IDEAS home Printed from https://ideas.repec.org/p/zbw/itsb12/72485.html
   My bibliography  Save this paper

An approach to design a real-time transportation information application with enabling technologies

Author

Listed:
  • Huang, KuangChiu
  • Pai, Shu-hsuan

Abstract

Real-time transportation information (RTTI) brings convenience by immediate traffic information for drivers and minimizes uncertainty of waiting time for bus passengers. Information about heavy rains suddenly flood underground passages and traffic accidents cause road blocking can be accessed immediately through an application service via smartphones. Bus passengers can check bus waiting time from Internet before moving to bus stations by RTTI. With the development of information communication technology (ICT), benefits of real-time transportation information can be realized by an integration of location based service (LBS), smartphone, applications, 3G network and cloud computing service. In order to gain insight of RTTI service, we carry out this research with two steps. The first, the study collects existing transportation related applications from both Apple iOS platform and Google Android platform to analyze their features. Next, we analyze enabling ICT technologies to design a RTTI service model and the issue on energy saving and CO2 emission reduction. The outcome of this research can provide a clear model to assist transportation regulators, municipalities and application developers to evaluate benefits and costs of RTTI service.

Suggested Citation

  • Huang, KuangChiu & Pai, Shu-hsuan, 2012. "An approach to design a real-time transportation information application with enabling technologies," 19th ITS Biennial Conference, Bangkok 2012: Moving Forward with Future Technologies - Opening a Platform for All 72485, International Telecommunications Society (ITS).
    • Handle: RePEc:zbw:itsb12:72485
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/72485/1/742707393.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Watkins, Kari Edison & Ferris, Brian & Borning, Alan & Rutherford, G. Scott & Layton, David, 2011. "Where Is My Bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(8), pages 839-848, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Stanis£Aw Brzeziñski & Piotr Stefañczyk, 2013. "Use Of Smartphone’S Possibilities In Construction Of Logistics System Of Vending Machines," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 7(1), pages 21-30, December.
    2. Ma. Janice J. Gumasing & Frances Jeann Charlize S. Bermejo & Keisha Taranee C. Elpedes & Lady Fatima E. Gonzales & Aaron Chastine V. Villajin, 2023. "Antecedents of Waze Mobile Application Usage as a Solution for Sustainable Traffic Management among Gen Z," Sustainability, MDPI, vol. 15(13), pages 1-18, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sarker, Rumana Islam & Kaplan, Sigal & Mailer, Markus & Timmermans, Harry J.P., 2019. "Applying affective event theory to explain transit users’ reactions to service disruptions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 593-605.
    2. Bounie, Nathan & Adoue, François & Koning, Martin & L'Hostis, Alain, 2019. "What value do travelers put on connectivity to mobile phone and Internet networks in public transport? Empirical evidence from the Paris region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 158-177.
    3. Mulley, Corinne & Clifton, Geoffrey Tilden & Balbontin, Camila & Ma, Liang, 2017. "Information for travelling: Awareness and usage of the various sources of information available to public transport users in NSW," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 111-132.
    4. Anne Brown & Whitney LaValle, 2021. "Hailing a change: comparing taxi and ridehail service quality in Los Angeles," Transportation, Springer, vol. 48(2), pages 1007-1031, April.
    5. Wessel, Nate & Allen, Jeff & Farber, Steven, 2017. "Constructing a routable retrospective transit timetable from a real-time vehicle location feed and GTFS," Journal of Transport Geography, Elsevier, vol. 62(C), pages 92-97.
    6. Kuo, Pei-Fen & Lord, Dominique, 2013. "Accounting for site-selection bias in before–after studies for continuous distributions: Characteristics and application using speed data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 49(C), pages 256-269.
    7. David Levinson & Hao Wu, 2020. "Towards a general theory of access," Working Papers 2022-01, University of Minnesota: Nexus Research Group.
    8. Zhou, Chang & Tian, Qiong & Wang, David Z.W., 2022. "A novel control strategy in mitigating bus bunching: Utilizing real-time information," Transport Policy, Elsevier, vol. 123(C), pages 1-13.
    9. Evelien van der Hurk & Leo Kroon & Gábor Maróti, 2018. "Passenger Advice and Rolling Stock Rescheduling Under Uncertainty for Disruption Management," Service Science, INFORMS, vol. 52(6), pages 1391-1411, December.
    10. Van Acker, Veronique & Ho, Loan & Mulley, Corinne, 2021. "“Satisfaction lies in the effort”. Is Gandhi’s quote also true for satisfaction with commuting?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 151(C), pages 214-227.
    11. Shaghayegh Rahnama & Adriana Cortez & Andres Monzon, 2024. "Navigating Passenger Satisfaction: A Structural Equation Modeling–Artificial Neural Network Approach to Intercity Bus Services," Sustainability, MDPI, vol. 16(11), pages 1-33, May.
    12. Muhammad Zudhy Irawan & Prawira Fajarindra Belgiawan & Ari Krisna Mawira Tarigan & Fajar Wijanarko, 2020. "To compete or not compete: exploring the relationships between motorcycle-based ride-sourcing, motorcycle taxis, and public transport in the Jakarta metropolitan area," Transportation, Springer, vol. 47(5), pages 2367-2389, October.
    13. Fan, Yingling & Guthrie, Andrew & Levinson, David, 2016. "Waiting time perceptions at transit stops and stations: Effects of basic amenities, gender, and security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 88(C), pages 251-264.
    14. Cats, Oded & Loutos, Gerasimos, 2016. "Evaluating the added-value of online bus arrival prediction schemes," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 35-55.
    15. Kong, Hui & Zhang, Xiaohu & Zhao, Jinhua, 2020. "How does ridesourcing substitute for public transit? A geospatial perspective in Chengdu, China," Journal of Transport Geography, Elsevier, vol. 86(C).
    16. Jenelius, Erik, 2018. "Public transport experienced service reliability: Integrating travel time and travel conditions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 275-291.
    17. Daganzo, Carlos & Anderson, Paul, 2016. "Coordinating Transit Transfers in Real Time," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt25h4r974, Institute of Transportation Studies, UC Berkeley.
    18. Wang, Yacan & Geng, Kexin & May, Anthony D. & Zhou, Huiyu, 2022. "The impact of traffic demand management policy mix on commuter travel choices," Transport Policy, Elsevier, vol. 117(C), pages 74-87.
    19. Ties Brands & Malvika Dixit & Edgard Zúñiga & Niels Oort, 2022. "Perceived and actual travel times in a multi-modal urban public transport network: comparing survey and AVL data," Public Transport, Springer, vol. 14(1), pages 85-103, March.
    20. Leng, Nuannuan & Corman, Francesco, 2020. "The role of information availability to passengers in public transport disruptions: An agent-based simulation approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 214-236.

    More about this item

    Keywords

    real time transportation information; ICT; energy saving; CO2 emission;
    All these keywords.

    JEL classification:

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:itsb12:72485. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itsworld.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.