Instruments For Road Network Navigation TRIZ Cases

Beacon detection and visual light communication enable location-based lighting control, eliminating manual switch search in large spaces.

A mobile device controller detects vibrations and magnetic field changes to determine transportation mode.

Local traffic map image database enables offline retrieval and display of condition-specific visuals on navigation devices.

System generates polygon data points and spider web models to represent settlement areas, reducing manual coding time.

Fusing GNSS signals with physical sensor data via a Kalman filter compensates for satellite visibility loss.

A navigation controller calculates recommended speeds based on detected speed bump details to alert drivers.

A controller extracts navigation image portions for head-up display rendering.

A passenger load prediction system detects wireless devices to determine passenger location and predict train car occupancy levels.

Acoustic sensors classify sounds and localize sources to resolve information gaps in dynamic environments, enhancing route planning beyond visual data.

LoRa time-of-flight ranging calculates slave node location, reducing anchor points needed for long-range tracking.

A routing system adapts road network hierarchies using real-time traffic data to maintain efficient pathfinding.

Bluetooth Low Energy beacons enable continuous indoor navigation by transitioning from satellite positioning, reducing vehicle search time.

Prefiltering rideshare trips using precomputed spatial parameters to identify detour candidates.

A smartphone controller acquires position data from roadside devices to maintain location awareness.

Partitioning road networks into regions limits simulation scope, reducing processing load while maintaining prediction accuracy without historical data.

A path generation system determines accessible areas from real-time obstacle data to guide unmanned vehicles through complex construction zones.

Computing system generates alternate paths using graph data structures and heap algorithms to identify optimal routes and detour costs.

A Positive Train Control data processing system generates predictive train location information for navigation services.

A machine learning model identifies recurring event patterns from user transaction data to predict physical locations for route waypoints.

A navigation device sets a preliminary route before receiving server data to merge paths smoothly.

A travel route generating unit creates navigation paths using space information from fixed objects detected by front-facing sensors.

A vehicle climate control system adjusts internal air quality using sensor data and predictive algorithms.

A portable navigation device stores and transmits user-entered ratings and audio descriptions for local and remote processing.

A vehicle matching system calculates user and driver risk scores to pair participants with compatible safety metrics.

A navigation device presents alternative routes diverging at different junctions to expand user choice.

Relative motion sensors adjust wireless-derived positions to resolve multipath signal errors and reduce time-to-fix in urban environments.

A server device determines optimized vehicle routes through dynamic service regions to minimize travel distance.

An onboard processing device detects vehicle speed using GPS signals to determine local limits.

A facility search apparatus displays category availability to streamline user selection.

A fuel prompt device calculates vehicle reachable range using GPS and sensor data.

Hybrid street level routing system uses ant colony optimization to calculate weighted transition costs between grid cells for efficient pathfinding.

Stationary cameras capture images to extract vehicle data, generating diverse simulation scenarios without physical probe cars in dangerous zones.

Segmented autonomous driving states transition via real-time sensor data, resolving adaptability versus complexity trade-offs in complex environments.

Autonomous carriers dock with transit vehicles to utilize underutilized capacity and reduce operation costs.

A control apparatus selects candidate mobility services using user context data and transmits route search results to a terminal.

An AVN controller dynamically adjusts operational parameters to maintain connected service functionality across diverse vehicle devices.

A computer system maps geotemporal route objects onto digital maps to define intermediate waypoints between chronologically adjacent vertices.

A processor refines radar pointing angles by calculating lateral acceleration and sideslip angles from vehicle dynamics data.

A voice output control device compares information values of multiple items to prioritize higher value content for audio delivery.

A touch panel cover glass features an operation portion with a large radius of curvature and design connection portions with a smaller radius.

A detection module identifies planned vehicle configuration changes to update range estimates.

A vehicle guidance system compares current lane-level position to anticipated route coordinates.

Navigation service inserts targeted lane instructions at critical route segments to prevent unintended maneuvers caused by complex road configurations.

A vehicle traveling control system predicts environmental risks and intervenes with automatic operation to generate new target trajectories.

RFID pavement markers provide local position references that maintain accuracy in adverse weather and prevent GPS spoofing attacks.

A hybrid vehicle control system limits engine driving during external power feeding to conserve fuel.

A mobile address book stores latitude and longitude coordinates locally to eliminate repeated server requests.

A driving assistance apparatus segments regions by activity frequency to adjust registration thresholds for location candidates.