Particular Environment Based Services TRIZ Cases

Wireless sensor nodes and a railcar mesh network replace manual train checks, speeding brake component determination and reducing downtime.

Reception waiting time is adjusted from acquired communication information to cut wireless standby power without missing signals.

Redundant network paths and backup firmware versions cut autonomous vehicle FOTA failures and support safe rollback after update errors.

Automatic detection of external devices and contextual events lets vehicles trigger location-based actions or alerts without manual setup.

Antenna switching and angle-of-arrival monitoring help PaaK readers extend access range while resisting eavesdropping and replay attacks.

By using mobile terminal position, quantity, and trajectory data, the vehicle enables low-operation access while preserving authentication security.

Dual authentication combines basic key verification with position, trajectory, or identity checks to block unauthorized vehicle access after phone loss.

Splitting trajectories at visibility-based changing points adds privacy gaps while preserving mobility data utility against background knowledge attacks.

Thresholds on cyclic message counts and response patterns flag vehicle network intrusions in real time without broadening system complexity.

A remote oversight system retracts truck cab footholds when hijacking risk is detected, helping autonomous trucks stay secure and lawful.

A vehicle links to attached items and carried objects to detect sensors or batteries, then adjusts safety zones and resource use.

A bidirectional 12V/24V converter detects communication faults and low-voltage drops, then switches supply paths to keep vehicle loads powered.

Shared vehicle position data enables faster intersection pass decisions, reducing safety check time and collision risk in queued traffic.

Real-time V2X traffic data adapts idle stop and regenerative braking to cut fuel use, jerk, and powertrain wear during deceleration.

Projected control inputs shared across future timesteps let connected vehicles coordinate speed changes and reduce phantom traffic jams.

Dynamic monitoring periods based on vehicle speed and distance help geofence alarms catch entry into the next dangerous area in time.

Wireless control evaluates mission and dolly operating data to locate the best powered dolly for efficient vehicle combination forming.

Tailored cabin notifications use passenger traits and boarding position to reduce anxiety during remote vehicle travel events.

Different sensor data are sent on separate reporting periods to cut redundant transmissions and improve link resource use in autonomous driving.

Attack-path ratings and a shared risk function gate V2V and V2I data use to limit manipulation and unauthorized access.

Stored high-voltage battery SOC lets the vehicle stay asleep until low-voltage recharging is truly needed, reducing battery drain.

A metal cradle, heat sinks, insulation pads, and a light-blocking radome keep a low-profile vehicle roof antenna stable across LTE and 5G.

Digital watermarking tags vehicle data before transmission, enabling later detection of intercepted or misused data outside the vehicle.

A roadside unit coordinates vehicle path plans to cut N:N negotiation time and improve collision avoidance in lane-reduced traffic.

Role-based screen assignment limits which mobile-device messages appear on each vehicle display, reducing driver distraction and privacy exposure.

Dynamic spacing and vehicle order based on load and road conditions help reduce truck platooning accident risk and secondary load-fall damage.

Light, sound, or message signals reveal a vehicle's automated driving state so nearby drivers and pedestrians can react appropriately.

Combining time-of-flight and signal strength measurements helps classify barrier location and material between wireless devices for mapping and proximity use.

Wireless location parameters from road facilities let autonomous vehicles generate virtual lanes when rain, snow, or poor visibility obscure markings.

Seat, key, and driver proximity sensing trigger remote alerts when a child may be left in a vehicle, improving occupant protection reliability.

A split board architecture separates universal control logic from vehicle-specific interfaces to cut adaptation time across vehicle types.

An intermediate vehicle gateway splits external messages for low-memory ECUs while sending full messages to larger units for reliable diagnosis.

An autonomous sensor unit tracks generator operating time from magnetic field and vibration signals, enabling reliable maintenance without wiring.

When a target shoulder stop becomes unreachable, the ADS switches maneuver type or regenerates stopping locations to complete a safer minimal risk stop.

Multiple sharing mode controls let a terminal match vehicle communication options, improving subprogram transfer efficiency and user experience.

User ID checks let a vehicle discard mismatched preference packets, preventing incorrect settings when multiple users share one device.

A smartphone app measures reaction and cognitive responses, then wirelessly enables vehicle starting only when the driver is not impaired.

A reference vehicle coordinates online and offline cars with shared parking guidance, enabling efficient outdoor parking with lower communication burden.

V2X-based driving negotiation messages help autonomous vehicles coordinate minimal risk maneuvers faster when sensor-only intent detection is unreliable.

Selective BLE localization switches from high- to low-fidelity tracking to secure remote vehicle motion while cutting computational load and power use.

Wireless capability ranking reorders caravan vehicles by obstacle type, improving route traversal safety and efficiency.

V2X and high-precision map data help an autonomous vehicle choose key negotiation targets for faster, safer minimal risk maneuvers.

Server-issued encrypted proof lets a TPMS central unit authenticate to wheel sensors securely while limiting data exchange and server load.

Road-structure and stop-time based priority prediction triggers faster avoidance on narrow roads without vehicle-to-vehicle communication.

A roadside unit coordinates planned paths from multiple autonomous vehicles to reduce negotiation time and preserve collision avoidance.

A staged ML pipeline combines anomaly detection with supervised filtering to catch vehicle cyberattacks while reducing false positives.

Bluetooth trailer ID broadcasting and in-cab scanning verify the connected trailer automatically, reducing pickup errors and reporting delays.

Emergency stop alerts are adapted to door automation status, helping remote-controlled vehicle cabins reduce passenger anxiety.

Transferring navigation and user data from a mobile terminal lets the vehicle enable lane keeping, destination suggestions, and personalized functions.

Automatic detection of a pre-specified portable-terminal signal switches vehicle media to Bluetooth audio, cutting manual steps and driver distraction.

A resource scheduler balances application needs, channel errors, and failure feedback to improve reliability for mobile industrial traffic.

A terminal maps second control information after accounting for reference signals and control channels in the sidelink data channel.

This case uses front-loaded CSI-RS feedback to adapt modulation, precoding, and rank for faster, more precise V2X link adaptation.

This RF localization approach uses immobile devices as anchors and automates fingerprint collection for accurate home positioning.

Aggregate data across periodic time resources to reduce header overhead.

SCI-1 stays in the control region while SCI-2 signals optional SCI-3 format in the data region, reducing decoding burden.

High-precision maps, environmental sensing, and predictive models identify changing hazards and trigger alerts near risky areas.