Instruments For Road Network Navigation TRIZ Cases

A burden estimation device uses reinforcement learning to evaluate individual travel burdens across defined state spaces.

A location identifier registry converts non-locational identifiers into precise locational addresses.

An interactive server system receives location data from mobile terminals and transmits address information to in-vehicle units.

Hierarchical map segmentation reduces computational complexity by processing coarse and fine route levels separately for scalable navigation.

A navigation system generates smart route searches based on entity proximity and time to identify points of interest along a travel path.

Augmented reality system overlays virtual vehicle content behind buildings to resolve occluded location visibility.

Digital twin simulation models vehicle-roadway interactions to recommend optimal infrastructure device locations for V2I networks.

Status icons represent system settings on a display to enable quick function selection, reducing driver distraction from complex menu navigation.

Central terminals direct mobile devices through unmonitored zones based on terminal density, resolving blind spots without adding hardware.

Clustering chargers and vehicles determines charging priority, reducing waiting times at stations.

Fusing camera multimedia with probe data adjusts detection parameters to resolve inconsistent lane-level accuracy caused by variable GPS precision.

Generating virtual lane markers between entry and exit terminal nodes enables driving control in road sections lacking physical lane markers.

A multi-surface display system generates coherent map excerpts across spaced vehicle screens to orient the driver.

Correction information adjusts measurement offsets from varying sensor configurations, maintaining map accuracy despite diverse vehicle hardware.

Segmenting electronic maps into zones organizes location-specific messages, reducing server load while improving retrieval efficiency.

Separating location and orientation graphics resolves visualization confusion by displaying distinct directional cues alongside position data.

Image sensors detect physical maps to overlay real-time transit data in augmented reality environments.

Agent device filters redundant service data via coordinated controllers, resolving the trade-off between broad coverage and response quality.

Machine learning extracts map information from historical sensor data, eliminating expensive manual creation while predicting vulnerable road user positions.

A vehicle system adapts parking suggestions by analyzing driver acceptance and rejection data to match specific preferences.

A navigation system uses machine learning to analyze network connectivity data for generating routes with reliable signal strength.

A touch display device uses a layout creator to arrange sensor information icons on divided screen areas.

A collision avoidance apparatus detects corners ahead to determine whether steering changes are safe for evasive maneuvers.

An HMI control unit adjusts notification start times based on lane count to guide vehicle occupants through recommended lane changes.

Airborne surveillance platforms feed real-time traffic data to GIS databases, enabling dynamic routing tools to recalculate paths during road closures.

Segments laws and ethics into logical expressions organized by priority levels, resolving system complexity while ensuring safe autonomous motion planning.

Machine learning classifiers extract features from vehicle data to automatically detect and classify driving events.

A positioning device estimates vehicle location by applying inertial data and planimetric feature positions to a Kalman filter.

Augmented reality street annotations use distance-based zones to format 3D and 2D labels, reducing visual clutter while maintaining clear navigation cues.

A processing unit suspends lower-priority tasks to maintain system stability under heavy computational loads.

Segmenting and extracting specific sensor subsets reduces computational load while maintaining measurement precision for accurate lane geometry.

Visible light communication uses building lamps to transmit navigation data, enabling reliable indoor path guidance where GPS signals fail.

Route search device calculates standard and high-frequency paths to balance safety with passenger pickup probability.

A vehicle controller adjusts longitudinal and lateral tolerance values to manage motion precision.

Continuous traffic data collection via mobile apps replaces costly snapshot surveys, ensuring up-to-date traffic pattern analysis.

Sensor fusion segments monitoring tasks to resolve the contradiction between high compliance accuracy and increased system complexity.

Cylindrical coordinate mapping segments the display area to declutter overlapping point of interest representations in perspective views.

A vehicle display system produces an image sequence that rotates and folds a graphic object over the vehicle symbol to maintain visibility.

A vehicle control device allocates parking spaces using environmental data to maintain optimal conditions.

Adaptive workload estimation system schedules driver interface tasks based on real-time cognitive load levels.

A routing engine selects vehicle parking locations by processing map data to minimize travel time and distance toward a subsequent destination.

A vehicle display device merges a time indicator with a power scale to show current drive power and elapsed maximum duration.

A wearable head-mounted display system integrates vehicle and user motion data to determine spatial location and rotational orientation.

A personalized notification system monitors vehicle location and passenger conditions to deliver targeted audio, visual, or haptic alerts.

A route risk determination system aggregates sensor data and driver behavior metrics to calculate safety scores for navigation paths.

Navigation device automatically mirrors mobile driving routes to its large screen, eliminating manual connection steps that compromise driver safety.

Decomposing the optimization problem into independent subproblems reduces computational complexity while maintaining accuracy of travel duration calculations.

Replace anomalous GPS measurements with interpolated pseudo points to eliminate systematic errors in road centerline inference.