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Finding optimal route by two-criterion Fuzzy Floyd’s algorithm—case study Serbia

Author

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  • Dalibor Pešić

    (University of Belgrade)

  • Milica Šelmić

    (University of Belgrade)

  • Dragana Macura

    (University of Belgrade)

  • Miroslav Rosić

    (Road Traffic Safety Agency)

Abstract

Traditional optimal route selection procedures in traffic network usually take into account distance and/or travelling time between nodes. These two values are not always directly proportional, but they both influence travelling costs. Most of modern navigational systems dynamically check proposed route in certain time interval and correct it if necessary (congestion, road works, road accidents etc.). Provided route is, in most cases, compatible only with the traffic management requirements, but not necessarily with road safety conditions. In this paper we use the well-known method for finding the shortest paths between all pairs of nodes in transport network known as Floyd’s algorithm. In order to obtain the optimal solution while having two criteria simultaneously we propose integration of travelling time and a road safety parameter. Proposed methodology was tested on a real network which consists of 101 nodes in northern part of the Republic of Serbia.

Suggested Citation

  • Dalibor Pešić & Milica Šelmić & Dragana Macura & Miroslav Rosić, 2020. "Finding optimal route by two-criterion Fuzzy Floyd’s algorithm—case study Serbia," Operational Research, Springer, vol. 20(1), pages 119-138, March.
  • Handle: RePEc:spr:operea:v:20:y:2020:i:1:d:10.1007_s12351-017-0319-4
    DOI: 10.1007/s12351-017-0319-4
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    References listed on IDEAS

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    1. Srinivasan, Karthik K. & Prakash, A.A. & Seshadri, Ravi, 2014. "Finding most reliable paths on networks with correlated and shifted log–normal travel times," Transportation Research Part B: Methodological, Elsevier, vol. 66(C), pages 110-128.
    2. Ehrgott, Matthias & Wang, Judith Y.T. & Raith, Andrea & van Houtte, Chris, 2012. "A bi-objective cyclist route choice model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(4), pages 652-663.
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