Automatic Generation of Traffic Signal Timing Plan

Due to budget constraints, most of the traffic signals in the U.S. are retimed once every 2-5 years. Despite that, traffic delay increases 3-5% per year with outdated timing plans. It would be desirable to reduce the signal retiming costs by automating all or a portion of the manual process. This research takes one step forward in this direction. In this project, the authors develop a performance visualization and fine-tuning tool for arterial traffic signal systems, aimed at reducing the labor costs for signal retiming. Using high-resolution event-based data from the Systematic Monitoring of Arterial Road Traffic and Signals (SMART-Signal) system, a set of easy-to-use algorithms are developed to refine traffic signal systems. Specifically, a framework is developed to diagnose operational problems regarding cycle lengths, green splits and offsets. Then, algorithms for offsets and green splits fine-tuning are proposed. To fine-tune offsets, a practical procedure to construct time space diagram (TS-Diagram) to visualize the progression quality on arterials is proposed and validated. For green splits, an adjusted measure of effectiveness (MOE), the utilized green time (UGT), is proposed for performance evaluation. Moreover, a practical procedure for time of day (TOD) transitions is also developed to generate optimal timing plan schedules. Field case studies and simulation experiments are carried out to illustrate and validate the proposed algorithms. The algorithms could be used during the retiming process to help agencies reduce labor costs, or to periodically refine traffic signal systems for coordinated arterials.

• Record URL:
  • https://hdl.handle.net/11299/169502
• Record URL:
  • https://hdl.handle.net/20.500.14153/mndot.2982
• Record URL:
  • https://hdl.handle.net/20.500.14153/mndot.4312
• 
• Summary URL:
  • http://www.dot.state.mn.us/research/TS/2014/201439TS.pdf
• Corporate Authors:

  University of Minnesota, Twin Cities

  Department of Civil, Environmental, and Geo-Engineering
  500 Pillsbury Drive, SE
  Minneapolis, MN  United States  55455-0116

  Minnesota Department of Transportation

  Research Services and Library
  395 John Ireland Boulevard
  St Paul, MN  United States  55155
• Authors:
  • Liu, Henry X
  • Zheng, Jianfeng
• Publication Date: 2014-9

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; Photos; References; Tables;
• Pagination: 67p

Subject/Index Terms

• TRT Terms: Algorithms; Field tests; Labor costs; Offsets (Traffic signal timing); Simulation; Traffic signal control systems; Traffic signal cycle; Traffic signal timing
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01551409
• Record Type: Publication
• Report/Paper Numbers: MN/RC 2014-38, CTS Project # 2013041
• Contract Numbers: (c) 99008 (wo) 67
• Files: TRIS, ATRI, STATEDOT
• Created Date: Jan 27 2015 11:23AM