期刊文献+

模拟导弹制导的时间最短路径算法 被引量:2

Least-time Path Algorithm Based on Missile Guidance
下载PDF
导出
摘要 应用模拟导弹制导的方法,提出了一种考虑系统优化的单车实时动态路径算法.算法以单车时间最短为目标,通过使车辆避开拥堵,达到单车路径规划利于系统优化的目标.算法首先进行初步路径规划,即求解利于车流量平衡的理想路径生成点;然后,进行理想路径规划;最后,根据理想路径得出实际路径规划.在出行全程中,算法进行循环滚动的实时动态路径规划,同时根据交通状态数据实时修正未通行路段的路径规划.通过交通网数据动态模型和模拟导弹制导的算法仿真,结果表明,该算法能有效地解决车辆避开拥堵、节约出行时间,同时利于车流量平衡和系统优化. A dynamic and real-time single-vehicle path algorithm considering system optimization is proposed by the method of simulating missile guidance. Targeted at minimizing the run-time of a single vehicle, the algorithm plans a path for the vehicle to avoid traffic congestion and help optimize the overall traffic state. This algorithm begins with preliminary path planning to find the points from which ideal paths that help balance the vehicle traffic flow can be generated. Then the algorithm plans for the ideal paths before the actual path is derived from the ideal ones. Throughout the driving process, the algorithm dynamically and cyclically plans the path in real-time, and dynamically revises the plan of the path covering the sections ahead based on the traffic state . Simulation showed that the proposed algorithm effectively enables vehicles to avoid congestion and save travel time, and helps balance the vehicle traffic flow and optimize the traffic state.
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2013年第6期94-100,共7页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金(50908101)
关键词 交通工程 路径算法 模拟导弹制导 系统优化 理想路径 traffic engineering path algorithm simulating missile guidance system optimization ideal path
  • 相关文献

参考文献17

  • 1Dijkstra E. A note on two problems with graphs[J].{H}NUMERISCHE MATHEMATIK,1959,(01):269-271.
  • 2Zhan F B,Noon C E. Shortest path algorithms:an evaluation using real road networks[J].{H}Transportation Science,1998,(01):65-73.
  • 3Hart P,Nilsson N,Raphael B. A formal basis for the heuristic determination of minimum cost paths[J].IEEE Trans Syst Science and Cybernetics,1968,(02):100-107.
  • 4Brinkho T. A framework for generating network-based moving objects[J].Geolnformatica,2002,(02):153-180.
  • 5Malandraki C,Daskin M S. Time dependent vehicle routing problems:for-mulations,properties and heuristic algorithms[J].{H}Transportation Science,1992,(03):185-200.
  • 6Donati A V,Montemanni R,Casagrande N. Time dependent vehicle routing problem with a multi ant colony system[J].{H}European Journal of Operational Research,2008,(03):1174-1191.doi:10.1016/j.ejor.2006.06.047.
  • 7Donati A V,Montemanni R,Casagrande N. Time dependent vehicle routing problem with a multi ant colony system[J].{H}European Journal of Operational Research,2008,(03):1174-1191.doi:10.1016/j.ejor.2006.06.047.
  • 8Tavakkoli-Moghaddam R,Gazanfari M,Alinaghian M. A new mathematical model for a competitive vehicle routing problem with time windows solved by simulated annealing[J].{H}JOURNAL OF MANUFACTURING SYSTEMS,2011,(02):83-92.
  • 9龚,李苏剑,刘启生.驾驶员分类的路径诱导系统及评价指标[J].武汉理工大学学报,2013,35(1):75-81. 被引量:6
  • 10Ma J,Fukuda D,Schm?cker J D. Faster hyperpath generating algorithms for vehicle navigation[J].Transportmetrica,2012.1-24.

二级参考文献19

  • 1王进,史其信.短时交通流预测模型综述[J].中国公共安全(学术版),2005(1):92-98. 被引量:59
  • 2林勇,李建新,刘学军.实时交通信息估计与预测系统在美国的发展概况[J].交通运输系统工程与信息,2006,6(3):34-40. 被引量:7
  • 3Laporte G.What you should know about the VRP[J].Naval Research Logistics,2007,54(8):811-819.
  • 4彭昕,戚铭尧,缪立新.节约法用于车辆路径问题的综述和分析[C] //中国物流学术前沿报告(2008-2009).北京:中国物资出版社,2008:399-408.
  • 5QI M Y,MIAO L X.A new tabu search heuristic algorithm for the vehicle routing problem with time windows[C] // Proceedings of 2008 International Conference on Management Science & Engineering 15th Annual Conference.Long Beach,USA:IEEE Press,2008:1648-1653.
  • 6Fisher M L,Jaikumar R.A generalized assignment heuristic for vehicle routing[J].Networks,1981,11(2):109-124.
  • 7Solomon M.Algorithms for the vehicle routing and scheduling problems with time window constraints[J].Operations Research,1987,35:254-265.
  • 8Glover F.Tabu search-part I[J].ORSA Journal on Computing,1989,1(3):190-206.
  • 9Glover F.Tabu search-part II[J].ORSA Journal on Computing,1990,2(1):4-32.
  • 10隋亚刚,陆化普,李瑞敏,等.北京市道路交通流仿真及预测预报系统研究[C].2008第四届中国智能交通年会.青岛,2008:580-586.

共引文献19

同被引文献11

  • 1BAUZA R, GOZALVEZ J. Traffic congestion detection in large-scale scenarios using vehicle-to-vehicle communications[J]. Journal of Network and Computer Applications, 2013, 36(5): 1295-1307.
  • 2ZHU S J, DU L Y, ZHANG L. Rationing and pricing strategies for congestion mitigation: Behavioral theory, econometric model, and application in Beijing[J].Transportation Research Part B: Methodological, 2013(57): 210-224.
  • 3KOUTSOPOULOS H N, FARAH H. Latent class model for car following behavior[J]. Transportation Research Part B: Methodological, 2012, 46(5): 563-578.
  • 4WU X K, LIU H X. A shockwave profile model for traffic flow on congested urban arterials[J]. Transportation Research Part B: Methodological, 2011, 45(10): 1768-1786.
  • 5ZHAN F B, NOON C E. Shortest path algorithms: an evaluation using real road networks[J]. Transportation Science, 1998, 31(1) : 65-73.
  • 6VIDAL T, CRAINIC T G, GENDREAU M, et al. A hybrid genetic algorithm with adaptive diversity management for a large class of vehicle routing problems with time-windows[J]. Computers &Operations Research, 2013, 40(1):475-489.
  • 7安实,崔娜,王健,谢秉磊.基于多智能体协商的路径选择行为仿真研究[J].系统仿真学报,2010,22(8):1890-1894. 被引量:3
  • 8龚,李苏剑.基于CPS理论的城市交通控制与诱导融合框架[J].公路交通科技,2012,29(5):114-120. 被引量:12
  • 9龚,李苏剑,刘启生.驾驶员分类的路径诱导系统及评价指标[J].武汉理工大学学报,2013,35(1):75-81. 被引量:6
  • 10马超,崔建勋.基于多智能体的多应急车辆信号优先控制研究[J].交通运输系统工程与信息,2013,13(1):57-62. 被引量:6

引证文献2

二级引证文献1

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