Road Vehicles Traffic Control TRIZ Cases

Detecting distance changes via a wireless link triggers alerts, avoiding complex continuous monitoring that increases energy consumption.

A holder device pivots an electronic screen using servo motors to match user position.

A device calculates dynamic time windows using wind prediction deviations and confidence indices.

Segmenting blockchain nodes into lightweight vehicle clients and centralized servers reduces cryptographic processing time while maintaining communication reliability.

A navigation system determines U-turn necessity by evaluating connection road attributes between divided lanes.

Segmented inductive loops across lanes detect vehicle position and type, resolving miscounting of motorcycles straddling boundaries.

An adaptive sound system generates mood-improving audio from captured traffic noises.

A vehicle control apparatus calculates offsets between detected targets to maintain inter-vehicle distance during signal loss.

Dynamic sensors measure actual bridge clearance to prevent truck collisions caused by outdated static height data.

Display processor overlays landing gear symbols on moving maps, preventing gear stalling during tight taxiway turns.

Onboard unit processes basic safety messages to generate sensory alerts via vehicle mirrors, reducing response time while managing system complexity.

A dynamic synthetic flight display system progressively renders airport features based on aircraft proximity and phase of flight.

An onboard device integrates sensor and communication data to maintain continuous vehicle tracking.

A collision avoidance device computes a dynamic factor to modify navigation paths for autonomous vehicles.

Category-specific regression models use signature regressors to eliminate site-specific calibration requirements for reliable speed estimation.

Distributed camera filtering reduces communication traffic and server processing loads by transmitting only relevant detection information.

A navigation device prioritizes differential map data updates based on calculated arrival times at upcoming intersections.

Mobile nodes act as data couriers to update display units, eliminating high power consumption from continuous receiver operation.

A roadside controller consolidates multiple sign signals via NTCIP transmissions to reduce physical cabinet space.

A traffic message center processes real-time GPS data to provide accurate vehicle location and estimated arrival times, reducing passenger waiting periods.

Undercarriage sensors detect road anomalies via machine learning, enabling dynamic speed and steering adjustments for safer autonomous navigation.

Fleet vehicles report weather data to a central system, resolving the trade-off between position tracking and environmental sensing.

Terrestrial imagery labels aerospace vehicle images to train data-driven models, enabling resilient vehicle identification during terrestrial data outages.

A management system transmits encrypted action information to a target vehicle for secure identification.

Sensor-rich vehicles exchange location estimates and confidence levels via direct V2V communication to enable decentralized cooperative localization.

A vehicle transmission controller predicts speeds for each gear stage to determine optimal gear selection.

Warning devices use radio transmitters and positioning systems to determine mutual positions and transmit specific messages.

A gantry detection method uses road sign position data to identify motor vehicle passage through infrastructure.

A vehicle tracking system switches motion models during collisions to maintain object detection.

A vehicle alarm system adjusts detection thresholds using relative velocity to minimize unnecessary alerts.

Incorporates modular application parts from configuration files into map-based applications to enable intuitive customization.

A driving assist apparatus filters road sign data using speed limit thresholds to prevent erroneous displays.

A vehicle-mounted apparatus uses high-definition maps and camera data to calculate intersection passage capability based on real-time speed.

A graph neural network model converts perception data into spatio-temporal graphs to predict future events.

Identifies vehicle wheels as radar point clusters with varying Doppler rates to estimate position and orientation.

A Global Plane Identification Number system generates unique alphanumeric prefixes and modified serial numbers to identify aircraft.

A smart key recognition processor triggers a sensor unit to acquire and synthesize external images for an automatic parking system.

A vehicle safety system determines a speed limit using depth maps and sensor data to enable safe remote operation.

A data processor determines estimated vehicle position using RFID tag identifiers and inertial sensor data for precise location tracking.

AI escalator detection replaces manual buttons to stop accidents instantly, eliminating human reaction delays.

A control system dynamically assigns vehicle sites based on real-time availability and facility status.

Rear and front vehicle sensors detect side vehicles to warn drivers of blind spots, reducing costs by eliminating dedicated side sensor hardware.

Central server compares vehicle services to inform users of differences, improving satisfaction.

A GPS-integrated camera captures ecological images and retrieves location-based data from a local database for immediate display.

A fuel server monitors powered asset locations and fuel levels to trigger authentication when assets enter a geofenced area.

Display control apparatus generates skeleton marker patterns to represent detected objects in peripheral vision.

An AI-based I/O expansion adapter processes raw sensor data before transmission to telematics devices.

An automated system aggregates return requests and uses AI for product verification to streamline logistics.

A self-reverse lane navigation method dynamically creates a temporary alternative path to guide incoming objects aside.