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中国管理科学 ›› 2018, Vol. 26 ›› Issue (7): 151-158.doi: 10.16381/j.cnki.issn1003-207x.2018.07.016

• 论文 • 上一篇    下一篇

突发性片堵塞下两车信息共享的加拿大旅行者问题

苏兵, 林刚, 程新峰, 孙璐璐   

  1. 西安工业大学经济管理学院, 陕西 西安 710032
  • 收稿日期:2016-08-08 修回日期:2018-01-18 出版日期:2018-07-20 发布日期:2018-09-20
  • 通讯作者: 孙璐璐(1990-),女(汉族),陕西西安人,西安工业大学经济管理学院,研究实习员,研究方向:物流管理与决策,E-mail:pazzainter6740@126.com. E-mail:pazzainter6740@126.com
  • 基金资助:

    国家社会科学基金资助项目(13BGL156);陕西高校人文社会科学青年英才支持计划项目;教育部人文社科资助项目(大数据下的城市动态交通流分配策略研究);陕西省科技厅资助项目(2018SF-399)

Regional Blockage Canadian Traveler Problem under Two Vehicles Information Sharing

SU Bing, LIN Gang, CHENG Xin-feng, SUN Lu-lu   

  1. School of Economics and Management, Xi'an Technological University, Xi'an 710021, China
  • Received:2016-08-08 Revised:2018-01-18 Online:2018-07-20 Published:2018-09-20

摘要: 提出突发性片堵塞下两车信息共享的加拿大旅行者问题,即两车欲从起点出发去终点,在运输过程中会遭遇突发性片堵塞,若两车对堵塞信息都能有限预知且车辆间可以信息共享,如何制定路径选择策略使两车花费的总时间尽可能少。针对该问题,采用在线问题与竞争策略的理论和方法,建立突发性片堵塞下两车信息共享的在线路径选择模型,设计混合贪婪策略,结合片堵塞中多条路段同时发生堵塞的特点,以及所选路径是否经过信息预知点到片堵塞起始点的路段(预知路段)等策略不同情形的分析,证明混合贪婪策略竞争比。最后进行实例分析,验证模型和策略的有效性。

关键词: 信息有限预知, 片堵塞, 两车信息共享, 加拿大旅行者问题

Abstract: The Canadian Traveler Problem has been introduced in Papadimitriou and Yannakakis, in which the vehicles know in advance the structure of the graph and the costs of all edges. However, some edges may fail and vehicles only observe that upon reaching an adjacent vertex of the blocked edge. The goal is to find the least-cost route from the source O to the destination D, more precisely, to find an adaptive strategy minimizing the competitive ratio by comparing the performance of this strategy with that of a hypothetical offline algorithm that knows the entire topologyin advance. Previous researches suppose that a vehicle sees that only one edge is blocked in each blockage, but the regional blockages often occur in a traffic network which is composed of multiple blockededges.In this paper, the regional blockage Canadian traveler problem of two vehicles information sharing is proposed, in which two vehicles can get the regional blockage information with finite lookaheadand share information each other. The goal is to find the least total travel time for two vehicles from the source O to the destination D.From the online point of view, an adaptive strategy——mixed greedy strategy is presented and the competitive ratio for the strategy is proved. An application of mixed greedy strategy for two vehicles in a traffic network is shown. The research results of this paper can provide effective theoretical basis for the multiple vehicles real-time routing problem and traffic flow guidance by traffic management department.

Key words: finite lookahead, regional blockage, information sharing, the Canadian Traveler Problem

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