期刊文献+

综合客运枢纽集散控制策略分析 被引量:2

Research on Distribution Control Strategy of Comprehensive Passenger Hub
原文传递
导出
摘要 差异化控制策略设计可以有效提高综合客运枢纽集散服务网络的运作效率,体现"以人为本"的综合交通服务理念,决定城市综合交通网络效能的发挥。以集散服务网络为研究对象,依据枢纽特征聚合态所处阶段是否为常态,利用Stackelberg博弈建立双层规划控制策略模型,并用遗传算法对模型进行求解。通过研究枢纽特征聚合态的差异化,构建模型和算法设计,为高性能集散服务网络的设计与实现提供了一种思路。 The passenger mustering and evacuation efficiency of comprehensive passenger transportation hub(CPTH) determined the play of efficiency of urban comprehensive transportation network. Establishing differentiated control strategy of service network could improve the operational efficiency effectively and reflected the comprehensive traffic service ideology of people-oriented. Taking distribution service network as research object, the Bi-level Programming model of control strategy is established by adopting Stackelberg game theory which is based on the normal stage of polymerization state of Hub features or otherwise. Genetic algorithms were used to solve this model. Model construction and the algorithm design are finished through the division based on the differentiation of control strategy. An idea is provided for the design and realization of high performance distribution service network.
作者 员丽芬 秦勇
机构地区 北京交通大学
出处 《综合运输》 2015年第2期69-75,共7页 China Transportation Review
基金 国家高技术研究发展计划(863计划)(2012AA112403) 国家自然科学基金(71171015)
关键词 综合客运枢纽 STACKELBERG博弈 差异化控制策略 双层规划 CPTH Stackelberg game theory differentiated control strategy Bi-level Programming
  • 相关文献

参考文献11

  • 1YANG H.,Bell M.G.H.MENG Q.Modeling the capacity and level of service of urban transportation networks[J].Transportation Research Part B,2000,34(4):255-275.
  • 2Perk V.A.,Foreman C.Florida metropolitan planning organization reports on transit capacity and quality of service:first-year evaluation[J].Transportation Research Record,2003,1841(l):128-134.
  • 3de Barros A.G.,Wirasinghe S.C.Optimal terminal configurations for new large aircraft operations[J].Transportation Research Part A,2003,37(4):315-331.
  • 4LIN Y.D.,Trani.A.A.Airport automated people mover systems:analysis with a hybrid computer simulation model[J].Transportation Research Record,2000,1703(1):45-57.
  • 5Kuo M.S.,Liang G.S.Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment[J].Expert Systems with Applications,2011,38(3):1304-1312.
  • 6Dirk H.,Molnar P.,Farkas I.J.,Bolay K.Self-organizing pedestrian movement[J].Environment and Planning B:Planning and Design,2001,28:361-383.
  • 7Helbing D.Collective phenomena and states in traffic and self-driven many-particle systelms[J].Computational Materials Science,2004,30(1-2):180-187.
  • 8Helbing D.,Buzna Lubos,Johansson A.,Werner T.Self-organized pedestrian crowd dynamics:experiments,salutations,and design solutions[J].Transportation Science,2005,39(l):l-24.
  • 9YAN S.,TANG C.H.,Chen M.A model and a solution algorithm for airport common use check-in counter assignments[J].Transportation Research Part A,2004,38(2):101-125.
  • 10Stolletz R.Operational workforce planning for check-in counters at airports[J].Transportation Research Part E,2010,46(3):414-425.

共引文献4

同被引文献14

引证文献2

二级引证文献2

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