Road Vehicles Traffic Control TRIZ Cases

Decomposes bulk ingested internet traffic to predict outage data loss, preventing overestimation from weak periodicity patterns.

A vehicle assistance system segments passing maneuvers into distinct statuses to deliver tailored driver information.

Exterior display apparatus identifies registered users to present personalized information via preset states.

Segmenting the protective shell from the support structure minimizes wave loss while maintaining mechanical strength for reliable operation.

A roadside transceiver detects signals from an approaching emergency vehicle and triggers a display to show alert information.

A radar device uses a gravity sensor to detect installation tilt and automatically adjust measurement parameters.

A vehicle fire avoidance alert system transmits detection data to drivers.

A vehicle control device limits automatic driving in sections with temporary road changes to reduce unnecessary data transfer.

Segmented components and integrated lighting resolve the trade-off between structural stability and minimal storage volume.

A vehicle identifying device estimates target vehicle behavior using map information to determine automatic driving status.

A biometric identity card and container security device enable real-time location tracking.

System analyzes stop frequency and variability metrics from GPS event data to automate geofence categorization, eliminating manual fleet management efforts.

An information processing apparatus captures and provides images of an on-demand bus exterior to a user terminal.

A vehicle tracking system central host manages data streams using a memory cache processor and parallel receiver ports.

A computer-implemented component database records injection molding assembly configurations, reducing setup time and errors during mold changes.

A navigation system determines vehicle driving direction using lateral position data and map link half width.

A vehicular monitoring device re-executes eye opening degree measurement when initial detection fails.

Intermediary vehicles forward search requests and location data to track stolen objects when direct connections are deactivated.

A dual sensor localization system captures wide field of view images to identify features before high resolution sensors lock onto targets.

Intelligent scheduling table generation method integrates multi-source data for bus operations.

Segmenting 3D environments into 2D layers reduces computational burden while maintaining navigation accuracy.

A lane change prediction model extracts features from raw driving data to train an LSTM network for automated vehicles.

Computational analysis of a scanned track model generates pace notes for multiple trajectories, eliminating the need for full-speed physical data collection.

Dynamic selection among cellular, Wi-Fi, and Bluetooth technologies manages complex node arrays while maintaining reliability of critical messages.

A geolocation-based mobile alert system detects events and sends targeted notifications to nearby devices using GPS tracking.

A transit vehicle geolocation system leverages passenger mobile devices to determine position through terminal interactions.

A V2E communication system exchanges real-time data between vehicles and local sensors via wireless networks.

High-frequency sampling at speed thresholds identifies coupled assets via matching velocity profiles, resolving synchronization issues in mixed fleets.

A park-assist system evaluates door opening angles to select parking spots.

Network-based tracking system awards units for transit utilization, resolving the contradiction between incentive effectiveness and system complexity.

Rasterized LIDAR data processed by a neural network detects lane boundaries, improving accuracy in occluded environments.

Server adjusts service properties using user feedback to calculate impact factors, resolving mismatched requests and low satisfaction.

A vehicle processing unit calculates a confidence index to validate external database road datasets against internal sensor data.

Actuator applies counterforce to the accelerator pedal, reducing fuel consumption by avoiding unnecessary braking cycles.

A vehicle guidance system provides real-time path recommendations to drivers using transceivers and controllers.

Multi-view feature extraction generates unique vehicle identifiers from camera imagery, resolving tracking inaccuracies caused by occluded license plates.

Dynamic priority states allow drivers to actively choose when to yield, reducing collision risks and congestion during highway merges.

A vehicle control device executes evasive preparation upon sensing relative motion of a monitoring target vehicle.

A traffic light control system uses broadcast signals to calculate distance and halt intersection flow for emergency vehicles.

Physical layer packet structure bypasses middleware initialization to reduce startup time and power consumption during emergency alert delivery.

A vehicle lane assessment method fuses multi-source sensor data with digital maps to determine directional status.

A computing system evaluates lane change feasibility using sensor data to generate abort motion plans.

A single inductor detects cart movement direction by measuring a vector magnetic field component generated by a buried cable.

Proximity sensors monitor mobile unit locations to generate real-time collision alerts, reducing operator workload and preventing excavator damage.

A server generates a geographic polygon for an incident impact area and overlays it on a cellular map to transmit alerts.

A vehicle driver assistance system detects road signs and lane indicators to identify local traffic rules.

A driving support system uses direction and identity units to verify object matches between sensors.