Marine Craft Traffic Control TRIZ Cases

Image segmentation and object detection distinguish docks from walls or barges and verify open water for autonomous vessel docking.

Proximity sensing sets direction-specific speed and acceleration limits so a vessel maintains buffer distance and avoids collisions near obstacles.

Trajectory planning uses wind, wave, and current uncertainty to predict obstacle margins and generate safer feasible routes for marine vessels.

Real-time vessel path data is matched with historical navigation patterns to recommend COLREGS-compliant maneuvers in complex collision scenarios.

Real-time proximity sensing and buffer-distance control progressively limit vessel speed toward nearby objects to help prevent collisions.

Proximity sensors and a controller progressively cap vessel speed near obstacles to maintain a preset buffer distance and prevent collisions.

Real-time multi-vessel tracking is matched with historical navigation data to predict collision risk and recommend timely avoidance manoeuvres.

Correlation across Doppler offsets helps LEO satellites separate overlapping AIS messages and decode ship traffic in dense maritime regions.

Time-period capacity windows guide road user speed or routing to avoid overload, cut fuel use, and improve slot utilization.

Congestion-based parameter switching helps track targets accurately across crowded and clear scenes while reducing target swaps.

Combining wearable radio signals with vessel motion sensing improves crew emergency detection and supports more accurate activity reporting.

Satellite imagery detects and classifies inland barges, filling AIS gaps for non-motorized traffic monitoring and movement status tracking.

Combines time-based and distance-based ship collision risk values so navigators can align warnings with their own assessment criteria.

Combining time-to-approach and ship distance with adjustable weighting helps align collision alerts with different navigator judgment criteria.

Occupancy sensors detect watercraft arrivals and departures, alerting marina staff to available slips and possible theft.

This case detects spoofed AIS locations by comparing vessel reports with terrestrial and satellite data, then verifies true paths.

Distributed receiver units on flying objects share superimposed AIS signals to resolve interference and improve detection reliability.

A complex event processing framework detects maritime anomalies using in-memory databases and real-time AIS data streams.

A signal processing device calculates instantaneous frequency change rates to detect distress signals accurately.

Compressing vessel trajectories via Douglas-Peucker algorithms reduces storage needs while maintaining accuracy for maritime traffic pattern identification.

An aircraft warning system retrieves obstacle height data from a database using identity information extracted from Automatic Identification System signals.

A composite map generation method uses variable grid widths to combine wide-area radar data with high-resolution LIDAR inputs.

Information display device estimates closest approach positions and projects risk areas onto a common reference frame.

A collision risk calculation device acquires traveling information on ships and produces future direction ranges based on past sailing data.

A radar tracking unit predicts echo mergence using target movement data to adjust control gains and display settings.

Multi-polarization antennas separate overlapping Automatic Identification System messages using computational decollision to improve detection accuracy.

Segmenting icons resolves the contradiction between displaying multiple targets and maintaining intuitive understanding of individual bearings.

A position estimation method updates model parameters using historical data sequences to determine accurate ship location predictions.

Deploying an aircraft with an AIS flying transmission unit relays maritime traffic signals to ships in remote areas lacking coastal stations.

Segmented sensor modules on an unmanned vessel identify rip currents and monitor water quality, enabling real-time alerts for beach safety personnel.