Road Vehicles Traffic Control TRIZ Cases

A shared vehicle application detects user travel events and geographic position to prompt nearby service information on a map interface.

A network service system selects messaging protocols based on user device capabilities and account status to transmit transport data.

Real-time feedback corrects tire pressure drift during autonomous operation, ensuring precise path following without manual intervention.

A driver assistance system processes spoken instructions to tailor traffic information output.

Optical character recognition on a mobile device extracts vehicle identifiers from photographs to verify asset location against database records.

A usage tracking system detects parked location attributes using smartphone cameras to verify acceptable parking spots for shared vehicles.

A camera alternates integration times between sequential video frames to optimize exposure for distinct object reflectivity.

A processor analyzes camera images to detect water splashing patterns and determine dangerousness levels for vehicle control.

A preceding vehicle selection apparatus adjusts filter characteristics to stabilize lane probability calculations for tracked vehicles.

A controller generates directional indicators using color and orientation to communicate vehicle restraint status.

Aperture filter controls light propagation direction to show different images to viewers at distinct positions.

Audio pick-up device captures remote sound signals and processor amplifies warning components using voiceprint data matching.

Information analysis device generates visit pattern information from vehicle positional data to identify facility changes.

A vehicle control device prioritizes alerts by combining time to collision with the driver's sightline direction.

A vehicle communication system establishes selective voice connections using predefined criteria.

A vehicle monitoring system calculates deviation values from reference paths using position and motion data to assess driving behavior.

A programmable logic unit adjusts inductive-loop sensor sensitivity to detect metallic objects near secured entry points.

A navigational system initialization process establishes a common coordinate system for multiple users using arbitrary reference points.

A motor vehicle camera system diagnoses object recognition by comparing independent sensor-based and image-based classification results.

Single loop inductive sensors analyze vehicle signature waveforms to classify traffic despite overlapping length distributions.

A server dispatches registered vehicles by aggregating individual and public transit requests into unified candidate lists.

Fusing camera and range sensor data via prediction algorithms to estimate object location, resolving lateral resolution limits of small-aperture sensors.

Traffic management module analyzes real-time data to provide dynamic routing alternatives that distribute congestion across multiple routes.

A traffic prediction method uses historical peak payment times to estimate actual service load.

A reflection entity generates localized multicast messages for terminals within a defined spatial zone.

A vehicle parking assistance device selects optimal trajectories from multiple calculated paths using sensor data.

A rear camera device ascertains optical axis direction using a static ground obstacle and wheel rotation data for precise alignment.

Management module decouples application programs from hardware devices, resolving tight coupling that limits system flexibility and expansion.

A 3D augmented virtuality interface displays real-world imagery with virtual asset icons.

A distributed transponder system broadcasts vehicle position and speed data to surrounding aircraft.

A display processing apparatus coordinates notification updates across multiple screens based on user operations.

Distributed peer-to-peer surveillance nodes eliminate single points of failure by autonomously targeting cameras to event locations via geospace definitions.

Aggregated ground truth datasets from edge networks enable supervised learning systems to identify discrepancies in dynamic environments.

Geolocation data and geofences enable subject vehicles to autonomously determine parking positions on transporters, reducing manual coordination time.

A broadcast system transmits common information to mobile terminals via a one-way channel.

A processing system generates hazard probability boundaries and confidence bands using crowd-sourced probe data points.

A vehicle operation management device defines notification regions as polygonal shapes on a map image to determine vehicle position inclusion.

Adjustable ultrasonic sensors detect vehicle obstacles using distinct detection areas and transmission gains.

An autonomous driving control apparatus requests remote intervention via V2X communication.

Mobile device driver alert system processes sensor data with contextual information to generate proactive warnings for risky driving behaviors.

Smart updating concept interrupts conventional sweep patterns to prioritize radial lines with text, enhancing update rates for pilot interface adjustments.

A proposal device calculates prediction time to determine automatic driving feasibility.

A planning system identifies and optimizes linked train movements within the scheduling algorithm.

Confidence-scored audio data trains machine learning algorithms to recognize specific sounds, resolving real-time detection bottlenecks in autonomous driving.

A geofencing system assigns backup limits to delivery zones and monitors vehicle telemetry in real time.

A parsing system extracts stays and destinations from location histories using temporal and spatial thresholds.

A vehicle control system predicts obstacle trajectories to determine accurate convergence locations for safe navigation.

A driving support system acquires visual recognition position data to notify drivers when traffic lights are not visible.