Offset optimization to maximize green-time overlap considering a platoon for network signal control

In order to reduce congestion in arterial roads, many researches on corridor traffic signal control for arterial roads have been extensively performed. However, it is difficult to apply those signal control method to urban road network in which most of the links are major roads and none of them has priority for traffic control to one another. To solve the congestion problems in urban road network, the authors would like to propose an algorithm to optimize offset value of each intersection by considering boundary conditions of offset values at adjacent intersections and platoons. A proposed algorithm maximizes the overlap of green-time among adjacent intersections where traveling time of each link should be considered to estimate the green-time overlap and to predict platoons. Traffic simulations were performed using VISSIM, and the proposed algorithm was proved to improve the traffic efficiency. In this paper, simulations were done in the conditions of under-saturated traffics.

• Availability:
  • Find a library where document is available. Order URL: http://www.its-jp.org/english/congress_e/
• Supplemental Notes:
  • Abstract used with permission of ITS Japan. Paper No. 4074
• Corporate Authors:

  ITS Japan

  Tokyo,   Japan 
• Authors:
  • Niimi, Hiromasa
  • Aoki, Naohisa
  • Kamijo, Shunsuke
• Conference:
  • 20th ITS World Congress
  • Location: Tokyo , Japan
  • Date: 2013-10-14 to 2013-10-18
• Publication Date: 2013

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 10p
• Monograph Title: 20th ITS World Congress, Tokyo 2013. Proceedings

Subject/Index Terms

• TRT Terms: Arterial highways; Offsets (Traffic signal timing); Progressive traffic signal control; Signalized intersections; Traffic platooning
• Subject Areas: Highways; Operations and Traffic Management; I73: Traffic Control;

Filing Info

• Accession Number: 01535483
• Record Type: Publication
• ISBN: 9784990493981
• Files: TRIS
• Created Date: Aug 27 2014 10:47AM