Instruments For Road Network Navigation TRIZ Cases

A vehicle charger server system applies digital signatures to position and identification data for secure transmission.

Driving assistance device determines relative position within mandatory passage zones using cartographic data, overcoming GPS signal loss in covered areas.

Video camera captures visible features to build a precise map, resolving GPS inaccuracy at intersections.

Proactive traffic monitoring eliminates manual checking by alerting users when conditions improve.

A transparent display device adjusts facility information range based on vehicle lane position to optimize space usage.

A priority control module assigns movement priorities to mobile objects based on passenger counts and route conditions.

External display system broadcasts turn-by-turn navigation instructions to reduce misinterpretation of driver intentions.

A navigation system calculates driver cognitive load from sensor data to manage audio interaction timing.

Detects scene changes by comparing regions of interest across varying positions and times, reducing computational complexity through segmented processing.

Sensor-based route generation adapts transportation options to detected occupant and luggage conditions.

A location based engine processes positional and directional data to determine relevant points of interest relative to a mobile device.

Segmenting map labels by zoom ranges minimizes visual clutter and blinking during user interactions while reducing computational overhead.

Automatic mode switching based on calculated speed eliminates manual user intervention and prevents incorrect route guidance.

A version translation table maps road segment identifiers across different database versions, resolving data mismatches and preventing route guidance errors.

Navigation system calculates optimal map scale using key points to prevent missing intersections during driving.

A custom statistical model segments driving behaviors to attribute telematics data to specific drivers within a limited pool.

A controller circuit adjusts vehicle lateral control calibrations using weather and sensor data.

A location traces platform returns contemporaneous user movement history to applications for immediate processing.

A driving assistance device assesses map reliability using sensor data to adapt vehicle operations.

Computer system identifies traffic incident locations by analyzing overlapping route deviations from multiple navigation devices.

A dynamic map database generates lane-level maps using real-time vehicle data exchange.

Navigation system assigns resistance values to spatial areas for automatic route bypass.

A data-driven action-primitive planner selects sequences of maneuvers from a behavioral database to handle dynamic obstacle uncertainty.

Dynamic AR mapping segments data into hierarchical levels and clusters tags by distance, resolving navigation clutter while preserving information completeness.

Users graphically move shape points to update road segment coordinates, resolving inaccuracies without waiting for supplier updates.

A delivery vehicle monitoring system analyzes sensor data to determine optimal navigation routes based on item freshness.

A navigation system calculates routes by predicting user mistakes at intersections to present optimal paths.

Dynamic selection of GPS, Wi-Fi, and cellular techniques via context-based priority lists reduces power consumption while maintaining localization accuracy.

A mobile application processes passenger bookings by synchronizing route and fare data with a central server system.

A POI information filtering system retrieves and organizes data from multiple providers to present unified results.

A policy based navigation control system synthesizes map inputs from mobile devices to generate unified navigation advisories.

A vehicle-mounted display apparatus transmits driving probability data to a server for real-time traffic volume calculation.

Probe vehicles map to lanes and cluster by position to calculate average speeds, resolving resource-intensive manual monitoring.

A multi-computer platform aggregates sensor data to detect hazards and identify relevant user groups for targeted alerts.

Driving assistance device calculates evaluation values for parking spaces to select optimal locations based on exit hindrance factors.

A distance to empty prediction tool partitions driving routes into segments and estimates energy consumption for each segment individually.

A vehicle driving assist apparatus sets acceleration suppression based on reaching distance to crossing roads detected via map matching.

A Siamese neural network screens routing candidates to identify promising solutions, reducing computational waste on unpromising routes.

A vehicle display apparatus matches turn-by-turn images to the current driving lane using sensor data for accurate navigation.

Dynamic vehicle-to-vehicle wireless charging eliminates lengthy station stops by allowing moving cars to exchange power directly.

A vehicle sharing assisting apparatus acquires user and vehicle location data to determine optimal travel routes for multiple passengers.

Combines vehicle sensor data with user personal profiles to estimate departure times, resolving reliability versus complexity trade-offs.

A navigation apparatus displays a non-vehicle guidance object moving along the route to provide clear visual direction.

A vehicle display system registers preferred image locations using an external terminal device.

Portable navigation device displays user-selectable graphical indicators on the map to allow direct data correction.

An open API gateway formats user requests into URL strings and transmits them to geolocation service providers.

Location context identifiers enable automatic map transitions for mobile station navigation across varying environments.

A vehicle assistance device sets a dynamic control target point to generate appropriate travel trajectories for autonomous driving.

A cellular phone control module selectively transmits vector and location data based on speed and road type.