Controlling Traffic Signals TRIZ Cases

A signal machine alarm method extracts light-state data frames to calculate countdowns for real-time traffic control.

Dual conflict monitors verify audible pedestrian signals against traffic states, preventing incorrect outputs that endanger visually impaired pedestrians.

Sensor-equipped pavement markers dynamically adjust illumination intensity and color to enhance visibility during hazardous driving events.

Smart traffic cameras automatically create and validate detection zones, eliminating manual configuration errors while maintaining accurate traffic monitoring.

A mobile platform switches between cellular and DSRC networks to deliver traffic signal information reliably.

A road sign recognition method segments image data and evaluates text probability to identify potential signs.

Continuous phase duration generation resolves safety and computational trade-offs in existing second-by-second adaptive controllers.

Amplitude and frequency modulation of optical pulses prevents code interception and replay attacks in traffic preemption systems.

A gridlock detection system calculates intersection clearance metrics using vehicle speed and traffic light timing data.

A processing system calculates recommended vehicle speeds to maintain momentum through traffic control signals using real-time timing data.

A stop line searching device adjusts its detection area based on traffic light positions to improve identification accuracy.

Wireless handheld remote controls collapsible LED traffic signal units, eliminating worker exposure to active roadways during emergency setups.

Route guidance screen displays a walking action image showing motion toward a destination, resolving ambiguity in complex environments like station yards.

Backend computer fuses vehicle detection data to create an assignment table, resolving complex intersection mapping errors.

A traffic signal control system generates lane image templates to simulate real-time vehicle accumulation and optimize flow.

Standard vehicles transmit relative movement data to enable local traffic flow control without requiring specialized sensor infrastructure.

A smart roadside unit switches between high-bright and low-bright camera assemblies based on real-time light intensity detection.

A control method parses disparate annunciator attributes into a unified format for flexible deployment.

A traffic light control system adjusts right-turn signal timing based on detected oncoming vehicle speeds.

Connected vehicle trajectory data replaces physical detectors, estimating traffic volumes with 8% to 12% error to optimize signal timing.

Fusing beacon signals with first-person view sensor data estimates walking locations, overcoming traffic light color detection errors caused by occlusion.

A dynamic traffic control system uses a distributed ledger to record vehicle access agreements for contested roadway areas.

A target vehicle speed control unit calculates a reference range and sets an indication upper limit based on current speed.

On-board unit sends preemption messages to adjust traffic signals, resolving intersection safety and flow trade-offs.

A computer system generates a pace maker with an illumination configuration to actuate a device based on an actuation pattern.

Edge filtering on thermal background images detects environmental obstruction, triggering fail-safe mode to maintain traffic control reliability.

An intersection traffic signal indicator system displays oncoming lane status via V2V and V2I communication.

Traffic management system analyzes vehicle operation data and traffic light status to issue collision warnings.

A distributed traffic signal controller activates phases based on differential queue lengths between upstream and downstream links to maximize directed network throughput.

Distributed algorithm determines offset and green time split values to resolve scalability bottlenecks in adaptive traffic control systems.

A cloud-based system adjusts traffic light phases using real-time probe data.

Segmented traffic light elements display distinct colors and countdown timers to resolve driver uncertainty during phase transitions.

Video sensors identify common target paths to configure detection zones, eliminating manual calibration and reducing installation time.

A computer system generates driving paths for autonomous vehicles by calculating lateral distances from trajectory points to roadway features.

LED in-pavement lane markings dynamically adjust road width and lane count, resolving static geometry limits that cause congestion.

Wireless vehicle coordination and sensor feedback enable reliable emergency lane formation, resolving driver reaction delays during traffic jams.

A field device circuit maintains a predetermined voltage level on an output line to ensure reliable fault state notification.

Autonomous vehicles adjust routes using dynamic traffic signal timing data to reduce waiting times at intersections and enhance overall traffic throughput.

Sequential signal-emitting modules reduce driver confusion on curved pathways by providing clear directional guidance through radiofrequency-controlled arrays.

A traffic controller processes simultaneous cellular and radio frequency signals from mobile devices to modify intersection light states.

Server calculates cost measures for candidate phase sequences to resolve contradictions between pedestrian safety and car traffic flow.

Continuous probability updates resolve the trade-off between prediction accuracy and computational complexity, enabling precise autonomous navigation.

A data processing device estimates traffic queue lengths by analyzing density profiles derived from vehicle position data.

A traffic light control device detects approaching vehicles using optical signals to dynamically adjust signal states.

This traffic signal control system estimates inflow volumes via probe vehicles, enabling accurate parameter generation at intersections without physical detectors.

Traffic signal systems exchange pilot signals with vehicles to estimate position and direction, resolving GPS inaccuracy in urban canyons.

Multi-functional ambient light illuminates specific vehicle zones with colored alerts based on detected driver intent and traffic status.

Segmenting detection zones into immediate, standby, and transition areas reduces false warnings from position errors while maintaining accuracy.