Road Vehicles Traffic Control TRIZ Cases

A vehicle data analysis system identifies speed check zones using velocity and sensor inputs.

A computing system generates traffic work zone maps by retrieving location-based regulations and required materials via a graphical user interface.

Correlates sensor recordings with positional messages from nearby vehicles to automatically classify objects, eliminating manual data labeling efforts.

A neural network fills gaps in delayed time series data to maintain accurate traffic signal switching time predictions.

A modular traffic monitoring device uses interchangeable holding frames to enable rapid deployment of sensors and energy supplies.

Deep learning models extract brand and color features to improve recognition accuracy when license plates are obscured or distant.

License plate recognition generates unique identifiers for direct vehicle-to-vehicle communication, reducing data latency and message broadcast numbers.

Control circuitry staggers high-side and low-side switch timing to prevent concurrent switching noise amplification on thin ground planes.

Augmented reality interface overlays control graphics onto real-world views to enhance operator situational awareness.

A target-oriented navigation system discretizes perception data into collision probability and potential field arrays to guide vehicles autonomously.

Inclination angle sensors identify curb positions along a learned trajectory to adjust obstacle detection thresholds during automatic retracing.

A lane departure warning system validates candidate regions by comparing distances to previously verified areas.

Second autonomous vehicle relays control messages to a target vehicle using positional tracking and sensor data.

Dynamic recognition periods balance high-speed capture precision against resource consumption by adapting to vehicle presence.

Roadside devices provide pre-stored positioning data to resolve weak GPS signal reliability in occluded environments.

Apparatus optimizes object clusters by identifying rogue tracks and reassigning measurements to determine lane positions.

A system adjusts the gap between parked vehicles to create a safe crossing path for pedestrians and cyclists.

Virtual data links establish reliable communication between disparate vehicle components for accurate pairing.

An AI entry management system uses geofencing and voice recognition to monitor access points.

Nested arrow signals reduce vehicle damage risk by minimizing system height.

A shelving and package locating system associates packages with specific shelf positions using GPS tracking.

Transmitting pattern pointers instead of raw speed segments reduces data volume and bandwidth costs for navigation systems.

A probe data evaluation apparatus generates provisional map data and compares it with reference map data to determine adoption.

A warning apparatus predicts driver responses using stored traffic and travel data to generate tailored alerts.

A vehicle communication device transmits selected situation messages via a wireless radio link based on environmental data.

A unified dispatch system generates optimized load and carrier assignments for bulk asset hauling.

Sensor fusion corrects dead reckoning drift to maintain indoor tracking reliability.

A fleet management server switches between bidirectional and push modes to control travel-permitted segments for mining haulage vehicles.

Predicts future path profiles of vehicles and objects to detect potential collisions early, reducing false alarms in complex traffic scenarios.

A compact telematics unit merges control functions with space-filling curve antennas and a backup power supply for wireless data transmission.

Navigation system monitors driver attention and traffic conditions to provide timely movement indications.

A navigation input method allows flexible switching between destination parameters during character entry.

A rotating selection indicator encloses object indicators on a display to enable precise targeting of graphical elements.

Segmenting sensor status into a dedicated message field enables accurate misbehavior detection by distinguishing intentional faults from hardware failures.

Segmenting the area reduces computational complexity while extending restricted zones accounts for position errors and vehicle sizes.

A dynamic attention capacity monitoring system filters incoming messages based on real-time driver workload assessment.

Pre-computed speed profiles resolve computational complexity in autonomous driving by retrieving stored risk data instead of real-time calculations.

A cooperative parking assist system coordinates parked vehicle movement to create space for incoming cars.

Image-based road sign recognition suppresses false notifications for crossing roads by analyzing sign positions, eliminating navigation device dependency.

Universal microcontroller modules reduce manufacturing costs while maintaining versatility across diverse container handling equipment.

A V2X communication system assesses driving conditions to determine passing maneuver feasibility.

A VHF tower network relays signals between primary and auxiliary locating units to track vehicles.

A vehicle system computes theoretical collision velocity using sensor data to adjust braking commands.

A V2X vehicle control system converts surrounding data into lane information to perform driving assistance.

Matching coefficients of thermal expansion prevent misalignment errors from LED heat dissipation.

Fingerprint scanners on buses identify students while GPS tracks routes, resolving the contradiction between high tracking precision and low device complexity.

A vehicle guidance device acquires mobile body movement information and other vehicle histories to output targeted guidance.

An adaptive motion sensor detects asset movement via vibration signals to trigger position updates only when necessary.