Arrangements For Variable Traffic Instructions TRIZ Cases

An excavator-mounted laser rangefinder overcomes GPS signal obstruction to deliver precise three-dimensional feature mapping.

An in-vehicle terminal predicts capacity shortages and queries a center about data necessity, allowing selective discarding of redundant information.

DAZL protocol uses zone-based forwarding to improve vehicular network throughput.

A vehicle control apparatus detects simultaneous brake and acceleration pedal operation to generate distinct driver alerts.

A graphical weather display overlays forecast conditions onto a planned flight path to provide intuitive situational awareness for air vehicle crews.

A mobile device acts as a proxy intelligent transportation system station to relay hazard alerts to non-V2X enabled vehicles.

A vehicle compensation unit associates assistive data with implementation values to mark interpolation accuracy.

A vehicle information system propagates detected environmental discrepancies to peer vehicles using street shadow models.

A vehicle processor modulates received radio frequency signals to transmit dynamic attributes wirelessly.

A V2X system determines road conditions by sharing sensor data and object recognition results between vehicles.

Area feature value prediction units generate individual models for specific vehicles to compute electricity demand at charging facilities.

Portable light detectors convert visual loading dock signals to audio, reducing driver rest time without sacrificing safety.

A driving control device uses vehicle-to-vehicle communication to verify surrounding traffic before executing a lane change.

Adaptive random sampling and priority-based queuing minimize transmission costs while maintaining real-time traffic data accuracy.

Forward and rear movement sensors detect wrong way vehicles on roadways, triggering flashing beacons and sending alerts to operations centers.

A V2X host vehicle broadcasts a tracking message containing target vehicle identification data to nearby nodes.

Segmenting bounding areas by road class allows smaller roads to enter TPEG frames without exceeding payload limits.

A driving support apparatus sets blind angle ranks based on vehicle sizes to provide targeted safety information.

A cognitive data analytics system exchanges real-time content data between vehicular IoT devices using a 5G service orchestration layer.

Integrated vehicle sensors detect icy conditions near doors and alert exiting persons, reducing fall risks through real-time warnings.

A drive assistance device uses multiple monitoring devices to determine the degree of available assistance functions.

Terminal apparatus filters beacon signals using past reception records to present relevant information, eliminating complex radio-wave range adjustments.

A mobility service base server uses vehicle state shadows to filter access requests before transmitting control instructions.

A GPU-based edge computing system analyzes spatial-temporal data to predict road user trajectories, resolving missed collision warnings at intersections.

A traffic data determination system modifies statistical information with real-time condition coefficients to update travel time predictions.

A vehicle display controller presents mobile notifications only when the car is stationary.

A communication device generates a Layer 2 identifier from received radio signals to enable direct vehicle data exchange.

Automatic parking control unit displays progress and remaining distances to the set path during manual vehicle movement.

An adaptive stop sign integrates programmable LED indicators and sensors to function as a dynamic traffic signal during active periods.

A computing device aggregates real-time data from multiple autonomous vehicles to generate an overall indication of road segment conditions.

A driving state monitoring device calculates a driver's line-of-sight range based on acquisition data to determine visual observation coverage.

A vehicle communication control device adjusts generation cycles of subject and nearby vehicle information to align acquisition times.

Wireless communication detects remote vehicle location and speed to trigger door locks, preventing occupants from exiting when collision risks exist.

Recognition unit identifies current geographic area using traffic management characteristics to pre-select relevant data sets for driver support.

A wireless device establishes sessions with traffic detectors to deliver real-time hazard information directly to vehicles.

Sequential indication lamp pulses create a moving visual cue that guides drivers to maintain safe following distances without requiring vehicle-mounted sensors.

A vehicle remote operating system calculates an optimal dispatch position based on passenger location and obstacles to move the host vehicle automatically.

A vehicle communication device transmits recognition data about non-equipped vehicles to V2X-capable neighbors.

A vehicle control apparatus sets notification timing for automated to manual driving transitions using multiple candidate evaluations.

An anomaly detection apparatus groups road side units by traffic data correlation to generate input for an artificial neural network.

A vehicle wireless communication device dynamically selects reception channels based on detected roadway instrument positions and self-vehicle running directions.

Deep learning compresses vehicle status parameters into fewer feature amounts, reducing data transmission volume while preserving essential information.

Shear pin breaks to extend telescoping support tubes that engage a stop plate, preventing angular rotation during impact events.

A map generation device sets integration areas based on calculated distances between vehicles to merge surrounding object data.

Real-time cognitive analysis of driver behavior generates action probabilities, sending targeted warnings to nearby drivers to reduce collision risks.

A receive filter evaluates V2X data packets against signal strength thresholds to discard irrelevant transmissions before processing.

A mobile display device moves to a designated bus stop location to show arrival information for passengers.

A traveling speed control apparatus calculates maximum vehicle speed based on real-time video quality metrics.

A road traffic information device stores and re-outputs received alarm speech via user operation to prevent missed critical alerts.

An on-board unit calculates a suggested speed range based on traffic signal data from multiple intersections to guide vehicle movement.