Road Vehicles Traffic Control TRIZ Cases

A vehicle allocation device selects vehicles with advanced learning progress for user requests.

A camera system captures license plate images to identify vehicles and trigger pre-authorized payments via a profile server.

A wireless communication apparatus calculates assessment values representing logical proximity to a master node to determine transmission paths.

A vehicle computer detects visual signals and kinematic data to actuate lane changes based on received permissions.

Embeds the optical reader within the barrier shaft to eliminate separate installation structures and reduce system complexity.

A mobile communication device adjusts data reception volume based on its battery charge state.

A control device updates steering angle ranges based on vehicle travel direction to maintain accurate path estimation.

A driving support device selects alert timing based on crossing object speed to ensure timely collision avoidance.

A road hazard detection system uses sensor fusion to identify environmental risks and issue timely warnings.

Information system manages collection delivery requests by acquiring parking position data and analyzing route attributes for vehicle access.

Driver assistance system queries external databases for real-time traffic and weather data to select safe roadside parking locations.

A wireless communication apparatus transmits position information to a server to receive quality data for scheduling transmissions.

A central computing device coordinates smart traffic signals using machine learning models to reduce delays and improve flow efficiency.

A control device calculates alternative trajectories using weighted disturbance factors to optimize vehicle and occupant comfort.

A driver assistance system generates confirmation signals based on operating data analysis to verify traffic light selection accuracy.

A drawing processing apparatus moves a sector-shaped 3D map range using position-dependent movement amounts to maintain consistent visual speed.

Electronic registration plates display randomly generated numbers to prevent location tracking while reducing energy consumption through periodic activation.

Block-level edge direction derivation groups tilted vehicle regions into trajectories, resolving histogram accuracy limits on inclined surfaces.

A vehicle computer system receives wireless emergency alerts and compares current location data against alert area coordinates to generate relevant maps.

An image processing device groups positive and negative edges to set boundary lines.

A mobile terminal receives estimated time of arrival updates from a central processing unit.

A motor vehicle determines a communication network plan and unique transmission path using relay messages from outside vehicles.

Portable device electronic identifier couples to vehicle data processing unit for secure user account creation and network connection establishment.

A traffic image-capturing unit network detects vehicles of interest using a centralized server and dynamic search area module.

A single camera module uses a color filter array with infrared, red, green, and blue filters to capture visible and infrared light simultaneously.

An information processing system adjusts task output thresholds based on real-time driving load to manage driver response expectations.

A server collects passenger boarding and alighting data to send stop instructions directly to buses.

A tracking method adjusts monitored space granularity based on entity proximity to optimize resource usage.

Periodic monitoring adapts to driver class, reducing energy consumption while ensuring critical safety notifications reach the user.

Event-triggered dynamic landmark creation system records supervisor visits at changing job sites without pre-defined locations.

A vehicle sign output apparatus uses time-integrated yaw rate measurements to manage information display timing.

Dynamic resource reallocation in a dual-mode adaptive radar resolves the trade-off between highway efficiency and pedestrian detection accuracy.

Portable device sensing system detects motion and audio signals to generate automatic assistance requests.

A telematics system delivers personalized web content to drivers through auditory output.

A vehicle sign display apparatus simplifies detected traffic information by reducing character counts and converting symbols for clearer presentation.

A deep reinforcement learning network correlates vehicle state variables with control outputs to generate lane changing decisions.

A probabilistic estimator tracks traffic signal candidates across image frames to improve recognition accuracy.

Monitoring apparatus determines valid target objects using maximum range and detection duration criteria.

A distributed sensor network uses MIMO antenna arrays to estimate vehicle direction of arrival and time delay.

Dynamic map elements on mobile devices enable user-initiated communication sessions through interactive graphical markers.

Processor module manages non-navigation application access via trial periods and activation codes.

A control unit switches a vehicle turning camera and display on or off based on speed and turn signal data.

A geo-tagged vehicle-to-vehicle communication system broadcasts leader instructions with GPS coordinates to follower vehicles.

A notification device communicates an autonomous vehicle driving mode to nearby vehicles using sensor-based distance detection.

A vehicle route guidance system determines a deviation zone from detected trajectories to establish clear trajectory stipulations.

A map display shows current and previous device positions simultaneously using distinct visual icons.

Information processing apparatus detects wireless communication interruption risk from low battery levels in user terminals.

UV projector excites segmented phosphors on the glass, maintaining transparency while displaying infotainment.

A parking space identification system segments around-view images into grids to determine spaces via semantic analysis.