Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 8
2342-2348

Efficient index for route planning in public transportation network

Ma Hui1
Tang Yong2
Liang Ruishi1
1. School of Computer, Zhongshan Institute, University of Electronic Science & Technology of China, Zhongshan Guangdong 528400, China
2. School of Computer, South Normal University, Guangzhou 510631, China
DOI: 10.19734/j.issn.1001-3695.2018.02.0088

Abstract

TTL is a highly efficient indexing structure for finding an earliest arrival path, or a latest departure path, or a shortest duration path in public transportation networks. TTL uses Time-dependent algorithm as its core algorithm to build index, and is therefore, results in two deficiencies. Firstly, it needed relatively expensive priority queue operations. Secondly, it would generate paths with more transfers. This paper proposed a new indexing structure, TAIL, which used a trip-based method to build index. TTL pre-computed some canonical paths. A query could be answered by matching up the canonical paths, which avoided traversing the entire network. Instead of the graph structure, TAIL used trip array as its input, and generated paths by scanning trips. Initially, TAIL scanned trips starting from the source stop, from which TAIL obtained direct reachable stops. After that, TAIL scanned trips starting from the direct reachable stops, from which TAIL obtained reachable stops within one transfer. Generally, TAIL discovered new reachable stops from scanning the trips starting at the already discovered reachable stops. In order to obtain the earliest arrival paths in the early stage, so as to reduce the number of trip scanning, TAIL did not scan the stops strictly in increasing order of their transfer times. In this way, TAIL avoids valuable priority queue operations, while preserves the entity of a trip. Experiments on real datasets shows that, compared to TTL, TAIL has lower index construction time and its generated path has fewer transfer times.

Foundation Support

国家自然科学基金资助项目(61772211)
广东省高等学校优秀青年教师项目(YQ2015241,YQ2015242)
广东省青年创新人才类项目(2015KQNCX206)
中山市科技计划项目(2015B2307,2016B2158)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.02.0088
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 8
Section: Algorithm Research & Explore
Pages: 2342-2348
Serial Number: 1001-3695(2019)08-021-2342-07

Publish History

[2019-08-05] Printed Article

Cite This Article

马慧, 汤庸, 梁瑞仕. 公交网络路径规划问题中的一种高效索引方法 [J]. 计算机应用研究, 2019, 36 (8): 2342-2348. (Ma Hui, Tang Yong, Liang Ruishi. Efficient index for route planning in public transportation network [J]. Application Research of Computers, 2019, 36 (8): 2342-2348. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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