FIBER OPTIC IMPLEMENTATION OF A CUMULATIVE MOMENTUM MODEL FOR NATURAL URBAN INTERSECTION TRAFFIC MANAGEMENT

In this paper, an urban intersection traffic management model based on the competitive cumulative momentum (CCMV) of vehicles is proposed that will address congestion relief, the prevention of red light running, and bus and truck signal priority in order to reduce excessive idling and delays. The model will be implemented by an in-ground fiber optic load sensor system. In the model, the cumulative momentum values (CMV) of traffic on cross streets at an intersection are compared, and the higher CMV value commands the green traffic signal. A related static cumulative mass or weight (CM) model will be employed to manage pedestrian crossing traffic and vehicle traffic in left turn lanes at intersections with two-way traffic. The combined CCMV and CM model replicates precisely the way traffic police manage intersection traffic. The green will lower the CMV of a street, while traffic in the cross street continues to build. When these two discrete values cross, then so will the command of the green. This competitive process allows traffic flow to alternate at an intersection based on traffic volume. The CM model will determine when cumulative weight in left turn lanes and at the curb of pedestrian crossings should trigger the green. A kinetic energy model is also proposed to emphasize speed-controlled traffic signal in the case of speeding vehicles that may run a red light. The proposed fiber optic load sensor systems are commercially available and are capable of performing axle detection and counting, speed measurement, gap measurement, and vehicle classification and recognition. These in-ground systems can be installed flush with road surface and are both cost-effective and durable.

Language

  • English

Media Info

  • Features: Figures; Tables;
  • Pagination: 12p
  • Monograph Title: MID-CONTINENT TRANSPORTATION RESEARCH SYMPOSIUM (AMES, IOWA, AUGUST 21-22, 2003). PROCEEDINGS

Subject/Index Terms

Filing Info

  • Accession Number: 00964681
  • Record Type: Publication
  • ISBN: 0965231062
  • Files: TRIS
  • Created Date: Oct 8 2003 12:00AM