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.
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
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Corporate Authors:
METRANS Transportation Center
University of Southern California
Los Angeles, CA United States 90089-0626University of Southern California, Los Angeles
Department of Electrical Engineering
3740 McClintock Avenue
Los Angeles, CA United States 90089-2562California Department of Transportation
Division of Research, Innovation and System Information
1727 30th Street, MS 83
Sacramento, CA United States 95816 Office of the Assistant Secretary for Research and Technology
1200 New Jersey Avenue, SE
Washington, DC United States 20590 -
Authors:
- Ioannou, Petros
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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