Evaluating the Performance of Coordinated Signal Timing: Comparison of Common Data Types with Automated Vehicle Location Data

Performance measures are essential for managing transportation systems, including signalized corridors. Coordination is an essential element of signal timing, enabling reliable progression of traffic along corridors. Improved progression leads to less user delay, which leads to user cost savings and lower vehicle emissions. This paper presents a comparative study of signal coordination assessment using four different technologies. These technologies include detector-based high-resolution controller data, Bluetooth/Wi-Fi sensors, segment-based probe vehicle data, and automated vehicle location data consisting of GPS-based vehicle trajectories, representing the data anticipated from emerging connected vehicle technologies. The data were compiled for a 4.2-mi corridor in Holland, Michigan. The results show that all of the data sources were able to identify, at some level, where coordination issues existed. Detector-based controller data and GPS-based vehicle trajectory data were capable of showing greater detail, and could be used to make offset adjustments. The paper concludes by demonstrating the identification of signal coordination issues with the use of visual performance metrics incorporating automated vehicle location (AVL) trajectory data.

• Record URL:
  https://doi.org/10.1177/0361198118794546
• Record URL:
  https://doi.org/10.1177/0361198118794546
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Authors:
  • Remias, Stephen M
  • Day, Christopher M
  • Waddell, Jonathan M
  • Kirsch, Jenna N
  • Trepanier, Ted
• Publication Date: 2018

Language

• English

Media Info

• Media Type: Print
• Features: Figures; Photos; References; Tables;
• Pagination: pp 128-142
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2672
  • Issue Number: 18
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Automatic vehicle location; Bluetooth technology; Connected vehicles; Global Positioning System; Performance measurement; Probe vehicles; Traffic data; Traffic signal control systems; Traffic signal timing; Vehicle detectors; Vehicle trajectories
• Identifier Terms: WiFi services
• Geographic Terms: Holland (Michigan)
• Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Vehicles and Equipment;

Filing Info

• Accession Number: 01663909
• Record Type: Publication
• Report/Paper Numbers: 18-03728
• Files: TRIS, TRB, ATRI
• Created Date: Mar 22 2018 12:03PM