Controlling Traffic Signals TRIZ Cases
- Virtual Traffic Signal Control for Adaptive Intersection Flow
ML prediction and virtual traffic light emulation improve intersection signal timing, reducing delays, stops, and emissions.
- Intersection Traffic Control Signaling for Connected Vehicle Flow
Real-time vehicle intent and signal-phase feedback guide command signaling to improve intersection safety and traffic flow efficiency.
- Electronic Footwear Haptic Navigation With RF Collision Warning
RF detection tags and tactile, audio, and visual cues help footwear guide pedestrians and warn of collisions in obstructed areas.
- Hierarchical AV Control Using RSUs to Cut Onboard Complexity
Roadside units and layered traffic control shift sensing and guidance off the vehicle, reducing onboard complexity while maintaining reliable AV control.
- Distributed Acoustic Sensing for Traffic Queue Boundary Detection
Roadside optical fibre sensing tracks vehicle slowdowns and speedups to estimate queue boundaries for adaptive traffic signal control.
- Intersection Video Traffic Signal Control for Low-Volume Flow
Real-time video detection of vehicles and pedestrians lets intersections adjust signals at low traffic volume and confirm each change.
- Intersection Traffic Control Using Video-Based Conflict Optimization
Video analysis captures vehicles, pedestrians, and cyclists to optimize signal timing and lane control, reducing intersection delays and congestion.
- Virtual Traffic Gate Control for Selective Junction Access
Adaptive signals, message signs, and mobile identity checks let authorized vehicles pass restricted junctions while limiting congestion and protecting pedestrians.
- Traffic Signal Control Using Video and Weather Data Integration
Real-time video and weather analysis enables dynamic traffic signal control for faster accident response, violation detection, and hazard prediction.
- Traffic Signal Timing Using Video Prediction and Feedback
Real-time traffic video and pattern prediction adjust signal timing dynamically to ease congestion, cut waiting time, and reduce operator stress.
- Traffic Signal Phase Control Using Spatiotemporal RL Prediction
A spatiotemporal encoder and return-based decoder improve traffic signal phase decisions while avoiding risky online RL exploration.