• DocumentCode
    1753695
  • Title

    Smart ride share with flexible route matching

  • Author

    Chen, Chung-Min ; Shallcross, David ; Shih, Yung-Chien ; Wu, Yen-Ching ; Kuo, Sheng-Po ; Yuan-Ying Hsi ; Holderby, Yuhsiang ; Chou, William

  • Author_Institution
    Telcordia Technol., Piscataway, NJ, USA
  • fYear
    2011
  • fDate
    13-16 Feb. 2011
  • Firstpage
    1506
  • Lastpage
    1510
  • Abstract
    The concept of providing an on-line car pooling service to facilitate matching of drivers and riders has been around for a while. A number of systems or trials have also been built for use in university campuses or on-line communities. These systems however are quite restrictive in terms of the quality of matches and flexibility of pick-up/drop-off places, routes and schedules. Capitalizing on the ubiquitous wireless networks and GPS-enabled mobile devices, we have developed a smart ride-share system with an efficient scheduling algorithm for ride sharing, which can potentially achieve better vehicle utilization, energy consumption and user convenience. This paper describes the algorithms adopted in the system and presents a performance evaluation. The results show that with the proposed algorithm, ride-share scheduling can be achieved efficiently with large size of fleets.
  • Keywords
    Global Positioning System; mobile computing; performance evaluation; scheduling; traffic engineering computing; GPS enabled mobile devices; drop-off location; energy consumption; flexible route matching; online car pooling service; performance evaluation; pick-up location; smart ride share scheduling algorithm; ubiquitous wireless networks; user convenience; vehicle utilization; Algorithm design and analysis; Schedules; Scheduling; Scheduling algorithm; Telematics; Vehicles; ITS; carpool; fleet scheduling; telematics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Communication Technology (ICACT), 2011 13th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    1738-9445
  • Print_ISBN
    978-1-4244-8830-8
  • Type

    conf

  • Filename
    5746090