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Optimized Lane Assignment on an Automated Highway

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  • 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
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    References listed on IDEAS

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    1. 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.
    2. Randolph W. Hall, 1995. "Longitudinal and Lateral Throughput on an Idealized Highway," Transportation Science, INFORMS, vol. 29(2), pages 118-127, May.
    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.
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    Cited by:

    1. Yao, Zhihong & Li, Le & Liao, Wenbin & Wang, Yi & Wu, Yunxia, 2024. "Optimal lane management policy for connected automated vehicles in mixed traffic flow," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
    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. Qin, Yanyan & Xie, Lulu & Gong, Siyuan & Ding, Fan & Tang, Honghui, 2024. "An optimal lane configuration management scheme for a mixed traffic freeway with connected vehicle platoons," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 634(C).

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