Particular Environment Based Services TRIZ Cases

A V2X handshaking protocol coordinates lane changes through approval messages and distributed conflict resolution, even under packet loss.

Separating sensor and computing interfaces into two transmission units reduces complexity, faults, and diagnosis difficulty in vehicle data links.

Shared V2X messages and onboard sensing are compared to correct distance-related position errors and improve autonomous driving reliability.

Speed limits are tightened when a stopped car's door opens, helping vehicles pass safely while avoiding unnecessary braking.

Wireless signal heatmaps from host and nearby vehicles help qualify remote vehicle services before activation to avoid failures in weak coverage.

Lane connection and road geometry messages help vehicles localize events on changing multi-lane roads without relying on higher-precision GPS.

Local routing policies let in-vehicle gateways switch data to backup links when paths fail or congest, preserving stable low-latency communication.

Seed-based packet scrambling secures automotive sensor bus data against cyberattacks without adding major cost or communication overhead.

A Bluetooth-linked vehicle control system emulates smartkey presence, enabling secure temporary smartphone access for start, lock, and alarm functions.

A lead vehicle moves first into the target lane to hold space for following platoon vehicles, reducing blocked lane changes in dense traffic.

When DoS attacks block V2V and cellular links, vehicles use speakers, microphones, and vibration sensing to send distress alerts by sound.

Software-delivered function data lets a vehicle control unit add or combine in-vehicle functions without installing new hardware.

A trailer-side V2X module enables autonomous low-latency data exchange with road users while improving consistency across towing and trailer systems.

UWB and Bluetooth cycle detection alerts drivers to cyclists in commercial vehicle blind spots, helping prevent collisions.

Behavior scores linked to nearby vehicle identifiers help autonomous driving systems choose safer maneuvers in lane changes and roundabouts.

A dual-mode autonomous vehicle follows a pilot vehicle in complex traffic, using guided cornering with a larger turning radius to cut cost and complexity.

When edge-server links drop, a vehicle-side sub server uses nearby sensor data to keep driving support active and switch back after recovery.

Rotating magnets with changing frequencies let a smartphone estimate in-car position more precisely and resist relay station attacks.

A wired request-response link helps a vehicle identify its trailer's wireless messages among nearby traffic participants for safer trailer assist.

Mobile roadside units add edge computing, sensing, and communication where fixed infrastructure cannot handle dynamic or emergency driving scenarios.

Remote ECU firmware is staged in advance and activated only when the vehicle is stationary and the driver is nearby, reducing labor and disruption.

A vehicle negotiates and pays for route priority to cut congestion delays while balancing travel time, price, and user control.

V2V-based merge planning overlays a virtual target in the driver's view to guide freeway entry when sensors are unreliable.

A standardized car interface enables head-unit replacement without hardware changes, while preserving user settings and adding subsystem connectivity.

When a car enters a motorcycle's blind spot, it sends a warning and can trigger earlier contact-avoidance control to reduce collision risk.

Relative object-age calculation keeps V2X perception messages fresh despite time drift and blocks repeated forwarding of outdated data.

A monitoring unit gates UWB locating signals by time block and band usage limits to prevent overload during vehicle locating sessions.

Wheel speed and wheel-specific acceleration signals classify pothole edge type, depth, and length with lower false detections.

A dual-purpose taxi switches operating state and roof-light signals to unify street hailing and ride-booking dispatch while reducing refusals.

RF tracking of connected devices estimates occupant count, seatbelt use, ejection risk, and vehicle orientation without seat sensors.

Dynamic waiting time and queue detection help automated vehicles avoid unsafe overtaking near junctions and request support when needed.

Wireless trigger control detects motorcycle lane-splitting and prompts nearby vehicles to adjust driver assistance for safer coordinated response.

Terminal position sensing lets a vehicle door lock when one key is left inside and another terminal sends the request from outside.

Regular vehicle messages are cryptographically verified to release components only in the intended vehicle, reducing theft and communication overhead.

A detachable antenna and control module cuts door installation effort while using time-of-flight and multi-radio authentication to resist relay attacks.

Subtle TTC-based visual, audible, and haptic cues warn of collision threats early without causing false-alarm fatigue or driver distraction.

Shared memory and interrupt-based message transfer cut inter-processor latency and support high-speed vehicle communication without lock overhead.

A unified object-model layer lets a main controller link heterogeneous devices without new per-function protocols, cutting cost and complexity.

A cloud server fuses VRU, vehicle, road, and weather data to send vehicle-specific bounding boxes that improve collision avoidance with less OBU processing.

A main control device uses object models and linkage rules to connect mixed-protocol devices without custom protocol logic for each function.

Peer-to-peer blockchain smart contracts let vehicles validate subscriptions and activate ADS features with fewer handovers, lower cost, and better privacy.

Mobile device data and vehicle sensors are combined to predict vulnerable road user intent and improve collision avoidance in autonomous driving.

Driving behavior and sensor data are matched to driver profiles to identify the active driver and enable the right in-vehicle functions.

Selective V2X requests fill occupancy-grid blindspots with remote 3D data, improving perception while limiting bandwidth use.

UWB and heading data localize a phone relative to the vehicle, replacing camera tethering for more reliable remote parking engagement detection.

UWB tags replace dust-sensitive vision and costly inertial sensors to keep underground transport platforms level and stable in real time.

Sensor fusion and V2V/V2X alerts warn trailing vehicles about occluded pedestrians or objects, enabling earlier collision avoidance.

A unified service orchestrator and gateway dynamically route ECU data, reducing collisions and avoiding repeated service redefinition.

Iterative challenge-response checks move user presence validation into the vehicle to avoid mobile OS input errors during supervised remote driving.

Machine-learned ACC adjusts following distance to match driver behavior, improving comfort and trust without fixed gap settings.