Arrangements For Variable Traffic Instructions TRIZ Cases

External abnormality detection lets an autonomous travel controller bypass center approval and hand movement control to the user when urgency is high.

External sensor coverage and non-measurement zones are overlaid on maps or real-space images to help drivers interpret blind intersections.

Onboard surroundings sensors compare vehicle heading with lane direction to detect wrong-way driving without GPS or map errors.

Direct V2V data enables driving assist, while server-delivered vehicle data is limited to driver alerts to avoid unsafe automatic control.

Broadcast keep-out-zone coordinates from a located transmitter so vehicles can avoid accident or construction hazards as boundaries update in real time.

Fuses onboard sensing, map data, and nearby vehicle sensor feeds to present a clearer road view when fog, rain, or smoke impairs driving.

Point-based road-type recognition distinguishes roadway from sidewalk-like regions so mobile bodies can apply the right speed limit.

Cross-checking communicated and sensed driving data helps identify fraudulent vehicles while reducing manual verification and claims delays.

Severity scoring and risk-area grouping let connected vehicles choose coordinated or individual maneuvers to reduce exposure to unsafe driving threats.

By analyzing preceding vehicle trajectories, the controller finds a collision-free zone beyond the stop line to let emergency vehicles pass safely.

Dynamic smart-contract distance rules adapt to vehicle context and passenger health to improve autonomous traffic safety and security.

V2X-based vehicle detection helps distinguish manually driven cars in poor visibility, enabling safer spacing and smoother platooning.

When doors or windows hide body-mounted images, control shifts or resizes content across visible vehicle panels to maintain display effect at lower cost.

Pre-registered assistance points and influence areas let autonomous vehicles defer unnecessary remote requests and avoid inappropriate operator instructions.

Area sensing and reference comparison verify real obstacles before automated parking guidance, reducing false stops and collision risk.

Real-time wiper and rain sensor signals from connected vehicles let a backend detect local precipitation and alert only relevant drivers.

Notifying nearby vehicles of consecutive planned maneuvers helps them anticipate lane changes, merges, and turns to maintain safe distance.

Brake light detection is cross-checked with headlight state and vehicle deceleration to avoid false braking and improve following control.

Real-time trouble data is sent to an external controller to generate and implement countermeasures for tire, battery, and travel hazards.

Shared recognition levels from nearby vehicles or infrastructure trigger speed, lighting, or data changes to improve vehicle detectability.

Beacon radio signals and antenna orientation enable fast, precise vehicle positioning in narrow areas without repeated camera or sonar remapping.

Traffic light timing, vehicle position, and driving state are combined to stop distracting services while preserving use during predictable stops.