A self-configuring traffic signal controller adjusts phase timing using real-time vehicle trajectory data from radar or video sensors.
Variable speed limit signs guide drivers to match traffic light schedules using pre-programmed data stored in autonomous controllers.
Analyzing vehicle positional data from mobile devices predicts future signal transitions, avoiding clock inaccuracies inherent in fixed sensor systems.
A marking device dynamically illuminates pedestrian crossings using light sources triggered by detection sensors.
A traffic control system adjusts signal timings dynamically using real-time vehicle detection data to manage intersection flow.
Visual alarm lights replace ineffective sirens in noisy warehouses, preventing collisions at blind intersections caused by dense shelving.
Advance notifications during yellow phases reduce driver reaction time and minimize intersection delays.
Traffic-infrastructure unit detects vehicles and road users to determine danger potential based on position, movement direction, and velocity.
A road lighting system uses a projection unit and wireless sensor data to control light output.
An impact sensor triggers a remote monitoring unit to disconnect power from street furniture components upon collision detection.
A vehicle data transceiver system stores and transmits situation data using a database and display unit.
In-vehicle devices request traffic signal priority adjustments to maintain vehicle group continuity at intersections.
A biometric authentication system manages traffic signal controller configurations by verifying personnel identity before granting operational privileges.
Aircraft display module uses a control unit and storage device to render passenger-specific information dynamically.
A connected vehicle system analyzes real-time traffic data to generate intersection scores for signal timing evaluation.
Roadside equipment determines vehicle lane assignment using wireless data and coordinate transformation.
A control system acquires dynamic vehicle characteristics to determine traffic flow and calculate entry parameters.
A traffic control system detects patterns in sensor data to dynamically adjust signal timings for improved flow efficiency.
Dual optical and radio signals enable precise vehicle identification at intersections, reducing signal collisions and improving traffic flow efficiency.
Dividing the laser radar detection region into specific zones resolves the contradiction between wide coverage and precise lane-level direction tracking.
A universal attention-based reinforcement learning model handles diverse traffic intersection configurations through dynamic state and action weighting.
Wireless push buttons relay activation requests to integrated receivers, enabling visually impaired users to trigger crosswalk signals from a distance.