IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt4jz9s97d.html
   My bibliography  Save this paper

Optimized Lane Assignment on an Automated Highway

Author

Listed:
  • Hall, Randolph
  • Lotspeich, David

Abstract

Highway automation entails the application of control, sensing and communication technologies to road vehicles, with the objective of improving highway performance. It has been envisioned that automation could increase highway capacity by a factor of three. To attain this capacity, it will be important to minimize the amount of lane-changing and optimally assign vehicles to lanes. This paper develops and applies a linear programming based lane assignment model. The highway system is modeled as a multi-commodity network, where the commodities represent trip destinations (i.e., exit ramps on highways). An unusual feature of the model is that capacities are defined by bundle constraints, which are functions of the flow entering, leaving, continuing and passing through lanes in each highway segment. The objective is to maximize total flow, subject to a fixed origiddestination pattern, expressed on a proportional basis. The model is tested for highways with up to 80 segments, 20 destinations and 5 lanes, and parametric analyses are provided with respect to the time-space requirement for lane-changes, number of lanes, number of segments and origiddestination pattern.

Suggested Citation

  • Hall, Randolph & Lotspeich, David, 1996. "Optimized Lane Assignment on an Automated Highway," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4jz9s97d, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt4jz9s97d
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/4jz9s97d.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Randolph W. Hall, 1995. "Longitudinal and Lateral Throughput on an Idealized Highway," Transportation Science, INFORMS, vol. 29(2), pages 118-127, May.
    2. Ioannou, P. & Xu, Z., 1994. "Throttle And Brake Control Systems For Automatic Vehicle Following," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1vb6380h, Institute of Transportation Studies, UC Berkeley.
    3. Broucke, M. & Varaiya, P., 1995. "A Theory Of Traffic Flow In Automated Highway Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4h41g68m, Institute of Transportation Studies, UC Berkeley.
    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. Hall, Randolph & Chin, Chinan, 2002. "Vehicle Sorting for Platoon Formation: Impacts on Highway Entry and Throughput," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt58t3f9p8, 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. Broucke, M. & Varaiya, P., 1995. "A Theory Of Traffic Flow In Automated Highway Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4h41g68m, Institute of Transportation Studies, UC Berkeley.
    2. Hall, Randolph & Chin, Chinan, 2002. "Vehicle Sorting for Platoon Formation: Impacts on Highway Entry and Throughput," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt58t3f9p8, Institute of Transportation Studies, UC Berkeley.
    3. Li, Yongfu & Zhao, Hang & Zhang, Li & Zhang, Chao, 2018. "An extended car-following model incorporating the effects of lateral gap and gradient," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 177-189.
    4. Godbole, Datta N. & Lygeros, John, 2000. "Safety and Throughput Analysis of Automated Highway Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6767x8n2, Institute of Transportation Studies, UC Berkeley.
    5. Li, Xiaopeng, 2022. "Trade-off between safety, mobility and stability in automated vehicle following control: An analytical method," Transportation Research Part B: Methodological, Elsevier, vol. 166(C), pages 1-18.
    6. Jafaripournimchahi, Ammar & Cai, Yingfeng & Wang, Hai & Sun, Lu & Yang, Biao, 2022. "Stability analysis of delayed-feedback control effect in the continuum traffic flow of autonomous vehicles without V2I communication," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 605(C).
    7. Raza, H. & Ioannou, P., 1996. "Vehicle Control Design For Infrastructure Managed Vehicle Following," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8sd4665d, Institute of Transportation Studies, UC Berkeley.
    8. Ioannou, Petros & Stefanovic, Margareta, 2003. "Evaluation of the ACC Vehicles in Mixed Traffic: Lane Change Effects and Sensitivity Analysis," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6cz425r5, Institute of Transportation Studies, UC Berkeley.
    9. Eskafi, Farokh H., 1996. "Modeling And Simulation Of The Automated Highway System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt11m6t11p, Institute of Transportation Studies, UC Berkeley.
    10. Mauricio Marcano & José A. Matute & Ray Lattarulo & Enrique Martí & Joshué Pérez, 2018. "Low Speed Longitudinal Control Algorithms for Automated Vehicles in Simulation and Real Platforms," Complexity, Hindawi, vol. 2018, pages 1-12, March.
    11. Yanakiev, Diana & Eyre, Jennifer & Kanellakopoulos, Ioannis, 1998. "Analysis, Design, And Evaluation Of Avcs For Heavy-duty Vehicles With Actuator Delays," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt931877r2, Institute of Transportation Studies, UC Berkeley.
    12. Xu, Z., 1995. "A Dynamic Visualization Environment For The Design And Evaluation Of Automatic Vehicle Control Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt5xj5q73q, Institute of Transportation Studies, UC Berkeley.
    13. Sun, Yuqing & Ge, Hongxia & Cheng, Rongjun, 2019. "A car-following model considering the effect of electronic throttle opening angle over the curved road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
    14. Hall, Randolph & Chin, Chinan & Gadgil, Nishad, 2003. "The Automated Highway System / Street Interface: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0zm6v6m3, Institute of Transportation Studies, UC Berkeley.
    15. Yanakiev, Diana & Kanellakopoulos, Ioannis, 1995. "Analysis, Design, And Evaluation Of AVCS For Heavy-duty Vehicles: Phase 1 Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2pw3920z, Institute of Transportation Studies, UC Berkeley.
    16. Anil Ufuk Batmaz & Jens Maiero & Ernst Kruijff & Bernhard E Riecke & Carman Neustaedter & Wolfgang Stuerzlinger, 2020. "How automatic speed control based on distance affects user behaviours in telepresence robot navigation within dense conference-like environments," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-41, November.
    17. Malik, J. & Russell, S., 1995. "A Machine Vision Based Surveillance System for California Roads," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1hh5x9jw, Institute of Transportation Studies, UC Berkeley.
    18. Wen Huan Ai & Ming Ming Wang & Da Wei Liu, 2023. "Analysis of macroscopic traffic flow model considering throttle dynamics," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(6), pages 1-18, June.
    19. Yanakiev, Diana & Kanellakopoulos, Ioannis, 1996. "Analysis, Design And Evaluation Of Avcs For Heavy-duty Vehicles," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt62z7k6rw, Institute of Transportation Studies, UC Berkeley.
    20. Talebpour, Alireza & Mahmassani, Hani S. & Hamdar, Samer H., 2018. "Effect of information availability on stability of traffic flow: Percolation theory approach," Transportation Research Part B: Methodological, Elsevier, vol. 117(PB), pages 624-638.

    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:qt4jz9s97d. 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.