• DocumentCode
    3157631
  • Title

    A partition based match making algorithm for taxi sharing

  • Author

    Jiajian Xiao ; Aydt, Heiko ; Lees, Michael ; Knoll, Aaron

  • Author_Institution
    TUM CREATE Ltd., Singapore, Singapore
  • fYear
    2013
  • fDate
    6-9 Oct. 2013
  • Firstpage
    2393
  • Lastpage
    2400
  • Abstract
    Taxi sharing can help to improve the utilisation of taxis. Passengers for sharing are always chosen with some objectives in mind, for example, to minimise the inconvenience caused due to de-tours when picking up or dropping off other passengers. In this paper, we describe a method that optimises the match making process in order to minimise the inconvenience imposed on passengers. This method is based on the idea of dividing the road network into several partitions so that a certain quality of service requirement regarding inconvenience is satisfied. More precisely, this can be considered as a constrained optimisation problem.We describe a procedure how to decide on optimal parameters for the partitioning algorithm. In addition, we analyse the theoretical maximum sharing potential of commuters in Singapore using a simulation-based approach.
  • Keywords
    minimisation; road vehicles; traffic engineering computing; transportation; Singapore; constrained optimisation problem; partition based match making algorithm; passenger inconvenience minimisation; quality-of-service requirement; road network; simulation-based approach; taxi sharing; taxi utilisation improvement; Educational institutions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems - (ITSC), 2013 16th International IEEE Conference on
  • Conference_Location
    The Hague
  • Type

    conf

  • DOI
    10.1109/ITSC.2013.6728585
  • Filename
    6728585