Detector-Free Optimization of Traffic Signal Offsets with Connected Vehicle Data

Signal offset optimization recently has been shown to be feasible with vehicle trajectory data at low levels of market penetration. Offset optimization was performed on two corridors with that type of data. A proposed procedure called "virtual detection" was used to process 6 weeks of trajectory splines and create vehicle arrival profiles for two corridors, comprising 25 signalized intersections. After data were processed and filtered, penetration rates between 0.09% and 0.80% were observed, with variations by approach. Then those arrival profiles were compared statistically with those measured with physical detectors, and most approaches showed statistically significant goodness of fit at a 90% confidence level. Finally, the arrival profiles created with virtual detection were used to optimize offsets and compared with a solution derived from arrival profiles obtained with physical detectors. Results demonstrate that virtual detection can produce good-quality offsets with current market penetration rates of probe data. In addition, a sensitivity analysis of the sampling period indicated that 2 weeks may be sufficient for data collection at current penetration rates.

• Record URL:
  https://doi.org/10.3141/2620-06
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309441759
• Authors:
  • Day, Christopher M
  • Li, Howell
  • Richardson, Lucy M
  • Howard, James
  • Platte, Tom
  • Sturdevant, James R
  • Bullock, Darcy M
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 54–68
• Monograph Title: Traffic Signal Systems, Volume 2
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2620
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Connected vehicles; Mobile communication systems; Offset intersections; Programming (Mathematics); Vehicle detectors; Vehicle trajectories; Virtual reality
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01627578
• Record Type: Publication
• ISBN: 9780309441759
• Report/Paper Numbers: 17-00089
• Files: TRIS, TRB, ATRI
• Created Date: Feb 27 2017 5:12PM