Critical Review of Time-Dependent Shortest Path Algorithms: A Multimodal Trip Planner Perspective

B. Casey, A. Bhaskar, H. Guo, Edward Chin Shin Chung

Research output: Journal article publicationJournal articleAcademic researchpeer-review

19 Citations (Scopus)


A multimodal trip planner that produces optimal journeys involving both public transport and private vehicle legs has to solve a number of shortest path problems, both on the road network and the public transport network. The algorithms that are used to solve these shortest path problems have been researched since the late 1950s. However, in order to provide accurate journey plans that can be trusted by the user, the variability of travel times caused by traffic congestion must be taken into consideration. This requires the use of more sophisticated time-dependent shortest path algorithms, which have only been researched in depth over the last two decades, from the mid-1990s. This paper will review and compare nine algorithms that have been proposed in the literature, discussing the advantages and disadvantages of each algorithm on the basis of five important criteria that must be considered when choosing one or more of them to implement in a multimodal trip planner. © 2014 © 2014 Taylor & Francis.
Original languageEnglish
Pages (from-to)522-539
Number of pages18
JournalTransport Reviews
Issue number4
Publication statusPublished - 1 Jan 2014
Externally publishedYes


  • dynamic
  • multimodal
  • planning
  • shortest path algorithms
  • time-dependent
  • trip

ASJC Scopus subject areas

  • Transportation


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