Road Vehicles Traffic Control TRIZ Cases

An AI matching service relocates empty taxis to predicted demand areas using big data analytics.

Telematics control unit stores boundary definitions locally to conserve battery life and wireless bandwidth by transmitting alerts only upon boundary crossing.

Pre-storing position maps on a grid reduces computational complexity for indirect wave detection while maintaining measurement precision.

Real-time resource monitoring adjusts scroll speed and scale factor to prevent blank spaces during map navigation.

A processing system normalizes probe data trajectories to estimate mobile device counts accurately.

Filtering traffic data by severity reduces user confusion from irrelevant events while maintaining comprehensive route coverage.

A transportation demand-and-supply matching system estimates travel demand and proposes provisional routes to balance capacity.

Navigation system isolates rear seat input from driver display to prevent distraction.

Segmented global and local scanning resolves fused contours to distinguish vehicle lights from other sources.

A computer system predicts other vehicle behaviors to adjust autonomous navigation strategies.

An in-vehicle information processor displays traffic signal data when vehicle speed drops below a set limit.

A vehicle speed determination system computes probability distributions of surrounding object intentions to predict motion status variations.

Camera-based traffic sign detection determines alignment relative to the vehicle, eliminating mapping data dependency for dynamic environments.

A mobile monitoring device calculates expected vehicle position and time across separate detection zones to link speed data with camera images.

An angled reflecting layer mixes LED light beams to eliminate color stains caused by uneven device spacing in LCD backlights.

A vehicle control unit adjusts sensor performance to accelerate reactive actions during emergencies.

A configurable wireless device processes event profiles to trigger actions based on geofence classes and attributes.

A vehicle telematics system monitors driving behavior to ensure local traffic rule compliance.

A vehicular warning system preprocesses sensor signals into a structured VRT-X format to predict environmental changes and assign threat levels.

A server registers identification information and detects deviations from normal behavior patterns in captured images to transmit alerts.

A density mapping system allocates values using geodetic distances to generate accurate surfaces.

A radar system combines frequency-modulated continuous-wave and continuous-wave signals to ascertain relative velocity and angle for object classification.

A mobile terminal determines local positions to generate dynamic route information between users.

A modular lighting chassis integrates a pivoting arrow board with secure equipment racks for traffic control vehicles.

Adapting the lidar detection zone to lane width and trace reduces errors on curved paths while maintaining high accuracy.

A road condition prediction method uses historical data and Bayesian classification to determine status.

A communication controller switches operational modes to monitor and repeat control signals at specific frequencies.

Modulating visual aid intensity via navigation data quality compensates for aerodrome mapping errors, reducing pilot distraction from angular misalignment.

A system evaluates cropping heuristics to generate anonymized probe trajectories from mobile sensor data.

A passive optical detector monitors traffic light states without invasive electrical connections.

A wireless gaming system generates personalized alerts via mobile devices to enable remote participation in gambling activities.

A mechanical blocking device opens only when a motor vehicle switches from autonomous to non-autonomous driving mode.

Server-side execution of stored statistical processes resolves the contradiction between zero-footprint accessibility and complex analytical capabilities.

IEEE 1902.1 tags transmit location data to vehicle transceivers, resolving manual inventory effort and RF metal interference.

Segmenting coverage into directional sectors maintains signal reliability in non-line-of-sight regions without increasing system complexity.

Airport baggage tracking system uses RFID readers to monitor luggage movement, resolving passenger information loss without increasing device complexity.

Remote processors fuse probe vehicle sensor data to update maps, resolving accuracy versus complexity trade-offs.

A pilot vehicle emits control signals to coordinate passing maneuvers between approaching and obstructing traffic.

Sensors detect emergency signals and determine source position to guide safe vehicle navigation in high-noise environments.

Server coordinates vehicle cameras to calculate flying object location and altitude using multi-angle detection data.

An information processing apparatus calculates user movement likelihood to automate transportation service dispatch.

Traffic control system coordinates emergency vehicle routing through an intermediary interface, reducing infrastructure complexity.

Controlled vehicles neutralize human-driven anomalies using reinforcement learning, improving traffic efficiency and safety.

A vehicle image processing device estimates visibility distance using radar object detection and camera brightness analysis.

A driver behavior-based parking availability system learns habits to provide real-time predictions.

Precomputed elevation angle vectors enable accurate direction estimation while reducing computational complexity for high-mounted radar systems.

A photorealistic traffic visualization system combines video imagery with GPS data to present three-dimensional road views.