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改进的Dijkstra最短路径算法及其应用研究 被引量:92

Improved Dijkstra Shortest Path Algorithm and its Application
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摘要 求最短路径是一个应用很广泛的问题。求最短路径的算法有很多,公认较好的算法是Dijkstra标号法。但实验结果表明,Dijkstra标号法有需要改进的地方:①其退出机制对不联通的有向图是无效的,会陷入死循环;②没有涉及最短路径上顶点的邻接点(特指前面的相邻点)问题;③没有涉及多个顶点同时获得p标号的问题。针对上述问题,对标号法进行了改进。算法实验表明,改进的标号法能够有效解决上述问题。在上述工作的基础上,开发了"北京市道路最优路线选择系统",以提供起点和终点之间的最优路线,帮助用户选择出行路线,使市民能够避过交通最拥堵的路段,节约出行时间。 The problem of "the shortest path" has wide application.There are many algorithms to solve this problem and the best one is "Dijkstra's label algorithm".But experiment results show that this algorithm needs to be improved:①The algorithm's exit mechanism is ineffective to non-unicom figure and will fall into an infinite loop;②The algorithm is not concerned in the problem of previous adjacent vertices in shortest path;③The algorithm is not concerned in the problem that more vertices obtain the "p-label" at the same time.This paper improved the "Dijkstra's label algorithm".Experiment results indicate that the improved algorithm can solve above problems effectively.On the basis of the above work,we developed the "Beijing Road optimal route selection system",which help users to select the shorted route,so that people can avoid the most congested road traffic and save time.
出处 《计算机科学》 CSCD 北大核心 2012年第5期223-228,共6页 Computer Science
基金 "对外经济贸易大学学术创新团队项目"和"对外经济贸易大学‘211工程’三期建设项目"资助
关键词 最短路径 Dijkstra标号法 城市交通 最优路线选择 Shortest path Dijkstra's labeled algorithm Urban transport Optimal route selection
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  • 1杨东华,李建中,张文平.基于数据网格环境的连接操作算法[J].计算机研究与发展,2004,41(10):1848-1855. 被引量:8
  • 2林澜,闫春钢,辛肖刚,蒋昌俊.基于稳定分支的变权网络最优路径算法[J].电子学报,2006,34(7):1222-1225. 被引量:10
  • 3陈继东,胡志智,孟小峰,王凌.一种基于城市交通网络的移动对象全时态索引[J].计算机研究与发展,2007,44(6):1008-1014. 被引量:8
  • 4卢开澄 卢华明.图论及其应用(第二版)[M].北京:清华大学出版社,1998.66-69.
  • 5Wolfson Q Moving Objects Information Management:The Database Challenge[C]//Proceedings of the 5th International Workshop on Next Generation Information Technologies and Systems.London,2002.
  • 6Papadias D,Zhang J,Mamoulis N,et al.Query Processing in Spatial Network Databases[C]//Proc;of 29th Intl.Conf.onVery Large Data Baseg Berlin,Germany,2003.
  • 7Kolahdouzan M R,Shahabi C.Voronoi-Based K Nearest Neighbor Search for Spatial Network Databases[C]//Proc.of 30th Intl.Conf.on Very Large Data Bases.Toronto,Canada,2004.
  • 8Cho H-J,Chong C-W.An efficient and scalable approach to CNN Queries in a road network[C]//Proc,of 31th Intl.Conf.on Very Large Data Bases.Trondheim,Norway,2005.
  • 9Saltenis S,Jensen C S,et al.Indexing the Positions of Continuously Moving Objects[C]//Proc.of the 19th SIGMOD Intl.Conf.on Management of Data.Dallas,Texas,USA,2000.
  • 10Mokbel M F,Xiong Xiaopeng,Aref W G.SINA:Scalable Incremental Processing of Continuous Queries in Spatiotemporal Datahases[C]//Proc,of the 23rd SIGMOD Intl.Conf.on Management of Data.Paris,France,2004.

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