Design and Evaluation of Impact of Traffic Light Priority for Trucks on Traffic Flow

This study investigates the presence of trucks in intersections with traffic signal priority with the objectives of minimizing vehicle delay and reducing emissions. Extending the green cycle to allow heavy trucks to move through the intersection instead of forcing them to stop and start again is better for all vehicles involved. The system is similar to transit signal priority systems. Two different controllers are proposed: a neural network-based controller and one based on integrated priority strategies. The first controller uses a neural network approach to model the vehicle delays by distinguishing between different classes of vehicle and optimization to reduce the vehicle delays by properly controlling the traffic signals. The controller is adaptive since the delay prediction model is updated once new data is obtained from the infrastructure. The second controller uses a combined passive and active strategy in order to minimize delays. It gives priority to trucks in certain situations if such an action benefits the overall system. Both controllers have been evaluated using a microscopic traffic flow model for a single intersection and a network of intersections.

• 
• Summary URL:
  http://www.metrans.org/research/usc-2-1b-design-and-evaluation-impact-traffic-light-priority-trucks-traffic-flow
• Summary URL:
  https://www.metrans.org/research/usc-2-1b-design-and-evaluation-impact-traffic-light-priority-trucks-traffic-flow
• Record URL:
  http://www.metrans.org/sites/default/files/research-project/Final%20Report-IOANNOU%20July%2025_2015.pdf
• Record URL:
  https://www.metrans.org/sites/default/files/research-project/Final%20Report-IOANNOU%20July%2025_2015.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/29105
• Summary URL:
  https://rosap.ntl.bts.gov/view/dot/67705
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  METRANS Transportation Center

  University of Southern California
  Los Angeles, CA  United States  90089-0626

  University of Southern California, Los Angeles

  Department of Electrical Engineering
  3740 McClintock Avenue
  Los Angeles, CA  United States  90089-2562

  California Department of Transportation

  Division of Research, Innovation and System Information
  1727 30th Street, MS 83
  Sacramento, CA  United States  95816

  Department of Transportation

  Office of the Assistant Secretary for Research and Technology
  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Ioannou, Petros
  • 0000-0001-6981-0704
• Publication Date: 2015-6-15

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Figures; References; Tables;
• Pagination: 35p

Subject/Index Terms

• TRT Terms: Microscopic traffic flow; Microsimulation; Optimization; Signalized intersections; Traffic models; Traffic signal priority; Trucks
• Subject Areas: Data and Information Technology; Freight Transportation; Operations and Traffic Management; I72: Traffic and Transport Planning; I73: Traffic Control;

Filing Info

• Accession Number: 01572458
• Record Type: Publication
• Contract Numbers: DTRT13-G-UTC57
• Files: CALTRANS, UTC, NTL, TRIS, RITA, ATRI, STATEDOT
• Created Date: Aug 7 2015 10:12AM