Road Vehicles Traffic Control TRIZ Cases

A mobile object locator key fob determines range and bearing to a vehicle using radio frequency signals from a rotating signal antenna.

Augmented reality displays project real-time road data to non-autonomous vehicles via secure communication protocols.

Adaptive localized notifications select cabin output devices based on detected object position to deliver precise spatial alerts.

A beacon transmits GPS coordinates to a receiver that calculates distance and direction for alerts.

An ECU switches between radar and camera position data based on signal reliability, suppressing erroneous roadside object detection.

A display controlling unit positions map icons behind vehicle data on a single panel to prevent visual obstruction.

Remote renumbering through a centralized server resolves manual processing bottlenecks while maintaining law enforcement tracking capabilities.

Sharing sound samples across vehicles improves noise source identification precision while avoiding centralized processing delays.

Protruding ridges on the masking plate disperse reflected light upward, suppressing glare and improving visual recognition of LED traffic signals.

A vehicle control device sets a token-related mode to exchange tokens between vehicles via communication units.

Merging radar sensors and cameras into single elevated housings reduces system complexity while maintaining comprehensive obstacle detection coverage.

Timer delays emergency communication after user selection, allowing occupants to cancel false activations and reducing penalty risks.

Neural networks generate spatiotemporal costmaps to guide ego agent navigation, resolving unusual behavior patterns that compromise safety and efficiency.

Dynamic frame rate control improves detection accuracy at high speeds while managing computational load through segmented processing.

A vehicle monitoring system uses GPS and accelerometer modules to track driver behavior and transmit data for real-time analysis.

A cognitive system generates dynamic image overlays to assist users with color vision deficiencies.

A probe vehicle traffic data system authenticates source identity while preserving anonymity through distributed processing.

A roadside equipment selection system filters data sources using geometric relevance and security validation.

Traffic signal controllers adjust phase times within a single cycle to implement new control plans.

Microwave sensors and image recognition reduce false alarms from animals while enabling remote support deployment for retrofitted vehicles.

Self-driving vehicles exchange planned route data and receive agreement notifications to resolve traffic bottlenecks caused by static threshold controls.

A count regression model analyzes historical incident data to forecast future transportation system disruptions.

A vehicle position calculating apparatus detects the advancing direction of a vehicle to compute its current location based on relative change information.

A mission planning system divides search areas into subregions for optimal vehicle assignment and path calculation.

Segmenting object determination tasks across multiple vehicles balances computational workload against communication delay for accurate sensing.

An external module provides vehicle ADAS functions via a data interface and processor, enabling older vehicles to access advanced driver assistance systems.

A vehicle control apparatus uses a training mode to display guidance and learn user voice features.

A collision prediction system evaluates vehicle separations and speeds to detect convergence patterns across multiple lanes.

A navigation system temporarily invalidates travel history data linked to changed map sections.

A dispatch control system calculates stochastic characteristics from historical attendance data to generate optimized scheduling processes.

Aggregating multi-camera inputs into a synthesized bird's-eye view eliminates blind spots caused by finite display areas, ensuring secure object detection.

A dynamic vehicle identification system combines location and time data with cryptographic signatures for secure authentication.

Manages intersection traffic signals via real-time priority requests, resolving emergency response delays while maintaining flow stability.

Aggregated location data enables dynamic routing recommendations that reduce congestion and balance wait times across crowded venues.

Risk regression analysis selects optimal autonomous vehicles, resolving deployment speed versus safety reliability contradictions.

A vehicle emergency call device converts measurement data into voice information for transmission over a single communication channel.

A positioning system calibrates past trajectory estimates using real-time sensor data to improve location accuracy.

A driver inattentiveness detection system acquires photographed images to determine gaze direction for state assessment.

A scenario-aware perception system selects preferred detection algorithms based on current traffic conditions to identify proximate objects.

Multi-sensor fusion categorizes out-of-range hazards, enabling wireless transmission to extend detection beyond physical sensor limits.

A vehicle blockchain history management system generates master blocks and stores distributed backup blocks across nodes to enable data recovery.

A multi-resolution video analysis system extracts key vehicle features at high resolution while subsampling the rest of the stream.

A control device projects criticality functions to determine starting points for warning, partial braking, and emergency phases.

A display control device alters visual attributes of specific interface elements to capture driver attention.

Segmenting static and dynamic road factors resolves the complexity trade-off, enabling real-time overtaking guidance without excessive processing delays.

A hybrid deep learning architecture processes spatial and temporal correlations to predict ride demand.

Gear rings on inner cores enable angular offset coupling, resolving rigidity trade-offs in stackable traffic light assemblies.

A mobile platform with radar and video cameras detects Slow-Down-Move-Over traffic violations.

An on-board device broadcasts vehicle identity to trigger mobile location updates and correlate passenger identities with the vehicle.

Automated signal lamp recognition model determines time delay between real and simulated traffic lights, eliminating manual recording errors.