Evaluation of the Virginia Department of Transportation adaptive signal control technology pilot project.

Details

• Creators:
  Fontaine, Michael D. ; Ma, Jiaqi ; Hu, Jia
• Corporate Creators:
  Virginia Center for Transportation Innovation and Research
• Corporate Contributors:
  Virginia. Dept. of Transportation
• Subject/TRT Terms:
  Adaptive Control Bayes' Theorem Benefit Cost Analysis Periods Of The Day Pilot Studies Traffic Signal Control Systems Traffic Signal Timing
• Publication/ Report Number:
  VCTIR 15-R24
• Resource Type:
  Tech Report
• Geographical Coverage:
  Virginia
• Corporate Publisher:
  Virginia Center for Transportation Innovation and Research
• Abstract:
  Currently, most traffic signals operated by the Virginia Department of Transportation (VDOT) use actuated plans that vary
  
  by time of day (TOD) and day of the week. These timing plans are typically developed off-line using traffic count information
  
  collected in the field and then processed using signal optimization software. This method works well as long as traffic volumes
  
  remain consistent with the conditions used to develop the timing plan, but timing plans can become suboptimal if traffic demands
  
  deviate from those conditions. Traffic growth over time, seasonal changes in traffic, special events, or incidents can all cause
  
  TOD plans to perform poorly, resulting in increased delays to drivers. As a result, VDOT must regularly retime signalized
  
  intersections to deal with long-term changes in travel patterns, which incurs costs to VDOT. Even so, non-recurring events can
  
  still cause TOD plans to perform poorly.
  
  Adaptive signal control technology (ASCT) is one tool that has been proposed to handle variable traffic demand better.
  
  VDOT’s Traffic Engineering Division began a pilot program to install the InSync ASCT developed by Rhythm Engineering on
  
  13 corridors around the state beginning in 2011. The InSync system uses enhanced detection along a corridor to adjust signal
  
  timing parameters dynamically to meet observed demand in real time, eliminating the need to develop static timing plans. This
  
  allows the ASCT system to adjust signal timing parameters to account for variations in flow attributable to special events,
  
  seasonal flows, incidents, or simply the increase of volumes over time. In this case, signal timings are not pre-defined based on
  
  historic data, so ASCT systems can potentially reduce delays created by outdated static TOD plans.
  
  These pilot deployments were evaluated to determine if ASCT created operational and safety improvements large enough
  
  to justify the additional costs to install ASCT. Data on mainline traffic operations, side street delays, and intersection crashes
  
  were collected with and without ASCT active. The results showed that mainline traffic operations generally improved if (1) the
  
  corridor was not oversaturated; (2) the corridor did not have characteristics that encourage platoon dispersion; and (3) the
  
  corridor did not already function well. Side street delays generally increased, although net benefits in overall corridor travel time
  
  were usually still observed. An empirical Bayes safety analysis of crashes at the intersections where ASCT was installed also
  
  found a 17% decrease in total crashes. Overall, ASCT generally produced a favorable benefit/cost ratio. The findings from the
  
  pilot tests were used to identify key considerations for future ASCT deployments so that VDOT could better identify future sites
  
  that might benefit from ASCT installation.
  
  
• Format:
  PDF
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:54a6d49676878bf7962a445949a65a6531ffd06ac8486cbe790c67a81733e47e7f0019671732836376ca7c2cba307b29e008259dbbff7f27eda9e76123a7dbe1
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/29013/dot_29013_DS1.pdf
• File Type:
  [PDF - 556.94 KB ]