Instruments For Road Network Navigation TRIZ Cases

A kiosk camera scanner captures mobile screen content to construct travel itineraries without third-party applications.

An off-board navigation system transmits route proposals and map data to a vehicle via a wireless link.

Segmenting vast mapping data into hierarchical lists reduces visual clutter while preserving spatial context and information completeness.

Identity devices distribute data processing across edge nodes, reducing transmission latency and resolving security delays in moving object operations.

A magnetic sensor generates output signals based on vehicle orientation relative to an external magnetic field for precise heading determination.

Physical markers enable augmented reality devices to determine precise location and orientation data for navigation guidance.

A sliding window data backtracking method constructs a matching framework using historical physical field values to determine rotation transformation matrices.

An in-vehicle access application activates operational modes based on vehicle status to manage wireless toll transactions.

A system classifies vehicle operators into risk groups using sensor data to select the safest driver for carpooling.

A navigation device displays predictive traffic information for multiple road segments based on estimated passing times.

A destination estimating apparatus filters candidate locations using a history storing unit and a candidate excluding unit to improve accuracy.

A mapping tool models curved roads as Bézier curves to enable efficient data transmission and rendering.

A navigation device switches between 2D and 3D visualization modes based on route transitions.

A vehicle-based positioning system uses onboard inertial sensors to determine precise location by comparing detected orientation data with stored guideway parameters.

Segmented route identification images shift vertically to resolve visibility conflicts when multiple navigation paths overlap near intersections.

Portable navigation devices synchronize data sharing through event-based timing windows, eliminating cumbersome pairing processes and internet dependency.

A vehicle information display system detects identical content across multiple units and switches one to associated alternative data.

A Bayesian optimizer tunes autonomous vehicle controller parameters using surrogate models to accelerate simulation-based optimization.

A mapping system matches gantry coordinates to consecutive shape points for accurate heading value calculation.

A method calculates scenic ratings for electronic map segments using filtered positional data from mobile devices.

A vehicle precautionary system detects hazardous curves along downhill road segments using digital map data and positioning signals.

A drone delivery system uses vehicles as mobile platforms for package transfer and recharging.

A computer system determines trajectory distances from map points and compares them with route distances to identify road network errors.

Precomputing monthly payments filters vehicle inventories against financial booking requirements, reducing time spent verifying loan eligibility.

A community cloud system shares traffic updates between mobile devices without transmitting personal location information to public cloud providers.

A mapping application generates adaptive user interfaces tailored for different devices and vehicle systems, including smartphones, tablets, and in-car displays.

A navigation device merges tire pressure data with real-time road conditions to calculate safe vehicle routes.

Assigns risk values to road segments using accident history and weather data, enabling insurers to adjust premiums based on actual exposure.

A navigation display adjusts map object transparency to keep route information visible in 3D views.

Navigation system generates adaptive coverage area and selects preferred positioning mode for accurate location fixes.

Vehicles request specific map sections when quality falls below thresholds, reducing bandwidth usage while ensuring data completeness.

Off-board navigation system transmits route data via wireless connection to reduce onboard complexity and enable targeted advertising display.

A lane change detection system identifies maneuvers by tracking stable and unstable heading sequences.

Dynamic security boundaries adapt to user location and clearance, preventing unauthorized access to restricted areas while maintaining mobility.

Aggregating diverse GPS traces mitigates measurement precision errors on unpaved trails, producing complete and up-to-date trail network maps.

Dense control determining points enable flexible driving action decisions at priority road entries, resolving conflicts between safety and calculation load.

A navigation system alters vehicle routes using emergency criticality signals.

A central control system generates precise signals for remotely located interaction units via a wide-area network.

A central navigation server forms travel groups from vehicle identifications and distributes global positioning data to member units.

A ridesharing management server assigns vehicles and calculates drop-off times to optimize fleet utilization.

Unified route synchronization merges passenger and driver terminals to eliminate display discrepancies and improve instruction clarity.

A distributed traffic sampling and navigation system partitions processing between mobile client devices and servers to generate real-time travel routes.

A navigation system dynamically filters and highlights probable destinations during alphanumeric input to streamline user selection.

A remote server collects vehicle position data to form dynamic parking lot maps.

Communication centers aggregate real-time vehicular states to assess road travel ease, resolving accuracy limitations of static physical configuration models.

A mobile terminal creates personalized road guide maps using user input and GPS location data for navigation.

Segmented graph neural networks process local and spatial-temporal data to improve prediction accuracy while reducing computational resource consumption.

A vehicle energy prediction device calculates air resistance using speed-based correction coefficients to determine route consumption.

Graph data structures map reachable areas within threshold times, resolving accuracy and processing speed contradictions.