IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt5bz576tn.html
   My bibliography  Save this paper

Integrated Smart Feeder / Shuttle Bus Service

Author

Listed:
  • Ceder, Avishai
  • Yim, Youngbin

Abstract

This paper presents the design of an integrated smart feeder/shuttle system. The design of such a system was motivated by the need to provide easy access to main haul transit services. Park and ride lots in many train stations can no longer accommodate automobiles brought to the stations. Some train riders have switched their mode of transportation from public transit to solo driving. Shortage of parking spaces at rail stations encourages passengers to drive alone, hence more cars on freeways and worsening traffic congestion. The purpose of this study is to design an innovative feeder/shuttle system that will 1) meet the needs and desires of end users, 2) utilize intelligent transportation technologies, and 3) increase the operational efficiency. Ideally, this smart feeder/shuttle system should be attractive to consumers because the service should be reliable and routing/scheduling should be flexible enough to meet the needs of riders. Among the attributes are the provision of door-to-door services and smooth and synchronized transfers between main haul and collector transit systems. To design an innovative feeder/shuttle system, new integrated and routing concepts have been developed. Ten different routing strategies are examined, including combinations of fixed/flexible routes, fixed/flexible schedules, one or bi-directional approaches, and short-cut (shortest path) and/or short-turn (turn around) concepts. The evaluation of these strategies is performed using a simulation model which is developed and constructed for this project. This simulation tool allows for the examination of: (a) various operating strategies from the user and the operator perspectives, (b) different routing models and scenarios, and (c) different real-time communication possibilities between the user, operator and a control center. This simulation model is used in a case study of Castro Valley in Alameda County, California. In this case study the feeder/shuttle service is coordinated with the Bay Area Rapid Transit (BART) service and the ten routing strategies are compared while using four fleet sized scenarios.

Suggested Citation

  • Ceder, Avishai & Yim, Youngbin, 2003. "Integrated Smart Feeder / Shuttle Bus Service," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5bz576tn, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt5bz576tn
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/5bz576tn.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Irina Ioachim & Jacques Desrosiers & Yvan Dumas & Marius M. Solomon & Daniel Villeneuve, 1995. "A Request Clustering Algorithm for Door-to-Door Handicapped Transportation," Transportation Science, INFORMS, vol. 29(1), pages 63-78, February.
    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. Lu, Xiao-Yun & Gosling, Geoffrey D. & Ceder, Avi & Tung, Steven & Tso, Kristin & Shladover, Steven & Xiong, Jing & Yoon, Sangwon, 2009. "A Combined Quantitative and Qualitative Approach to Planning for Improved Intermodal Connectivity at California Airports," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1r7227tt, Institute of Transportation Studies, UC Berkeley.

    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. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.
    2. Lu, Quan & Dessouky, Maged M., 2006. "A new insertion-based construction heuristic for solving the pickup and delivery problem with time windows," European Journal of Operational Research, Elsevier, vol. 175(2), pages 672-687, December.
    3. Luo, Ying & Schonfeld, Paul, 2007. "A rejected-reinsertion heuristic for the static Dial-A-Ride Problem," Transportation Research Part B: Methodological, Elsevier, vol. 41(7), pages 736-755, August.
    4. Shangyao Yan & Chun-Ying Chen & Chuan-Che Wu, 2012. "Solution methods for the taxi pooling problem," Transportation, Springer, vol. 39(3), pages 723-748, May.
    5. Xiang, Zhihai & Chu, Chengbin & Chen, Haoxun, 2006. "A fast heuristic for solving a large-scale static dial-a-ride problem under complex constraints," European Journal of Operational Research, Elsevier, vol. 174(2), pages 1117-1139, October.
    6. Horn, M. E. T., 2002. "Multi-modal and demand-responsive passenger transport systems: a modelling framework with embedded control systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 167-188, February.
    7. Mitrovic-Minic, Snezana & Laporte, Gilbert, 2004. "Waiting strategies for the dynamic pickup and delivery problem with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(7), pages 635-655, August.
    8. Zhao, Jiamin & Dessouky, Maged, 2008. "Service capacity design problems for mobility allowance shuttle transit systems," Transportation Research Part B: Methodological, Elsevier, vol. 42(2), pages 135-146, February.
    9. Diana, Marco & Dessouky, Maged M., 2004. "A new regret insertion heuristic for solving large-scale dial-a-ride problems with time windows," Transportation Research Part B: Methodological, Elsevier, vol. 38(6), pages 539-557, July.
    10. Mahmoudi, Monirehalsadat & Zhou, Xuesong, 2016. "Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 19-42.
    11. Quadrifoglio, Luca & Dessouky, Maged M. & Ordóñez, Fernando, 2008. "A simulation study of demand responsive transit system design," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(4), pages 718-737, May.
    12. Fu, Liping, 2002. "Scheduling dial-a-ride paratransit under time-varying, stochastic congestion," Transportation Research Part B: Methodological, Elsevier, vol. 36(6), pages 485-506, July.
    13. A T Ernst & M Horn & P Kilby & M Krishnamoorthy, 2010. "Dynamic scheduling of recreational rental vehicles with revenue management extensions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(7), pages 1133-1143, July.
    14. Jean-François Cordeau & Gilbert Laporte, 2007. "The dial-a-ride problem: models and algorithms," Annals of Operations Research, Springer, vol. 153(1), pages 29-46, September.
    15. Quan Lu & Maged Dessouky, 2004. "An Exact Algorithm for the Multiple Vehicle Pickup and Delivery Problem," Transportation Science, INFORMS, vol. 38(4), pages 503-514, November.
    16. Gaul, Daniela & Klamroth, Kathrin & Stiglmayr, Michael, 2022. "Event-based MILP models for ridepooling applications," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1048-1063.
    17. Brønmo, Geir & Nygreen, Bjørn & Lysgaard, Jens, 2010. "Column generation approaches to ship scheduling with flexible cargo sizes," European Journal of Operational Research, Elsevier, vol. 200(1), pages 139-150, January.
    18. Cordeau, Jean-François & Laporte, Gilbert, 2003. "A tabu search heuristic for the static multi-vehicle dial-a-ride problem," Transportation Research Part B: Methodological, Elsevier, vol. 37(6), pages 579-594, July.
    19. Mahmoudi, Monirehalsadat & Chen, Junhua & Shi, Tie & Zhang, Yongxiang & Zhou, Xuesong, 2019. "A cumulative service state representation for the pickup and delivery problem with transfers," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 351-380.
    20. Teodor Crainic & Fausto Errico & Federico Malucelli & Maddalena Nonato, 2012. "Designing the master schedule for demand-adaptive transit systems," Annals of Operations Research, Springer, vol. 194(1), pages 151-166, April.

    More about this item

    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:cdl:itsrrp:qt5bz576tn. 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: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    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.