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High Occupancy Vehicle (HOV) System Analysis Tools: Statewide HOV Facility Performance Analysis

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Listed:
  • Jang, Kitae
  • Chan, Ching-Yao
  • Du, Yao-Qiong
  • Chu, Lianyu
  • Yang, Ming-Hsun
  • Recker, Will

Abstract

The two most common types of high occupancy vehicle (HOV) lanes in California are continuous access, prevalent in Northern California, and buffer-separated limited access, prevalent in Southern California. This report describes the evaluation of operational performance of HOV facilities in several regions in California with different access types as well as a before-after comparative study of California facilities where access types were converted in recent years. A set of performance measures were defined and selected to indicate how well the HOV facilities achieve intended goals – congestion relief, travel time saving, greater highway capacity. Additionally, an alternative methodology of indicating how well the operations perform in terms of the traffic flow fundamental diagrams was also adopted.

Suggested Citation

  • Jang, Kitae & Chan, Ching-Yao & Du, Yao-Qiong & Chu, Lianyu & Yang, Ming-Hsun & Recker, Will, 2012. "High Occupancy Vehicle (HOV) System Analysis Tools: Statewide HOV Facility Performance Analysis," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6928d1mq, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt6928d1mq
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    References listed on IDEAS

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    1. Cassidy, Michael J., 1998. "Bivariate relations in nearly stationary highway traffic," Transportation Research Part B: Methodological, Elsevier, vol. 32(1), pages 49-59, January.
    2. Leslie C. Edie, 1961. "Car-Following and Steady-State Theory for Noncongested Traffic," Operations Research, INFORMS, vol. 9(1), pages 66-76, February.
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