Particular Environment Based Services TRIZ Cases

Adding accuracy indicators to predicted maneuver timing, position, and trajectory helps vehicles negotiate coordinated actions more safely.

Periodic duplex Bluetooth packets let TPMS sensors locate wheels faster, avoid repeated transmissions, and cut power use during stops.

Broadcast-based app cards let multiple third-party mobile apps continue on an in-vehicle display without changing the phone interface.

A gateway converts functional addresses so diagnostic messages reach all vehicle control units across different manufacturers without redesign.

By comparing leading-edge position with wayside signals, this case reduces false stop or proceed commands caused by GPS and wheel errors.

Short BLE beacon identifiers and sensor validation enable secure mobile ID authentication while reducing power use and extending battery life.

Frequently matched vehicle communication rules are cached to detect cyberattack anomalies accurately without exhaustive rule checks or redundant definitions.

Video-based detection identifies a preceding vehicle's brake light failure and sends an in-vehicle alert to reduce missed malfunction notices.

When VMC sub-tasks threaten EV range, tasks are predicted, deferred, and reassigned to other vehicles to preserve battery charge.

A VMC manager assigns or defers EV tasks by battery state of charge, preserving driving range while keeping vehicles active in shared computing.

Predicted obstacle positions and adaptive acceleration help autonomous vehicles complete safe lane changes in congestion without relying on other drivers.

A VSS tree with inherited permission maps controls read/write access to vehicle signals, reducing security risk without heavy admin overhead.

Fleet traffic and lane-change success data help automated vehicles choose earlier exit-lane merges with better safety, comfort, and flow.

Sensor-based approach detection starts vehicle UWB ranging only when a person nears, improving passive access and cutting false initiations.

Multi-vehicle sensing data is matched and filtered to correct single-vehicle perception and improve detection accuracy in complex road conditions.

Dynamic route deviation scoring updates driving rules when vehicle gaps shrink, enabling compliant lane changes and safer autonomous control.

Real-time compliance estimation from connected vehicles lets traffic instructions adapt to driver behavior, improving safety and flow.

Using UV-C scattering, low-power transceivers, and Kalman filtering, this case improves V2V reliability without RF interference.

Combining biometric signals with speech analysis helps detect driver condition more accurately and tailor alerts to cognitive state.

Operators can draw precise GPS geofences from the vehicle to block access to greens, tee boxes, hazards, and other sensitive areas.

Imprecise vehicle location with noise and delay protects privacy while still enabling secure virtual key access.

Dual authentication combines mobile key data and trajectory checks to block unauthorized vehicle access without extra hardware.

Using V2V links such as WLANp or C-V2X, the trailer exchanges CPM and CAM data to cut extra hardware while improving maneuvering awareness.

Shared memory and container-based network switching cut inter-processor latency and avoid separate VM network setup in vehicle communication.

Timed reminders use lock status, user location, and receipt signals to prevent packages from being forgotten in a vehicle cabin.

V2X data and machine learning coordinate ADAS behavior to satisfy driving needs while guiding vehicles toward collision-free regional trajectories.

Statistical monitoring of in-vehicle message timing and counts improves detection of unauthorized frames that mimic service or relay requests.

Approach detection triggers stealth, panic, or show-off entry modes to personalize vehicle activation while limiting battery drain and unwanted attention.

Wireless controls disable selected phone functions in schools, vehicles, and venues while preserving access for emergencies and compliance.

A detachable tablet and core processor split vehicle tasks to enable secure updates, flexible hardware refresh, and protected control functions.

Virtual vehicle V2X messages reserve adjacent path positions in sequence, helping ADAS coordinate lane changes and avoid collisions.

Before autonomous travel starts, the system verifies an in-cabin portable terminal so vehicle alerts can reliably reach the driver.

Scene-based mode switching and localized shielding reduce millimeter-wave radar noise to keep mobile terminal positioning accurate.

By estimating when another vehicle may block road signs or landmarks, the controller adjusts travel plans to keep key targets visible.

A speed-aware cargo door warning mode alerts PBV drivers and can restrict driving when an open compartment door raises accident risk.

Onboard sensors and AI detect overtaking intent early, then adjust vehicle trajectory to enable safe passing or deter collision-prone maneuvers.

Infrastructure sensors and a learning model calibrate steering angle offset wirelessly, cutting vehicle-specific setup time in manufacturing.

Shielding-aware signal correction improves vehicle lock release accuracy when radio strength alone misjudges terminal position.

Precomputed ECU update sequences shift planning to the center, cutting OTA master load, update time, and vehicle function restrictions.

A retro-directive array with negative-index materials enables narrow-beam vehicle radar and V2X links without complex scanning hardware.

Mobile sensor position and motion patterns verify user intent for door and engine control when wireless signals are distorted by electromagnetic interference.

Selective sharing of in-cabin images, exterior views, and voice improves remote boarding presence while managing privacy and transmission load.

Distinct speaker tones and a paired mobile device locate which seat a vehicle user occupies without cameras or extra sensors.