Instruments For Road Network Navigation TRIZ Cases

A vehicle lane identification system calculates distances to white lines and detects variations in those measurements to determine the current travel path.

Parametric curve merging reduces transmission load while expanding autonomous driving coverage.

Portable companion application forwards partial user input to navigation services for generating suggested geographic locations.

A relative navigation system using inertial units and differential GPS to exchange low-latency position data between a helicopter and a moving ship.

OS caches sensor data to detect missed trips, reducing resource consumption while maintaining data completeness.

Camera image overlay with dynamic lane indicators resolves multi-lane route ambiguity without increasing display complexity or driver cognitive load.

A navigation system generates route proposals by matching user inputs against stored completed ride data.

A processor analyzes mobile network usage records to determine traveled routes by computing a ratio of start and end cell coverage areas.

A mobile device calculates communication quality along a travel route and displays the data to the user.

A point cloud acquisition system links sensor data to magnetic road markers for precise positional tracking.

A position estimation system generates vehicle location using identified environmental objects and features from sensor data.

Dividing the road network into partitions generates separate contraction hierarchies, reducing preprocessing time and resource usage for large-scale routing.

On-board processors execute map-embedded instructions to filter raw sensor data, reducing transmission volume while preserving map accuracy.

A neural network predicts traffic flow and travel time by integrating navigation route data with real-time and historical traffic metrics.

A navigation apparatus adjusts route calculations for sound-only guidance when the display screen is unavailable.

A vehicle communication system aggregates user area ratings to guide route selection.

Automated detection and resolution of road closure state mismatches in mapping platforms reduces computational complexity and improves data reliability.

Foot-mounted inertial sensors determine user position and activity through local processing, eliminating GPS signal dependency in indoor environments.

A trip duration estimation system combines real-time and historical data models to predict travel times.

Autonomous unmanned vehicle control system injects time and location metadata into sensor streams to generate correlated telemetry data.

A server calculates device position using wireless signal strength from base stations.

A driver assistance system processes crowdsourced route data to determine overtaking suitability values for upcoming road sections.

Map data processing system automatically updates navigation interface fields at intersections to eliminate manual interaction and improve driving safety.

A straight skeleton algorithm generates center segments from navigable polygons to create natural link node routing graphs.

A parametric site model selects optimal parameter values from motion sensor data to generate accurate map data without satellite signals.

A traffic prediction system selects data sources based on computed travel time reliability metrics.

A vehicle speed control system dynamically adjusts travel velocity based on calculated distance and current traffic volume to meet a driver-set arrival target.

A computing system calculates minimal incentives to prompt users to re-route during traffic incidents.

Assessment device calculates spray limit index from tank temperature changes to predict heel heaviness, preventing LNG deterioration during ballast voyages.

A computing system generates transportation routes based on user activity level goals and monitored performance data.

A route setting device calculates a change index for multiple path options to guide occupant selection.

A computing system generates dynamic checkpoints along suggested routes to motivate ride-sharing providers toward high-demand areas.

A travel service system monitors user behaviors to coordinate transportation networks and optimize movement through urban areas.

A terrain navigation procedure assesses position support quality using distinct quality functions for terrain roughness, IMU data, and reference maps.

Synchronizing navigation destinations across mobile and vehicle devices eliminates redundant input while automatically switching modes based on proximity.

Route fingerprints translate navigation paths between incompatible map versions using hash values of road segments.

Server device searches intersections using incomplete addresses, prioritizing results to reduce processing resources and user time.

A computer-implemented method generates personalized driving profiles from collected user statistics to control autonomous vehicle behavior.

Segmented route search servers share only result data across borders, resolving the contradiction between service continuity and national security restrictions.

Grid-based processing reduces computational load by analyzing location relationships between target and historical grids for efficient anomaly detection.

Processing device detects traffic control devices using speed threshold analysis, updating shared databases to alert drivers of changing locations.

A navigation device calculates optimal routes by acquiring conveyance mode and business hour data.

Automated driving path planner segments navigation tasks to adapt to dynamic objects without increasing system complexity.

A map display device computes reachable range using vehicle and equipment energy consumption rates.

Integrating attitude and heading reference systems with inertial navigation processors stabilizes satellite signal tracking during jamming or signal loss.

A transportation service system monitors event start times to adjust passenger pickup schedules.

A system determines transport start location and time using GPS data from a driver device.

A route determination method allocates movement targets to moving bodies based on minimum movement amounts.