Effectiveness of Adaptive Traffic Control for Arterial Signal Management: Modeling Results

The objectives of the study described in this report are a) identify and select the most promising of existing adaptive control algorithms for arterial streets, b) evaluate the performance of the selected algorithms through simulation, c) and develop a plan for field testing of the most promising algorithm(s) on a real-world arterial. This report summarizes the findings from the literature review and presents the study methodology. A section of the Pacific Coast Highway in the city of Lomita was selected as the test site for evaluation of adaptive signal control strategies. A methodology was developed to obtain a time-varying origin-destination (OD) matrix from the system loop detector data at the test site. The calibrated OD matrix was applied to a microscopic representation of the site created in PARAMICS. A plug-in for simulating signal control in PARAMICS was written to explicitly model pre-timed, isolated actuated, coordinated actuated, traffic responsive, and critical intersection control, as well as adaptive strategies such as RHODES and TUC. The analysis of the simulation results shows that RHODES is the best control strategy at the selected arterial.

Language

  • English

Media Info

  • Media Type: Digital/other
  • Edition: Final Report
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 98p
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 01219896
  • Record Type: Publication
  • Source Agency: UC Berkeley Transportation Library
  • Report/Paper Numbers: UCB-ITS-PRR-2010-36, CA10-0823
  • Contract Numbers: 65A0208-6322
  • Files: PATH, CALTRANS, TRIS, ATRI, STATEDOT
  • Created Date: Oct 22 2010 8:59AM