Cost Reduction of Public Transportation Systems with Information Visibility Enabled by RFID Technology

Conference paper
Part of the Advanced Concurrent Engineering book series (ACENG)

Abstract

Radio Frequency Identification (RFID) has been heralded as one of the technologies that will fundamentally transform the industries. After years of hype, the adoption of RFID remains weak. This is due in part to the technology itself but also the economy and the overall strategy of the applications. In this research, the conditions in which RFID adoption is applicable are first synthesized. The merit of RFID is then further exploited for the public transportation applications. By employing RFID along with other communication technologies, public transportation vehicles can be identified and tracked during their services. With the ability to “calibrate” where exactly such vehicles are along their routes, the arrival time for the vehicles to the stops can be estimated more accurately. Passengers can then keep shorter lead time to meet the vehicle schedule; service providers may on the other hand provide the same level of passenger service with less frequent vehicle services.

Keywords

Radio Frequency Identification System Total Cost Public Transportation System Passenger Service Passenger Arrival 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References

  1. [1]
    Ben-Akiva M., SR Lerman. Discrete choice analysis. MIT Press 1985.Google Scholar
  2. [2]
    Gentile G., Nguyen S., Pallottino S. Route choice on transit networks with online information at stops. Transportation Science 2005;39(3):289-97.CrossRefGoogle Scholar
  3. [3]
    Hess DL, Brown J, Shoup D. Waiting for a bus. Journal of Public Transportation 2004; 7(4) :67-84.Google Scholar
  4. [4]
    Hickman M. Bus Automatic Vehicle Location (AVL) Systems. In : Assessing the Benefits and Costs of ITS. Springer 2006:59-88.Google Scholar
  5. [5]
    Larson RC, Odoni AR. Urban Operation Research. Prentice-Hall. Englewood Cliffs 1981.Google Scholar
  6. [6]
    Margiuer PHJ, Ceder A. Passengers waiting strategies for overlapping bus routes. Transportation Science Journal 1984 ;18(3): 207-30.CrossRefGoogle Scholar
  7. [7]
    McLeod F. Estimating bus passenger waiting times from incomplete bus arrivals data. Journal of the Operational Research Society 2007;58:1518-25.MATHCrossRefGoogle Scholar
  8. [8]
    Menezes B., Laddhad K, Karthik. Challenges in RFID deployment – a case study in public transportation. International Conference on E-Governance 2006.Google Scholar
  9. [9]
    Mishalani RG, McCord MM. Passenger wait time perceptions at bus stops : empirical results and impact on evaluating Real-Time Bus Arrival Information. Journal of Public Transportation 2006;9 (2):89-106.Google Scholar
  10. [10]
    Ngai EWT, Moon KKL., Riggins FJ, Yi CY. RFID Research : an academic literature review (1995-2005) and future research directions. International Journal of Production Economics 2007;112:510-20.CrossRefGoogle Scholar
  11. [11]
    Seddon PA., Day MP. Bus passenger waiting time in Greater Manchester. Traffic Engineering Control 1974;15:442-445.Google Scholar
  12. [12]
    Wyld DC. RFID 101 : The next big thing for management. Management Research News 2006;29(4):154-73.CrossRefGoogle Scholar

Copyright information

© Springer London 2009

Authors and Affiliations

  1. 1.Department of Industrial ManagementNational Taiwan University of Science and TechnologyTaipeiTaiwan, Province of China

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