A NEW ALGORITHM FOR OPTIMAL SIGNAL CONTROL IN CONGESTED NETWORKS

Optimization of traffic lights in a congested network is formulated as a linear programming problem. The formulation adapted here takes into account particular capacity constraints for road links and for intersections. A necessary prerequisite for the determination of optimal green times is that representative a-priori information about the origin-destination and route choice pattern inside the network is available . Because any particular control strategy temporarily alters the effective turning rates at intersections, an iterative procedure is proposed here which accomplishes convergence of optimal signal control and resulting O-D flows. The efficiency of this optimization procedure is demonstrated in a case study for a network with 15 intersections.

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/oclc/5121625
• Corporate Authors:

  Institute for Transportation, Incorporated

  1410 Duke University Road
  Durham, NC  United States  27705
• Authors:
  • Eddelbuttel, J
  • Cremer, M
• Publication Date: 1994-12

Language

• English

Media Info

• Features: References; Tables;
• Pagination: p. 275-297
• Serial:
  • Journal of Advanced Transportation
  • Volume: 28
  • Issue Number: 3
  • Publisher: John Wiley & Sons, Incorporated
  • ISSN: 0197-6729
  • EISSN: 2042-3195
  • Serial URL: http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2042-3195
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Capacity restraint; Optimization; Origin and destination; Route choice; Signalization
• Subject Areas: Highways; Operations and Traffic Management; I70: Traffic and Transport;

Filing Info

• Accession Number: 00667309
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 10 1994 12:00AM