Control With Pedestrian Guidance Indicator TRIZ Cases

A pedestrian comfort model evaluates street grid layouts using vehicular traffic data to predict comfort scores.

A notification system calculates lag time to align signal output with observer perception.

Segmented wearable devices emit audio alerts to warn officers of approaching vehicles, resolving blind side collision risks.

A vehicle management system adjusts arrival times using real-time user position data to optimize boarding operations.

Touch detection device coordinates vehicle movement with person intentions to prevent collisions.

A map display apparatus segments regions to prioritize landmark signs near the current position.

A crosswalk safety system uses cameras and sensors to capture license plates and pedestrian data for enforcement.

A hitch cross path alert system detects pedestrians near a vehicle and triggers audio or visual warnings to enhance safety.

A vehicle communication unit switches between a horn and speaker based on signal proximity to locate cars.

Segmented base plates protect embedded anchors from vehicle impact, enabling rapid repair without concrete work.

An on-board unit uses a machine-learning model to determine optimal communication parameters for vehicle coordination.

An edge device processes camera images locally to detect vehicles and track their movement in real time.

A mobile terminal requests and displays nearby vacant vehicles from a server to enable direct user selection.

A removable locator device retrieves location coordinates at regular intervals and stores the last position as a waypoint when it detects vehicle departure.

An acoustic representation system converts environmental data into accessible audio and tactile feedback.

Portable wearable uses behavior prediction algorithms to detect impending collisions, triggering vibration alerts and automatic emergency calls.

A wearable GNSS terminal acquires high-precision position data from multiple satellites to determine vehicle coordinates.

A mobile terminal determines user location and sends service requests to providers for real-time route tracking.

A vehicle alert system transmits operational mode data to pedestrian devices.

Reflective surface imaging detects hidden objects in blind spots, enabling path modification to avoid collisions.

A vehicle external notification device uses auditory signals to confirm pedestrian actions.

A parking system uses a single wireless communication contract to switch between vehicle and user device communicators.

An external vehicle display shows unique identification information to surrounding users when the car enters a designated pickup zone.

A parking assistance management device transmits vehicle position data from a user terminal to an agent terminal.

An information processing apparatus uses an intention discriminator to control crosswalk pattern projections based on observed pedestrian responses.

A workplace safety positioning system uses triangulation to track object locations and issue targeted alerts.

User terminals exchange operational data through stolen traffic channel timeslots, eliminating intermediate node overhead and reducing radio interface load.

A computing system detects user traffic at mass transit stops to surface alternate stop locations.

Mobile stations transmit delay zone data to computing devices that process the information to provide accurate travel time estimates.

A mobile device marks parked vehicle locations using sensor data and location technologies to resolve weak GPS signal availability.

Wireless nodes share real-time video streams to extend visibility, enabling detection of approaching vehicles in blind spots without overwhelming the network.

A communication system transmits emergency messages to electronic devices in vehicles using frequency-emitting transmitters and matching security codes.

Road sensors receive signals from a blind-guiding terminal to locate the user, resolving low GPS accuracy at intersections.

An e-ink smart ring displays driving conditions on the finger, eliminating gaze diversion from the road and reducing driver distraction risks.

A roadside base station exchanges vehicle and pedestrian data via dual radio schemes.

Segmented notification actions resolve confusion when multiple conditions trigger simultaneously, ensuring timely safety alerts.

A digital parking management system allocates available spots to authenticated users via mobile applications.

A pedestrian notification system acquires danger spot data and distinguishes driver inattention from pedestrian errors to provide targeted alerts.

Server-client track prediction iteratively updates benchmarks with driver operations to resolve low accuracy in conventional static models.

A mobile real-time driving safety system integrates camera, GPS, and motion sensors to analyze behavior.

A wearable navigation device transmits sensory directions via haptic and audio cues to guide users along a path.

An electronic device compares atmospheric pressure against a threshold to determine user elevation, resolving location estimation errors from distance sensors.

Segmented pixel columns and dynamic brightness patterns convey crossing permissions to color-blind pedestrians, resolving perception reliability issues.

Predicts individual pedestrian stopping times to adjust warning transmission timing, resolving the trade-off between safety reliability and system complexity.

Information processing apparatus estimates moving body type to select appropriate sensor data for user positioning.

An explainability system generates real-time notifications for unanticipated autonomous vehicle actions using historical user data.

A handheld mobile device displays a live camera feed to capture user-selected pickup coordinates.

A hearing impairment detection system infers user status and administers verification tests to produce assistance countermeasures.