Traffic Signal Coordination and Queue Management in Oversaturated Intersection

Traffic signal timing optimization when done properly, could significantly improve network performance by reducing delay, increasing network throughput, reducing number of stops, or increasing average speed in the network. The optimization can become complex due to large solution space caused by many combinations of different parameters that affect traffic operation. In this study three different methods are used to find near-optimal signal timing parameters in transportation networks. The methods are: Genetic Algorithms (GA), Evolution Strategies (ES), and Approximate Dynamic Programming (ADP). Each method is introduced, the signal timings associated with them are explained and some important measures of performance of the networks are determined and compared. One small network with 9 intersections and one medium network with 20 intersections were used for evaluating the optimizations methods. Three general cases (Cases 1, 2, 3) are discussed in this report. For the small symmetric network, three levels of traffic loading are used (no overload, 10% overload and 20% overload). For the medium network (modified Springfield IL downtown network), two levels of entry volumes are used (750 and 1000 vehicle per hour per lane).

• Record URL:
  http://www.purdue.edu/discoverypark/nextrans/assets/pdfs/Year%202%20Final%20Reports/Final%20Report%20047.pdf
• 
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/20374
• Supplemental Notes:
  • This research was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University of Illinois, Urbana-Champaign

  Department of Civil and Environmental Engineering
  205 North Mathews Avenue
  Urbana, IL  United States  61801-2352

  NEXTRANS

  Purdue University
  3000 Kent Avenue
  Lafayette, IN  United States  47906-1075

  Research and Innovative Technology Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Hajbabaie, Ali
  • Medina, Juan C
  • Benekohal, Rahim F
• Publication Date: 2011-3-18

Language

• English

Media Info

• Media Type: Web
• Edition: Final Report
• Features: Figures; References; Tables;
• Pagination: 108p

Subject/Index Terms

• TRT Terms: Genetic algorithms; Intersections; Optimization; Saturation flow; Traffic delays; Traffic oversaturation; Traffic signal control systems; Traffic signal timing
• Uncontrolled Terms: Throughput (Traffic); Traffic networks
• Geographic Terms: Springfield (Illinois)
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01344856
• Record Type: Publication
• Report/Paper Numbers: NEXTRANS Project No. 047IY02
• Contract Numbers: DTRT07-G-005 Grant
• Files: UTC, NTL, TRIS, USDOT
• Created Date: Jul 20 2011 7:24AM