Controlling Traffic Signals TRIZ Cases

A traffic signal controller logs phase states and timestamps upon accident detection to enable precise post-crash analysis.

Infrastructure system detects approaching vehicles and pedestrians to provide real-time crossing indications via visual and audio signals.

A vehicle system manages user profiles through biometric verification and cloud synchronization.

Dual sound receivers convert acoustic signals into spectrograms to identify objects, bypassing camera viewing range limitations.

Overlapping Doppler detectors reconcile signals to reduce false alarms and enable timely alerts for wrong-way vehicles.

A wireless traffic head uses optical receivers and radio transceivers to identify vehicle preemption signals for automatic light control.

Near audio probe modules capture vehicle-specific acoustic features, enabling efficient noise pollution management without heavy computing power.

Wireless sensor nodes detect pedestrian presence to dynamically adjust traffic light states for safer road crossings.

Smart cameras replace inductive loops to detect vehicle types and numbers, resolving installation complexity.

An inclined cabinet surface prevents dirt accumulation while a capacitance sensor enables easy operation for visually impaired users.

A dynamic traffic sign control system adjusts signal phases based on real-time vehicle movement data and passing rates.

Navigation system segments data collection to improve route optimization accuracy while managing system complexity through dimensional organization.

Inner surface detection monitors particle deposits on optical elements, triggering alerts only when predefined limits are exceeded.

A motorway lane signaling system uses radar detection to identify objects in designated sections.

A road shape recognition device calculates approximation lines for near and far distance data groups to generate an accurate vehicle path model.

Automated traffic lane signal control identification matches vehicle throughput data to intersection paths using probe information.

Outdoor lamp camera detects events via image recognition to broadcast targeted road condition messages, resolving information loss and bandwidth waste.

A central server aggregates data from cameras, sensors, and GPS to adjust signal timing, resolving complexity trade-offs in intersection preemption.

Intelligent transportation system replaces mechanical barriers with digital signage and V2X signals to resolve static lane inefficiency.

A tactile warning pad integrates communication control and output devices to generate multi-modal alerts for pedestrians.

Wireless magnetometers detect train approach to extend preemption warning time, avoiding costly infrastructure redesign.

A system generates piece-wise sinusoidal representations of traffic arrival to determine optimal phase offsets between junctions.

A mobile device scans a crossing signal tag via near field communication to identify the correct intersection access point.

A processor adjusts traffic signal cycle times based on RFID vehicle counts.

A machine learning collision avoidance system leverages Multi-access Edge Computing and 5G NR networks to process vehicle telemetry data.

A pet containment collar uses satellite positioning data to determine subject location and operational mode.

Replacing wired infrastructure, the system uses vital message validation to maintain fail-safe operation while reducing device complexity.

Traffic data processing system detects lane directional changes to generate accurate routing instructions.

Radio terminal devices determine operation modes to synchronize transmission timing using relative time references from received frames.

An IoT management platform determines optimal tidal lane configurations using real-time sensor data and preset algorithms.

A vehicle road interaction signal control system calculates arrival times to determine optimal green light release orders.

Onboard equipment generates virtual safety messages for non-connected entities using predictive models to resolve detection gaps caused by occlusion.

Onboard control units adjust vehicle speed to optimize arrival times at scheduled pass events, reducing fuel waste from abrupt braking.

Segmenting autonomous driving into pre-recorded route modes reduces system complexity while maintaining safe navigation for daily commutes.

A cloud-enhanced traffic controller uses a connection agent to establish secure communication with a web service.

A one-way repeater server streams traffic signal data to user devices via a centralized controller.

Adaptive traffic signal uses sensor holes to detect vehicle presence, resolving safety risks in mixed autonomous environments.

Dynamic traffic signal timing adjusts green duration based on real-time vehicle position and velocity data to prevent vehicles from entering the dilemma zone.

A vehicular image projection system projects traffic signal symbols onto surfaces visible to pedestrians.

Periodic radio signal logging between vehicles and roadside units reduces privacy invasion and costs while maintaining reliable location tracking.

Dynamic phase timing adapts to real-time traffic flow, reducing vehicle wait times and pollutant emissions while maintaining low computing power.

SURTRAC allocates green time via decentralized single-machine scheduling at each intersection.

A modular decoy vehicle uses a remote sensor array to activate warning lights, deterring violations without manned patrols.

Projection unit projects road markings and traffic signals to alert following drivers, resolving safety risks during flexible general road operations.

A vehicle alerting system uses position data to warn drivers of approaching traffic.

Connected vehicle trajectory data identifies turning movements at intersections by establishing directional groups based on entry and exit headings.

A programmable traffic light controller modifies signal timing and intensity to simulate diverse driving scenarios.

Merging multiple detection functions into one area reduces installation costs while preventing spillback through dynamic green time adjustment.