Traffic lights that react to the queue: YOLO vehicle counts from one camera drive a max-pressure signal controller, with ambulance preemption
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Updated
Nov 8, 2026 - Python
Traffic lights that react to the queue: YOLO vehicle counts from one camera drive a max-pressure signal controller, with ambulance preemption
Reproducibility code for Transit-MP: Transit-prioritized max-pressure control in sparse connected vehicle environments.
Reliability-weighted max-pressure control from degraded camera counts: standard controllers, a fuzzy green-split controller and emergency-vehicle preemption in SUMO
Adaptive fuel-weighted traffic signals in SUMO — pressure by idle fuel class, locked benchmarks, YOLO CCTV feasibility demo
Deep Q-Learning (DQN) for traffic signal control in SUMO: a Gymnasium environment, max-pressure and fixed-time baselines, and a reproducible held-out evaluation. A clean starting point for RL course projects.
Max-pressure signal control with fuzzy anti-spillback regulation and emergency preemption, benchmarked in SUMO.
Microscopic traffic-intersection simulator in Rust. Compare fixed-time, actuated, max-pressure, predictive (MPC) and deep-RL signal control under realistic sensors, pedestrians, buses and corridors, and see the delay each person experiences. Runs in your browser via WebAssembly or on the desktop.
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