DocumentCode :
2221833
Title :
An improved shortest route algorithm in Vehicle Navigation System
Author :
Gao Yang
Author_Institution :
Coll. of Geol. Eng. & Geomatics, Chang´an Univ., Xi´an, China
Volume :
2
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
As a basic function of Vehicle Navigation System, the shortest route algorithm has been a research hotspot in vehicle navigation field. Because of real time requirement of the practical system, it is necessary to optimize Dijkstra algorithm - a typical single-source shortest route algorithm. Based on the analysis of the temporal complicacy and spatial complicacy of Dijkstra algorithm, this paper presents a novel improved Dijkstra algorithm, which can run much more efficiently compared with original algorithm. Firstly, the paper adopts the adjacency list as store structure of topology of road network, and reduces the memory requirements of the algorithm and increases the search speed of the adjacent node. Secondly, binary heap is used to implement the operation of priority queue, which successfully improves efficiency of searching the minimum cost node. Thirdly, search course is divided several phrases according to the special spatial distribution of nodes which have been generated but not extended. A search mechanism of dynamic restricting the search area in stages is introduced, which can gradually reduce search area and greatly decrease the search data volume of the algorithm. Finally, the tests in real road network prove that the modified algorithm is workable and time-saving.
Keywords :
navigation; road vehicles; search problems; transportation; Dijkstra algorithm; binary heap; data volume search; memory requirement reduction; priority queue; road network; search course; search speed; single source shortest route algorithm; spatial complicacy; spatial distribution; temporal complicacy; vehicle navigation system; Topology; Vehicle dynamics; Dijkstra; minimum cost node; road network; shortest route algorithm; vehicle navigation system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579284
Filename :
5579284
Link To Document :
بازگشت