Instruments For Road Network Navigation TRIZ Cases

Crowdsourced route maps help mobile devices avoid costly wireless coverage scans.

The guidance method analyzes road scenes and adds detailed cues only when maneuver complexity demands them, easing driver cognitive load.

When users request a different direction, voice guidance compares route time, distance, and cost to support informed choices.

Schedule-aware POI timing keeps navigation relevant without risking late arrival.

The system generates and validates package itineraries against transport rules, then ranks options by cost, distance, risk, and speed.

Pre-trained AI and feedback update destinations, routes, and treatment instructions for first responders as emergency conditions change.

Client-device signals are compared with transit data to detect progress and generate updated or alternative itineraries.

Hybrid maps add geometric features when semantic data cannot localize reliably.

The system selects waypoints from consumer driving data to personalize routes, reduce vehicle wear, and improve test-drive efficiency.

Mobile clients detect nearby crossings locally, adapt routes, and prompt users to maintain safe distances without centralized location data.

Contextual data feeds an emotion map layer that weights road segments for routes designed to improve driver satisfaction.

Shared state links AR and messaging components, reducing repeated user input.

Building maps and site-of-interest data help navigation systems select optimal drop-off points and guide users to final destinations.

A central computer wirelessly sends route and treatment levels to control devices for automatic, location-based fleet selection.

This case maps perception lanes to navigation roads using geometric similarity, improving localization and lane-level planning.

A VEM platform predicts energy expenditure by flight phase and updates operator visualizations from live battery state data.

An AI engine compares route groups by location and time, enabling vehicle reassignment that reduces redundant travel and fleet costs.

This route search approach uses bus and stop frequencies to guide light vehicles along safer roads and reduce collision risks.

This case combines wearable location tracking, route deviation alerts, and authorized communication for emergencies.

Entry and exit sensing turns phone data into trip logs that identify a user's primary vehicle without vehicle-installed hardware.

Pose-corrected semantic frames and probability grids support current, high-definition maps across varied sensor systems.

Speech recognition and language processing extract destinations from calls or meetings, reducing manual input before route generation.

Vehicle and GPS data are correlated with geofenced stops to verify delivery completion and flag route compliance.

Color-coded route diagrams help users locate drivable charging facilities with less eye movement.

Location-based slot allocation reserves a configured fuel dispenser and enables pre-authorized payment before arrival.

A transport validator checks denied identifiers and denial criteria before blocking access, preserving authorized passenger use.

Mobile property inventories use images, timestamps, and locations to verify ownership and compare current values with policy limits.

A navigation display guides users to expired-data routes, collecting and transmitting vehicle information to refresh road maps.

An auction-based network system evaluates routes, cost, and reliability to select and monitor third-party AV providers.

This case combines narrow-road route comparison with meeting-point prompts and reverse guidance when no passing area exists.

Vehicles request changed map objects by version, while dependent updates preserve consistency without transferring the full map.

Coarse aerial localization followed by ground-model refinement improves pose accuracy and success rates across large-scale scenarios.

This case estimates future traffic by route segment to update directions, balancing flow and reducing travel time and congestion.

Timeline filtering organizes cumulative waypoints for easier selection and management.

Configure fleet-specific time windows and stop thresholds to automate route reports and timely vehicle status notifications.

Rectangular mesh filtering and polygonal lane boundaries improve accurate retrieval of temporospatial data on mapped roads.

Sensor-based distance checks update map data and suppress false road work warnings when signs are moved after completion.

This case segments route points and preserves prior travel times, reducing computation for demand-responsive route generation.

Distance-based penalties create useful route alternatives without excessive long-trip deviation.

Coarse destinations become precise routes during navigation, reducing input and driver distraction.

The routing system forecasts weather-dependent signal strength and selects paths that keep wireless service above a threshold during travel.

Neural networks combine ultrasonic, RADAR, LiDAR, and image data to generate accurate height and occupancy maps with lower compute demands.

Mobile and vehicle devices share assistant functions without redundant processing.

Sensor and map data reveal positional deviations, updating a GNSS deviation layer to guide navigation and ADAS reliability decisions.

This case adjusts speed profiles for affected route portions, helping vehicles reduce energy use and resume efficient motion after stops.

This case detects siren-activated emergency vehicles, determines their location and direction, and routes host vehicles away.

Payment, calendar, map, and communication data help label significant locations without extra data collection or processing.

Real-time passage feedback switches between routes to align passenger content endings with vehicle arrival times.

Compare routes by carbon emissions and sustainability scores for greener travel decisions.

Vehicle sensors send control variables wirelessly to glasses, which render 3D scenes for motion-sickness-free viewing from any seat.