Instruments For Road Network Navigation TRIZ Cases

Navigation device identifies HOV lane entrance exit sections by analyzing lane information within combined link data to resolve route guidance bottlenecks.

Cloud server distributes emergency vehicle route data to non-emergency vehicles, resolving detection distance delays that cause traffic bottlenecks.

Autonomous vehicles navigate using encoded navigation paths to monitor relative motion, resolving measurement precision issues caused by uncalibrated sensors.

A geofence creation system copies spatial boundaries from map elements to define precise zones on mobile devices.

A drivable distance calculation device selects power consumption ratios based on remaining battery capacity to stabilize range estimates.

A vehicle traffic flow advisor exchanges position and speed data between remote vehicles to calculate lane-level flow rates for driver display.

An iterative route determination system scans reachable stops to identify optimal paths without graph representation.

A navigation system estimates vehicle reachability by establishing gateway road segments and retrieving pre-generated route information for efficient path analysis.

Pre-stored presentation formats restore previous layouts during orientation changes, reducing transition time and memory overhead.

Machine learning module prioritizes train schedules using business rules and dynamically learned behavior.

Information processing apparatus dynamically adjusts map display scales based on user input frequency to highlight frequently searched objects.

A route generation device calculates third points from first and second point sequences to produce a continuous target route.

Indexed bit information enables dynamic search radius adjustments and fast facility retrieval along the entire route, resolving grid-based inefficiencies.

Reshaping sensor features into spatial representations identifies objects directly, bypassing resource-intensive 2D-to-3D conversion steps.

A navigation apparatus recommends car pool lanes based on map data analysis.

A fleet management system selects scouting objectives for autonomous vehicles using dynamic weight calculations based on visit history and time sensitivity.

A processing apparatus acquires facility information along a vehicle travel route and displays images of associated facilities on an in-vehicle screen.

A server-controlled system adjusts point of interest zone shapes based on user velocity and direction to deliver relevant alerts.

A networked system aggregates user data to derive height parameters for multilevel roadways, enabling precise route generation based on detected elevation levels.

A mobile processor determines compass offset data using map references to present a corrected directional view.

Human-machine interface displays predicted and proposed paths to resolve automation verification trade-offs.

A navigation device detects vehicle parking via connection sensors and stores positional data to restore location accuracy when GPS signals are lost.

A vehicle alert system selects a specific display based on driver eye gaze direction to present visual signals.

A navigation system detects occupant frustration through passive sensor monitoring to suggest alternative routes.

Clustering probe velocity data identifies dangerous lane strands, resolving the trade-off between detection precision and system complexity.

Perimeter indicators on an aviation watch display directional bearing to the nearest airport, reducing pilot workload and navigation complexity.

A vehicle warning system selects routes based on lowest expected energy requirement to reach charging locations.

A route determination system searches for an initial path and allows users to designate specific avoidance zones within that path.

A navigation system adjusts instruction detail based on prior route data.

A control unit updates a primary scheduled travel route based on failure information and route condition data.

A system controller selects human-perceivable content elements based on driving context data to deliver a personalized experience.

An operating device uses an eye tracker to select display symbols and execute functions via acoustic commands.

A hybrid departure time prediction system uses clustering and association rules to infer user behavior patterns from historical trip data.

A navigation system shifts the center path line to avoid uneven road surfaces detected by LIDAR sensors.

A map user interface superimposes travel route patterns and new travel route predictions on a display.

A virtual assistant translates user commands into semantic atoms and converts them into proprietary service-specific language commands.

A navigation system automatically activates and deactivates vehicular turn signals based on route data.

A route module segments travel paths into nodes to identify points of interest within predetermined distances for prioritized display.

A location identification grid divides geographic regions into irregular areas for precise positioning.

A computer-implemented method selects an autonomous vehicle driving profile based on passenger physiological reactions.

Travel control apparatus reduces lane keep deviation by estimating routes via motion sensors when lane lines are invisible.

A pre-request matching system determines potential transportation matches using real-time provider availability data.

A mapping application emphasizes transit lines and stations using vivid colors and dynamic rendering based on zoom levels.

Smart device transmits beacon packets via a virtual tunnel to control vehicle AVN without password input.

A location-based service system determines similarity scores for points-of-interest using feature vectors and weighting vectors.

Color-coded map regions convey location confidence to resolve the trade-off between communication clarity and interface complexity.

A driving assistance system extracts interference traffic lines to determine necessary vehicle lengths for action planning.