Computational modeling demonstrates reduced vehicle delays at congested intersections, indicating an efficient alternative to traditional traffic signal timing methods.
Key Points
To develop an accurate and simplified calculation algorithm for determining optimal traffic light cycle durations and signal phases under heavy traffic conditions.
Developed an empirical mathematical model incorporating intersection geometry, traffic dynamics, lane-specific flow rates, directional separation, and pedestrian movement requirements.
Engineered the algorithm for rapid pen-and-paper manual verification and implemented it within the specialized software program 'Traffic Light Object Calculator.'
Compared system performance and vehicle delay metrics against classical traffic control methodologies, including Webster's method.
Significantly improved intersection throughput capacity and lowered vehicle congestion levels compared to traditional timing methods.
Achieved substantial reductions in vehicle delay indicators by optimizing cycle period lengths and balancing individual green-phase allocations.