期刊文献+

预防拥挤漂移的带约束K则最优路径算法 被引量:3

Constrained K-shortest Paths Algorithm to Prevent the Congestion Shifting Problem
下载PDF
导出
摘要 为解决城市交通流诱导系统中存在的拥挤漂移问题,对拥挤漂移现象的形成机理和预防机制进行了深入的分析,并有针对性地提出了适用于导航用户的带约束K则最优路径算法.算法基于MapX控件编程实现,并采用VISSIM仿真软件进行了分析模拟验证.模拟效果表明:该算法有效地预防了拥挤漂移现象的发生,给出行者和整个交通系统带来效益. For a better solution of the congestion shifting problem in Urban Traffic Flow Guidance System (UTFGS),this paper analyzes the root causes of the congestion shifting problem and develops a constrained K-shortest paths algorithm suitable for the travelers.With the realization in the basis of MapX Control,the actual effect of this algorithm is tested with the micro simulation tool VISSIM.Conclusions could be drawn as follows,the constrained K-shortest paths algorithm can efficiently prevent the congestion shi...
出处 《北京工业大学学报》 EI CAS CSCD 北大核心 2009年第3期345-349,共5页 Journal of Beijing University of Technology
基金 863国家高技术研究发展计划(2007AA12Z242 2007AA11Z245)
关键词 交通运输系统工程 城市交通流诱导系统 K则最优路径 拥挤漂移 engineering of communication and transportation system urban traffic flow guidance system K-shortest paths congestion shifting
  • 相关文献

参考文献2

二级参考文献18

共引文献7

同被引文献26

  • 1于德新,杨兆升,高鹏.动态限制搜索区域的带约束K则最优路径算法[J].吉林大学学报(工学版),2009,39(S2):172-176. 被引量:5
  • 2耿彦斌,于雷,赵慧.ITS数据质量控制技术及应用研究[J].中国安全科学学报,2005,15(1):82-87. 被引量:22
  • 3马永锋,陆键,项乔君,魏连雨.基于出行决策的公路网多目标最优路径算法[J].交通运输工程学报,2007,7(3):100-105. 被引量:10
  • 4CLEGHORM D F, HALL F L, GRARBUIO D. Improved data screening techniques for freeway traffic management systems [ J]. Transportation Research Record, 1991, 1320 : 17-23.
  • 5TUROCHY R E, SMITH B L. New procedure for detector data screening in traffic management systems [ EB/OL ]. Washington D C: Transportation Research Board of the National Academies, 2000. http://trb, metapress, com/content/ v8 tm57200034u311/.
  • 6Lee C K. A multiple path routing strategy for vehicle route guidance systems[J]. Transportation Research, 1994, 2(3): 185-195.
  • 7Yen J Y. Finding the K shortest loopless paths in a network[J]. Management Science, 1971, 17(11): 716-721.
  • 8Lawler E. Combinatorial optimization: Networks and matroids[M]. New York: Courier Dover Publications, 1976: 92-104.
  • 9Pang K H, Cran T. Adaptive route selection for dynamic route guidance system based on fuzzy neural approaches[J]. IEEE Transactions on Vehicular Technology, 1999, 48(6): 2028-2041.
  • 10McAllister C D, Smpson T W, Kemper L, et al. Robust multiobjective optimization through collaborative optimization and linear physical programming[C]//10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Albany, New York, 2004:1 16.

引证文献3

二级引证文献21

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