Author: Mayur Vaghasiya
Vaghasiya, Mayur, 2024 “Modelling and Evaluating Signalized Intersection Performance: 'A Sidra-Based Approach Using Scat and Bluetooth Data”, Flinders University, College of Science and Engineering
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Abstract - Urban traffic congestion presents significant challenges to efficient road operations and environmental sustainability. This thesis investigates how signal coordination and Bluetooth data integration affect traffic flow optimization, collision performance, and environmental sustainability along Adelaide's Green Hill Road Network and intersections.
The research project begins with a thorough literature review, which analyses signal coordination techniques, traffic management strategies, and simulation methodologies used in various urban areas, focusing on high traffic Flow and Traffic Congestion. It highlights the importance of innovative traffic management approaches while identifying gaps in current research.
The research uses Sidra Software to evaluate signal coordination strategies at three signalized intersections Network One intersection at the corner, the busiest one on Green Hill Road. Traffic performance indicators are used to evaluate the effectiveness of signal timing optimization in reducing congestion, travel delays, and environmental emissions.
Furthermore, the thesis analyses the integration of SCAT (Sydney Coordinated Adaptive Traffic System) and Bluetooth data for real-time traffic monitoring and signal optimization. By combining traditional SCAT design with Bluetooth's low-cost data collection capabilities, the study expects to increase signal timing precision and overall traffic management efficiency.
The findings highlight the benefits of modern traffic data collection methods and demonstrate the potential for data-driven urban traffic management. This research helps to reduce congestion, improve road operations, and reduce the environmental impact of urban areas by optimizing signal timing and traffic management strategies.
Keywords: Signal coordination, traffic management, SCAT, Bluetooth data integration, traffic signal optimization, traffic flow analysis, Sidra software, urban traffic congestion, collision performance, and environmental sustainability.
Subject: Engineering thesis
Thesis type: Masters
Completed: 2024
School: College of Science and Engineering
Supervisor: Rocco Zito