Control With Pedestrian Guidance Indicator TRIZ Cases

Cloud managed directional speakers resolve communication gaps by transmitting targeted audio messages from autonomous vehicles to pedestrians.

Mobile terminal uses built-in sensors to detect spatial hazards and output timely warnings via display or audio.

A traversable road marking integrates photovoltaic zones with light-emitting diodes to generate and store electrical energy for active illumination.

A wearable device analyzes motion and sound data to alert users of environmental risks, addressing awareness loss from technology distraction.

A radio mesh network system characterizes proximity risks using two-way ping signals between source and target devices.

A pedestrian crossing warning system emits beamformed audio signals to alert individuals at risk of collision.

A vehicle communication device estimates surrounding terminal positions using unencrypted low decimal place coordinates to reduce processing load.

A mobile device system estimates parking locations using combined GNSS speed and pedometer data for automatic event detection.

Convolutional neural networks analyze CCTV and smartphone data to detect social distancing violations in real-time.

Sensor system detects approaching vehicles and pedestrians to issue real-time safety directives for traffic circle navigation.

A moving body positioning device collates motion velocity vectors from a monitoring camera with internal sensor data to maintain accurate tracking.

Dynamic network architecture using vehicles as mobile access points maintains reliable connectivity in high-mobility environments with dense device arrays.

VRU terminal uses network feedback to synchronize sleep cycles, ensuring reliable safety message delivery while minimizing energy usage.

A mobile device system retrieves and presents detailed descriptions of nearby points-of-interest using GPS coordinates.

Dual AI model predicts accidents via shallow and deep learners, identifying danger zones before vehicles enter to provide sufficient reaction time.

Control circuitry detects emergency vehicle actions and transmits notifications to nearby pedestrians or cyclists via wireless communication channels.

Autonomous navigation system segments trajectory prediction into independent motion models to improve accuracy without increasing computational complexity.

Mobile devices establish peer-to-peer networks to calculate collision risks using GPS data, eliminating expensive vehicle radar hardware.

Sensor-equipped mobile devices filter notification frequency by geographic scope and temporal proximity to prevent collision fatigue.

Infrastructure uses cameras and neural networks to detect non-equipped vehicles, resolving V2V communication gaps that cause intersection collisions.

A bus stop time informing system detects passengers with disabilities using image processing to predict boarding duration.

A wearable alert device detects vehicle signals and issues local alerts to vulnerable road users.

Detector feedback and priority prediction prevent notification overlap, ensuring clear safety information for pedestrians.

A vehicle control system selects dynamic prompt modes like light strips based on pedestrian distance to enhance interaction.

A control section prioritizes safety notifications based on zone urgency to deliver timely alerts.

Surrounding vehicles relay signal strength data to determine target vehicle position, resolving GPS inaccuracies in enclosed parking structures.

Analyzes pedestrian head pose orientation to distinguish attentive users from distracted ones, enabling targeted collision mitigation for autonomous vehicles.

Biometric secret keys enable secure passenger verification without storing raw data, resolving security risks from stolen devices.

Pairing RFID tags with identifiers resolves weak GPS signals in multi-story garages by using reader triangulation.

A vehicle detection system transmits pedestrian location data to portable terminals for targeted safety alerts.

Autonomous vehicles use pre-generated pedestrian behavioral profiles to anticipate movements and resolve safety complexity trade-offs.

Dynamic speed parameters adjust for crowd density and environmental factors, resolving the contradiction between calculation simplicity and prediction accuracy.

DSRC-enabled sensors trigger segmented LED lights along crosswalk edges, providing precise pedestrian location data to drivers and reducing collision risks.

Clothing-integrated circuitry detects hazards and broadcasts alerts through displays, speakers, and pulsers to improve situational awareness.

Mobile devices transmit location data to traffic controllers, resolving detection gaps for non-metal objects at intersections.

A vehicle allocation system calculates a common alighting point for users within a predetermined range to consolidate stops.

An introduction support apparatus calculates a first evaluation index from vehicle and pedestrian movement data within an intersection measurement zone.

An in-vehicle device estimates vehicle routes and transmits proximity data to roadside units.

A position detecting system extracts target object shapes and associates them with identification information for accurate indoor tracking.

Processor evaluates intersecting trajectories to issue external hazard warnings, reducing collision risk for pedestrians and animals.

A visual signal broadcasts the ratio of automated vehicles to pedestrians via external indicators.

Reconstructs individual passenger trips from automatic fare collection records to generate precise urban mobility demand models.

Information processing apparatus issues audio or vibration alerts when user terminals approach designated pickup zones.

Storing the driving trajectory allows defining any handover point along the path, resolving accuracy issues in restricted transmission environments.

Segmented solar flashers use wireless links to extend detection range, reducing false activations and visual noise for residents.

A parking information system determines vehicle location using GPS and sensor data to output precise positioning details.

Controller segments pedestrians into groups based on speed and orientation, delivering targeted visual alerts to prevent confusion.

A hand-portable electronic device uses a detection-and-ranging element to transmit electromagnetic signals for spatial awareness.

Ground markers enable dynamic weighting of camera and radar data, resolving detection reliability issues caused by adverse weather.

A controller circuit switches output devices between audible and visible interaction modes to convey messages from automated vehicles.