• DocumentCode
    66293
  • Title

    Bandwidth Maximization Using Vehicle Arrival Functions

  • Author

    Gomes, Gabriel

  • Author_Institution
    California Partners for Adv. Transp. Technol. Program, Univ. of California Berkeley, Berkeley, CA, USA
  • Volume
    16
  • Issue
    4
  • fYear
    2015
  • fDate
    Aug. 2015
  • Firstpage
    1977
  • Lastpage
    1988
  • Abstract
    We revisit the offset optimization problem for maximization of two-way progression bands. A new formulation is proposed relying on the concepts of relative offset and vehicle arrival functions. Vehicle arrival functions represent the probability that a vehicle reaches a given intersection at a given time. Relative offsets are the displacement of the arrival functions with respect to a moving coordinate frame. An explicit formula for the bandwidth is derived based on these two quantities. The bandwidth maximization problem is then formulated as an unconstrained nonlinear program. The cases of pulse and Gaussian arrivals are considered in detail. Numerical techniques are proposed for both that return globally optimal solutions with small computational cost.
  • Keywords
    Gaussian processes; bandwidth allocation; nonlinear programming; probability; road traffic; Gaussian arrivals; bandwidth maximization problem; offset optimization problem; two-way progression band maximization; unconstrained nonlinear program; vehicle arrival functions; Bandwidth; Optimization; Roads; Trajectory; Vehicles; Arterial progression; bandwidth maximization; linear programming; optimization; signal coordination;
  • fLanguage
    English
  • Journal_Title
    Intelligent Transportation Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1524-9050
  • Type

    jour

  • DOI
    10.1109/TITS.2014.2387731
  • Filename
    7042301