Finding Shortest Path in Road Networks Based on Jam-Distance Graph and Dijkstra's Algorithm

被引:0
|
作者
Ali, Sarah Fouad [1 ]
Abdulrazzaq, Musaab Riyadh [1 ]
Gaata, Methaq Talib [1 ]
机构
[1] Mustansiriyah Univ, Dept Comp Sci, Baghdad, Iraq
来源
关键词
Road network; Traffic jam; Micro-cluster; Shortest path; Trajectory of vehicle;
D O I
10.1007/978-981-19-1412-6_40
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Finding the shortest path in the road networks is an urgent issue for the vehicle driver to reach their destination in the shortest time which leads to consuming less fuel. In this article, a framework has been suggested to direct vehicle drivers to their destination in a shortest time taking into account the actual distance and the traffic jam of the road network. The framework consists of three stages: data clustering stage, merging stage, and determining of shortest path stage. The experimental results illustrate that the proposed framework has similar accuracy (98%) to find a shortest path as compared with existing work; on the other hand, the running time of the RN-CMS was the shortest running time; it has been achieved (1.05 s) for 100 inquires.
引用
收藏
页码:469 / 480
页数:12
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