Traffic signal coordination and queue management in oversaturated intersection.

Details

• Creators:
  Hajbabaie, Ali ; Medina, Juan C. ; Benekohal, Rahim F
• Corporate Creators:
  Purdue University ; NEXTRANS Center (U.S.)
• Subject/TRT Terms:
  • Traffic signal control systems
  • Oversaturation (Traffic flow)
• Resource Type:
  Tech Report
• Geographical Coverage:
  North Central States
• Corporate Publisher:
  Purdue University ; NEXTRANS Center (U.S.)
• Abstract:
  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).
  More +
• Format:
  PDF
• Funding:
  NEXTRANS Project No. 047IY02
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/20576/dot_20576_DS1.pdf
• File Type:
  [PDF - 759.02 KB]
• Collection(s):
  University Transportation Centers ; US Transportation Collection
• Main Document Checksum:
  urn:sha-512:448e62b5d48169717feb0f2fc501478bf4d58b3fe730e8c18fbd2aa0453eade05ea6aaa9cf468e4e04a57aa4ed4638a46a36910a226811fe4867034b5dfc7649