研业务费专项资金项目(2009ZM0048)
关键词 交通工程 地下快速路 集散点选择模型 容量限制 traffic engineering underground expressway depot choice model capacity restraint
  • 相关文献

参考文献13

  • 1MCGARRY F J. Underground Tunnels for Transport Systems[J]. Proceedings of the IEEE, 1968,56(4): 535-544.
  • 2LIU H. Feasibility of Using Pneumatic Capsule Pipe lines in New York City for Underground Freight Transport[C]//GALLEHER J J, STIFT M T. Pro- ceedings of Pipelines 2004 International Conference on Pipeline Engineering and Construction:What's on the Horizon. Reston: ASCE, 2004 : 1-12.
  • 3STEIN D, SCHOESSER B. Cargo Cap transportation of Goods Through Underground Pipelines: Research Project in Germany[C]//NAJAFI M. Proceedings of the International Conference on Pipeline Engineering and Construction. Reston: ASCE, 2003 :1625-1634.
  • 4ZACHARIAS J. Modeling Pedestrian Dynamics in Montreal's Underground City[J]. Journal of Trans portation Engineering, 2000,126 ( 5 ) : 405-412.
  • 5JEYAPALAN J K. Installing and Operating Under ground Power Distribution by Sharing Existing Pipe- lines, Tunnels and Rights of Way [C]//VIPU- I.ANANDAN C, ORTEGA R. Pipelines 2005: Opti- mizing Pipeline Design, Operations, and Maintenance in Today's Economy. Reston: ASCE, 2005 : 26-41.
  • 6刘韵.城市地下快速道路建设动因分析[J].地下空间与工程学报,2006,2(B08):1293-1296. 被引量:27
  • 7袁文凯,崔扬,周欣荣.天津城市地下道路功能定位研究[J].城市,2007(8):62-64. 被引量:5
  • 8张天然,赵娅丽,刘艺,俞明健.地下道路功能定位及其在上海市的适用性分析[J].地下空间与工程学报,2007,3(3):406-410. 被引量:10
  • 9秦云,张天然,刘艺.地下道路出入口设计的相关研究[J].城市道桥与防洪,2006(4):160-161. 被引量:10
  • 10李素艳,杨东援,赵娅丽.地下道路出入口交通组织研究[J].地下空间与工程学报,2007,3(4):781-786. 被引量:17

二级参考文献32

共引文献48

同被引文献21

  • 1秦固.基于蚁群优化的多物流配送中心选址算法[J].系统工程理论与实践,2006,26(4):120-124. 被引量:86
  • 2李卫江,郭晓汾,张毅,龚延成.基于Matlab优化算法的物流中心选址[J].长安大学学报(自然科学版),2006,26(3):76-79. 被引量:18
  • 3秦进,史峰.物流设施选址问题的双层模拟退火算法[J].系统工程,2007,25(2):36-40. 被引量:35
  • 4KUO M S. Optimal location selection for an international dis tribution center by using a new hybrid method [J]. Expert Systems with Applications, 2011, 38(6): 7208-7221.
  • 5BATANOVIC V, PETROVIC D, PETROVIC R. Fuzzy logic based algorithms for maximum covering location problems[J].Information Sciences, 2009, 179(1/2): 120-129.
  • 6SUN Hui-jun, GAO Zi you, WU Jian-juan. A bi level programming model and solution algorithm for the location of logistics distribution eenters[J]. Applied Mathematical Modelling, 2008, 32(4): 610-616.
  • 7YANG Li-xing, JI Xiao-yu, GAO Zi-you, et al. Logistics distribution centers location problem and algorithm under fuzzy environment[J]. Journal of Computational and Applied Mathematics, 2007, 208(2): 303-315.
  • 8DORIGO M, GAMBARDELI.A L M. Ant colony system: a cooperative learning approach to traveling salesman problem[J]. IEEE Transactions on Evolutionary Computation, 1997, 1(1): 53-66.
  • 9MULLEN R J, MONEKOSSO D, BARMAN S, et al. A review of ant algorithms[J]. Expert Systems with Applications, 2009, 36(6): 9608-9617.
  • 10CHEN C H, TING C J. Combining Lagrangian heuristic and ant colony system to solve the single source capacitated facility location problem[J]. Transportation Research Part E: Logistics and Transportation Review, 2008, 44(6): 1099-1122.

引证文献1

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部