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OD Matrix Estimation Using Smart Card Transactions Data and Its Usage for the Tariff Zones Determination in the Public Transport

In: Operations Research Proceedings 2015

Author

Listed:
  • Michal Koháni

    (University of Žilina)

Abstract

OD matrix is an important input parameter for a large number of optimization problems especially in the public transportation. Traditional approaches of obtaining OD matrix, such as surveys, could not enable us to obtain comprehensive and complex data on passengers and their journeys. In cases where passengers in transportation use smart cards, we can obtain more accurate data about the passengers journeys even in cases where these data are incomplete. In this contribution we present a trip-chaining method to obtain passenger journeys from smart card transactions data. Using these transactions data with the combination of data from other sources such as street maps, timetable and bus line routes, we are able to obtain origins and destinations of passenger journeys and also information about the changes between the lines on the passengers journey. Designed approach is verified on the case of the Zilina municipality with a data set with real passengers smart card transactions for a period of one week. Obtained OD matrix is later used as the input for the solving of tariff zones partitioning problem in the Zilina municipality area and these results are also presented in this paper.

Suggested Citation

  • Michal Koháni, 2017. "OD Matrix Estimation Using Smart Card Transactions Data and Its Usage for the Tariff Zones Determination in the Public Transport," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 231-236, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_31
    DOI: 10.1007/978-3-319-42902-1_31
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