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A Median-Based Misery Index for Travel Time Reliability
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0009-0007-0868-9868
Malmö universitet.
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3707-2780
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.ORCID iD: 0000-0003-3824-0942
2023 (English)In: Procedia Computer Science / [ed] Elhadi Shakshuki, Elsevier, 2023, Vol. 220, p. 162-169Conference paper, Published paper (Refereed)
Abstract [en]

Travel time reliability is vital for both road agencies and road users. Expected travel time reliability can be used by road agencies to assess the state of a transportation system, and by road users, to schedule their trips. Road network deficiencies, such as insufficient traffic flow capacity of a road segment or poor road design, have a negative impact on the reliability of travel times. Thus, to maintain robust and reliable travel times, the detection of road network deficiencies is vital. By continuously analyzing travel times and using appropriate travel time reliability measurements, it is possible to detect existing deficiencies or deficiencies that may eventually occur unless necessary actions are taken. In many cases, indices and measurements of travel time reliability are related to the distribution of the travel times, specifically the skewness and width of the distribution. The current paper introduces a median-based misery index for travel time reliability. The index is robust and handles travel times that follow a skewed distribution well. The index measures the relative difference between the slow travel speeds and the free-flow travel speed. The index is inspired by the median absolute deviation, and its primary application is to detect routes or road segments with potential road network deficiencies. To demonstrate the applicability of the index, we conducted an empirical case study using real travel speed data from the European route E4 in Sweden. The results from the empirical case study indicate that the index is capable of detecting road segments with slow travel speeds regardless of the travel speed distribution.

Place, publisher, year, edition, pages
Elsevier, 2023. Vol. 220, p. 162-169
Series
Procedia Computer Science, E-ISSN 1877-0509
Keywords [en]
Travel time reliability, travel speed index, travel speed
National Category
Transport Systems and Logistics
Research subject
Mathematics and applications
Identifiers
URN: urn:nbn:se:bth-24456DOI: 10.1016/j.procs.2023.03.023Scopus ID: 2-s2.0-85164538353OAI: oai:DiVA.org:bth-24456DiVA, id: diva2:1751936
Conference
14th International Conference on Ambient Systems, Networks and Technologies Networks, ANT 2023 and The 6th International Conference on Emerging Data and Industry 4.0, EDI40 2023, Leuven, 15 March through 17 March 2023
Funder
Swedish Transport AdministrationAvailable from: 2023-04-20 Created: 2023-04-20 Last updated: 2024-08-07Bibliographically approved

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Fredriksson, HenrikDahl, MattiasLövström, Benny

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