Design and Evaluation of Impact of Traffic Light Priority for Trucks on Traffic Flow
-
2015-06-01
Details:
-
Creators:
-
Corporate Creators:
-
Corporate Contributors:
-
Subject/TRT Terms:
-
Publication/ Report Number:
-
Resource Type:
-
Geographical Coverage:
-
TRIS Online Accession Number:01572458
-
Edition:Final Report
-
Corporate Publisher:
-
Abstract: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.
-
Format:
-
Collection(s):
-
Main Document Checksum:
-
Download URL:
-
File Type: