Controlling Traffic Signals TRIZ Cases

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.

A monitoring device images traffic signal lamps and compares the visual state with control information to detect abnormalities.

A camera system captures road signs and subtracts motion blur from image segments to sharpen the view for recognition.

A collaborative control system adjusts variable speed limits and ramp metering rates based on real-time traffic analysis.

Synchronizing following vehicles with a lead vehicle reduces time delays at intersections by merging autonomous control into coordinated procession behavior.

A signal control system dynamically adjusts timing based on real-time vehicle and pedestrian movement data to optimize intersection operations.

Curve fitting on traffic volume data determines inflection points for time-segmented signal timing, eliminating subjective manual intervention.

A navigation system plans routes to predefined locations within user-selected regions.

A centralized management system downloads authorized emitter codes to traffic signal preemption controllers across multiple intersections.

A traffic management system calculates flow and configures signaling parameters to optimize vehicle movement.

Wireless transmitter bypasses sound-proof barriers and driver distractions by broadcasting radio frequency signals directly to mobile devices.

Stationary traffic guidance nodes broadcast real-time data to mobile vehicles, resolving infrastructure gaps that limit automated vehicle adoption.

Dynamic traffic control system minimizes overall road network congestion by adapting signal timing based on real-time flow data.

A traffic controller broadcasts synchronized movement values to vehicles for coordinated platoon acceleration and braking.

Wireless communication between vehicles and traffic lights exchanges position data to optimize signal timing, reducing unnecessary stops and fuel consumption.

Roadside units filter vehicle messages to reduce data transmission volume while improving priority passage control accuracy.

Sensors detect queue lengths at each approach, enabling a controller to dynamically adjust right-of-way allocation for optimized traffic flow.

Mobile terminal parameter data triggers fixed terminal communication to adjust traffic sign instructions automatically.

Intelligent control circuit segments driving power into independent modules to isolate faults and maintain signal accuracy.

Embedding sensors horizontally within the road surface improves maintenance accessibility while providing continuous location-specific monitoring.

A strand definition method extends upstream links to capture lane-level traffic data at direction-based traffic intersections.

A roadside communication system uses determination means to identify new signal information before processing.

A vehicle system detects pedestrian crossings by clustering video frames to identify patterns without prior tagging.

Subscription messages filter traffic data at edge nodes, reducing central system computing burden and storage requirements.

A dynamic flashing yellow arrow signal adjusts based on real-time pedestrian detection to maintain permissive left-turn capacity.

Median barriers segment intersections to eliminate stop-and-go traffic, nearly doubling vehicular capacity without widening existing street rights-of-way.

A radar signal device detects pedestrian presence using dual ranges to issue green light demands.

Augmented reality systems merge vehicle camera feeds to reveal hazards blocked by other traffic, reducing accident risks at intersections.

Automated signal light timing control apparatus calculates final passing durations using traffic surveillance data and calibration functions.