An Ensemble of Pressure Adaptive Signal Control Algorithms for Urban Traffic Networks

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Authors: Tamojit Ghosh
Cited by: 0

Abstract

This thesis revamps how traffic signals respond to real-time congestion on busy urban roads. It develops Pressure Adaptive Signal Control ALgorithm (PASCAL), a novel max-pressure control method that can flexibly serve the most urgent traffic movements by calculating pressures exerted while still giving fair service to all directions. Two extensions are then introduced: Coord-PASCAL, which creates smoother green waves along corridors, and Transit-PASCAL, which gives smarter priority to buses at the intersections using factors like delay, headway, and passenger occupancy. Simulation on a real Brisbane corridor shows these methods reduce congestion, queues, and delays, especially under heavy traffic.

Fields of Study & Subjects

Traffic control and management Transportation Planning and Optimization Traffic Prediction and Management Techniques

Publication details

Journal / source
Queensland University of Technology
Publication date
1 January 2026
Language
EN
Document type
Thesis