IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v5y2012i2p371-385d16244.html
   My bibliography  Save this article

Development and Evaluation of an Economic-Driving Assistance Program for Transit Vehicles

Author

Listed:
  • Wanjing Ma

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China)

  • Hanzhou Xie

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China)

  • Baoxin Han

    (Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, 4800 Cao’an Road, Shanghai 201804, China)

Abstract

This paper focuses on development and evaluation of an economic-driving assistance program for transit vehicles (EDTV) which can minimize energy consumption, air pollution emission of buses, and improve the level of service of transit system as well. Taking advantage of the latest advances in information and communication technologies, the EDTV system can provide bus drivers with optimal recommended bus holding times at near-side bus stops and dynamic bus speed to adapt to the real-time traffic control plan at downstream intersections. In order to address the impacts of the stochastic variation of bus dwell time, the total link between adjacent intersections is divided into three parts: upstream of bus stop part; bus stop part; and downstream of bus stop part. The methods for calculating recommended parameters, including bus holding time and bus speed in each of the three parts are proposed based on real-time bus status and signal status at downstream intersections. A VISSIM-based simulation platform was designed and used for simulating and evaluating the proposed EDTV system. Extensive experimental analyses have shown that the proposed EDTV system can improve the performance of a transit system in terms of reducing fuel consumption, air pollution emissions and level of service of the transit system.

Suggested Citation

  • Wanjing Ma & Hanzhou Xie & Baoxin Han, 2012. "Development and Evaluation of an Economic-Driving Assistance Program for Transit Vehicles," Energies, MDPI, vol. 5(2), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:5:y:2012:i:2:p:371-385:d:16244
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/5/2/371/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/5/2/371/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Noland, Robert B. & Cowart, William A. & Fulton, Lewis M., 2006. "Travel demand policies for saving oil during a supply emergency," Energy Policy, Elsevier, vol. 34(17), pages 2994-3005, November.
    Full references (including those not matched with items on IDEAS)

    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. Zhong, Lin & Zhang, Kenan & (Marco) Nie, Yu & Xu, Jiuping, 2020. "Dynamic carpool in morning commute: Role of high-occupancy-vehicle (HOV) and high-occupancy-toll (HOT) lanes," Transportation Research Part B: Methodological, Elsevier, vol. 135(C), pages 98-119.
    2. Echeverría, Lucía & Gimenez-Nadal, J. Ignacio & Molina, José Alberto, 2021. "Carpooling: User profiles and well-being," Nülan. Deposited Documents 3568, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    3. Gusdorf, Francois & Hallegatte, Stephane, 2007. "Behaviors and housing inertia are key factors in determining the consequences of a shock in transportation costs," Energy Policy, Elsevier, vol. 35(6), pages 3483-3495, June.
    4. de Grange, Louis & Troncoso, Rodrigo & González, Felipe, 2012. "An empirical evaluation of the impact of three urban transportation policies on transit use," Transport Policy, Elsevier, vol. 22(C), pages 11-19.
    5. Yanwei Li & Araz Taeihagh & Martin De Jong, 2018. "The Governance of Risks in Ridesharing: A Revelatory Case from Singapore," Energies, MDPI, vol. 11(5), pages 1-21, May.
    6. Paul Minett & John Pearce, 2011. "Estimating the Energy Consumption Impact of Casual Carpooling," Energies, MDPI, vol. 4(1), pages 1-14, January.
    7. Shaheen, Susan PhD & Cohen, Adam MCRP & Bayen, Alexandre PhD, 2024. "The Benefits of Carpooling," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt7jx6z631, Institute of Transportation Studies, UC Berkeley.
    8. Liu, Xiaobing & Yan, Xuedong & Liu, Feng & Wang, Rui & Leng, Yan, 2019. "A trip-specific model for fuel saving estimation and subsidy policy making of carpooling based on empirical data," Applied Energy, Elsevier, vol. 240(C), pages 295-311.

    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:gam:jeners:v:5:y:2012:i:2:p:371-385:d:16244. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.