Instruments For Road Network Navigation TRIZ Cases

A scheduling system dynamically adjusts demand-response transit routes by calculating real-time run scores based on distance and passenger data.

An adaptive imitation learning system generates navigational trajectories and auditory instructions for mobile devices.

A vehicle control device transmits entry signals to a monitoring server before entering travel caution regions.

Clustering lane marking observations to map-match links and generate roadwork extension data.

A vehicle information device accumulates driving history to determine presentation routes based on actual power consumption data.

A dynamic routing component generates colored top-down lane images using overlap data for vehicle control.

System replaces user drawn line segments with selected road sections based on detected zoom levels, resolving route customization bottlenecks.

A smart infrastructure system translates vehicle data into an agnostic format while capturing visual feeds from non-communicating actors.

Navigation system resolves measurement precision versus reliability trade-offs by dynamically selecting sensors based on map data density.

Processor-based system schedules vehicles along routes using Integer Linear Programming to match commuter demand.

A service application segments task data into distinct categories and displays relevant information based on the driver's current location.

A mobile device transmits destination and current location data to a central viewing site using efficient communication protocols.

An adaptive navigation system generates attribute models from personal driving history to deliver personalized route suggestions.

A GPS-based locator samples discrete geographical location data of existing road markings to guide automated paint deposition along the precise path.

A navigation system selects pre-defined destinations based on proximity and time of day to generate route outputs.

Processor adjusts cut-in intention parameters using road curvature and lane data to reduce unnecessary deceleration in merging sections.

Segmenting speech commands by application state reduces the active vocabulary size, preventing misrecognitions caused by large command sets.

Crowd-sourced Wi-Fi data collection automates radiomap creation, eliminating manual surveying and reducing deployment time for indoor positioning.

Rotating a 3D vehicle model to match the rider's line of sight resolves the trade-off between storage space and recognition accuracy in ridesharing.

A vehicle driving control device calculates position via GPS and wireless base station data to execute automatic steering.

Navigation system wirelessly transmits travel route data to external mobile displays, delivering timely traffic information before journey start.

Server processes snow accumulation and traffic volume data to prioritize road segments, reducing accident risk in high-traffic areas.

A visual marker indicates required current position on a planned journey to reach a destination according to a predetermined time criterion.

A mobile device determines location using multiple wireless transceivers to request a transport vehicle.

Dynamic adjustment of target position data corrects odometry errors and suppresses cumulative positioning inaccuracies during turns.

A host vehicle position estimation device detects target objects across multiple recognition ranges to estimate vehicle location.

Segmented radar processing matches environmental signatures against stored maps to resolve positioning errors in obstructed areas.

A guidance system integrates post information with route navigation to deliver location-based directions.

A server analyzes positional data from multiple devices to detect navigable element closures by comparing elapsed times against expected intervals.

A processing circuit selects a single retrieval system for travel queries using feature data mapping.

Navigation service server merges outdoor and indoor routes via a unified framework, enabling seamless emergency rescue operations.

Segmenting the display into distinct zones resolves interface complexity while enhancing user understanding of dynamic route information.

A system processes vehicle sensor data to identify parking facility entrance characteristics and stores them in a location-based map.

Information-processing device evaluates landscape quality using derived environmental indices, enabling route selection for better views.

A mapping system uses a movable selector to dynamically update routes with selected points of interest.

A ride-hailing recommendation system calculates net fare values based on route characteristics and subsequent request probabilities.

A transportation coordination system identifies vehicle units with package obligations to direct concurrent passenger and cargo transport.

A navigation system creates user-defined paths using starting, destination, and intermediate points for flexible routing.

A stereo camera and inertial sensors calculate relative position data directly from optical images.

A geospatial database stores road segments tagged with conditions derived from fleet vehicle images processed by machine learning models.

A driving assistant system identifies candidate landmarks from image data and stores user-confirmed locations for personalized route guidance.

A convolutional neural network learns heuristics functions from obstacle maps to output multidimensional images for path searching.

A system extracts route trajectory patterns by connecting coverage areas defined along main directions.

Navigation systems score and prioritize map update content to highlight newly constructed roads on device screens.

Analyzes probe data clusters to detect lane closures despite GPS inaccuracy.

A navigation planning device determines positional relationships between waypoints to display indicator data for route optimization.

Segmenting map displays into dedicated route and object zones reduces user interaction time while maintaining full navigation information visibility.

A vehicle system requests map updates based on sensor status to configure safe operation after accidents.

Segmenting the interface into full and simplified states removes disabled keys, reducing cursor travel distance during address entry.