Queuing Models for Analysis of Traffic Adaptive Signal Control

In this paper authors present research into an analytical approach to traffic adaptive signal control in creating a stochastic queuing model. The numerical method used allows for the collection of steady-state distributions of delays and queues, which can then be compared to data obtained from a simulation model. The specified queuing models allow for traffic signalization to serve two movements alternatively through a moving-horizon adaptive control strategy. The strategy works by serving one queue until it has dissipated and then serving the second until it too has dissipated, and then the same process is repeated. When results were compared to the simulation model, researchers found that the numerical model was successful in approximations when flow ratios were found to be less than 0.60. Estimation of average delays becomes less accurate as the ratio increases.

  • Availability:
  • Authors:
    • Mirchandani, Pitu B
    • Zou, Ning
  • Publication Date: 2007-3


  • English

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Filing Info

  • Accession Number: 01045011
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Files: BTRIS, TRIS
  • Created Date: Mar 22 2007 2:06PM