Road Vehicles Traffic Control TRIZ Cases

A vehicle operation assistance device determines operator visual line range and calculates alertness to control on-board devices.

A mediator service resolves interoperability issues between independent booking systems by employing a dynamic dialogue matrix to track inquiries and responses.

Induction loop segmentation detects vehicle entry and exit signals to differentiate traffic violations in restricted areas.

A transportation data lake harvests roadside sensor streams to supply diverse training inputs.

A navigation system switches operating interfaces via BIOS prompts and ROM storage modules.

A vehicle obstacle determination apparatus calculates propagation distance differences between round-trip detection wave paths to identify physical objects.

Information processing device selects instant messages based on vehicle pick-up and drop-off times to determine service evaluation.

Demodulating environment signals extracts V2X identifiers, resolving GPS inaccuracy issues during multi-vehicle data allocation.

A self-contained GPS speedometer merges the antenna onto the internal circuit board to display vessel speed and heading directly.

Separating primitive data into buffers reduces spatial index size and computational overhead during ray tracing.

A vehicle control apparatus calculates steering avoidance information using sensor data to determine executability.

A virtual detection system generates synthetic calls to traffic controllers using prediction algorithms.

Segmenting the radar field of view to exclude high-amplitude trailer reflections resolves interference that obscures other vehicles during reversing maneuvers.

Standardized circuitry in this modular system reduces inventory complexity while maintaining adaptability across diverse container handler types.

A system aggregates vehicle and mobile device sensor data to identify hazardous road conditions.

A safety stoppage device predicts drivable spaces and calculates safe trajectories for autonomous vehicles.

Classify target vehicle movements via pattern assessment to tailor active safety actions, resolving the trade-off between adaptability and device complexity.

Segmented evidence packages and intermediary ledgers maintain integrity tracking without increasing system complexity or exposing raw data to security risks.

Hierarchical data conditioning detects and balances imbalances in autonomous vehicle datasets, reducing computing costs while ensuring safe AI behavior.

Demographic clustering algorithms assign evacuees to specific destination clusters, resolving resource allocation inefficiencies during disaster response.

Generating a radar occupancy grid from structure data allows accurate vehicle localization within GNSS denial environments like garages.

Analyzing lane markings and signs with a stereovideo camera detects wrong-way travel before navigation data delays cause safety risks.

A vehicle control device displays current and reference lanes to facilitate automated lane changes based on user input.

Creating a digital twin of the effect chain allows checking system suitability without relying on real-time communication links.

A mobile navigation system alters speed limit indicator attributes to notify users of roadway changes.

A lone worker monitor places periodic check-in calls to a primary server for location tracking and safety monitoring.

Dynamic vehicle selection reduces redundant road friction probing maneuvers, lowering mechanical wear while maintaining measurement accuracy.

Processor analyzes threat data along planned routes to generate alternate paths adjusting departure time, altitude, or lateral trajectory.

A mobility-activity processing module generates clusters from collaborative trace data to assign non-collaborative individuals via combinatorial optimization.

Controller moves vehicles along loop paths without destination designation, eliminating complex route calculations and reducing energy consumption.

Backend servers aggregate precise movement data into generalized traffic flows, maintaining reconstruction quality while ensuring anonymity.

Adjusting enhanced vision system images using processed platform parameters to eliminate latency from image enhancement processes during approach.

A hybrid positioning system merges GPS coverage with wireless precision data streams for accurate fleet tracking.

Drones replace vulnerable ground infrastructure to restore traffic control after disasters, utilizing autonomous positioning and synchronized signaling.

A trailer integrates radar and camera systems into its structure for flexible deployment.

A recognition circuit matches spoken phrases against categorized reference terms to identify commands accurately.

A server acquires vehicle data to determine if remote intervention is required, enabling external control of the autonomous vehicle.

Operating mode detection unit assesses autonomous driving feasibility using stored route data to trigger driver signaling.

An accelerometer and processor detect vehicle motion to automatically cancel turn signals.

Server system coordinates drone flight paths with autonomous vehicle routes to enable hitchhiking docking segments.

A sensor fusion network uses reinforcement learning to selectively transmit V2V data.

GPS-based control system tracks light rail vehicle positions using satellite navigation and onboard detectors for real-time monitoring.