Controlling Traffic Signals TRIZ Cases

Dynamic lane markings adapt to slow vehicles, restoring tunnel capacity without permanent structural changes or complex mechanical systems.

Network entities use vehicle position data to control traffic devices, avoiding invasive sensor installation costs.

A pedestrian behavior prediction device analyzes shape information from partial images to detect movement changes and estimate discontinuous actions.

Signal control device adjusts lamp display patterns to assist following vehicles.

A traffic detection device uses mobile device location data to send call signals to controllers.

Vehicles transmit route reservation speed curves to a traffic dispatch center for optimized intersection passage.

LiDAR sensors and video cameras calculate distance, speed, and angle metrics to detect near misses between traffic objects.

Communication nodes monitor vehicle proximity to sequentially activate roadside lights, reducing energy consumption in low-traffic areas.

A processor analyzes traffic data to detect deviations from historical average paths and communicates updated navigation rules to incoming vehicles.

A server-based traffic management system generates right-of-way indicators for vehicles approaching lane intersections.

Infrastructure cameras and sound sensors capture real-time signal data, enabling servers to distribute accurate switching timing to vehicles before arrival.

Automated channelization adjustment system detects non-motorized lane configuration issues using real-time traffic characteristics.

A dynamic right of way traffic system adjusts yield and priority signs using X2X sensors to detect vehicle presence on intersecting roads.

A logic-based controller tracks sensor data to predict maintenance needs for vehicle barriers.

A control terminal processes probe vehicle information to dynamically adjust signal parameters at intersections without central apparatus intervention.

Retro-reflective markers reflect electromagnetic radiation back to a detector, enabling reliable vehicle tracking in high-noise environments.

An adaptive stop sign integrates programmable light indicators to function as a dynamic traffic signal for autonomous vehicles.

Approach tag readers detect tagged buses to activate crossing controllers, preventing intersection delays while maintaining safety.

A traffic congestion prevention system calculates target states at upstream locations to manage flow before bottlenecks form.

A central system determines optimal routes for emergency vehicles using real-time traffic data.

A channel allocator assigns wireless resources based on vehicle travel direction to filter irrelevant data.

A traffic signal control apparatus acquires platoon length and downstream empty space length to determine signal color adjustments at intersections.

Dynamic speed bumps adjust height via sensors to reduce reckless driving and improve pedestrian safety.

A traffic control unit detects illegal vehicles in preset areas and transmits warnings to target vehicles.

Automated IP cameras capture vehicle images to estimate urban traffic movements, replacing costly periodic surveys with continuous real-time data collection.

A traffic information analysis apparatus estimates vehicle movement across intersections using collected intersection data.

A road traffic analysis apparatus processes mobile navigation data to determine signal phase adjustments.

Integrating a DSRC transceiver into a traffic light bulb assembly reduces installation complexity and cost while maintaining reliable signal coverage.

Network watcher application monitors system performance to resolve the contradiction between remote control efficiency and device complexity.

Dynamic traffic signal control adjusts light timing based on real-time vehicle operating characteristics to reduce congestion and improve fuel efficiency.

An external adaptive control system generates presence data to dynamically sequence traffic phases based on real-time vehicle sensor information.

An access control device estimates user waiting periods before the barrier to regulate flow.

Analyzes driving routes crossing region boundaries to determine real-time traffic information for navigation systems.

AI traffic system processes camera feeds to optimize signal timing, reducing intersection congestion and hardware costs.

Fixed and movable sensor portions detect housing misalignment, triggering automatic conflict management that terminates normal operation.

A driving assistance device provides red signal wait time information based on traffic signal state and vehicle speed.

Automated signal light control uses AI to process traffic flow data, eliminating manual determination errors and improving test reliability.

Simultaneous light pulse and radio wave transmission enables emergency vehicles to activate traffic signals across incompatible municipal infrastructure.

A V2X safety triangle reflector stores local vehicle data and broadcasts failure messages across cloud, infrastructure, and PCS channels.

Traffic light control assembly uses LIDAR sensors to detect vehicle volume and adjust signal timing dynamically.

A traffic data evaluation module processes basic safety messages to create geometric queue segments for length determination.

A public transit navigator collects physical and social data to deliver real-time route guidance.

Mobile devices transmit location data to traffic controllers, resolving pedestrian detection gaps in motor-centric systems.

Classifies user equipment by mobility and paging load to generate tailored tracking area identity lists, reducing serving gateway selection latency.

A signal control system switches to pedestrian separation mode based on real-time detection data.

A wireless communication system uses vehicle transceivers to exchange speed and braking messages between vehicles and traffic signals.

Dynamic traffic light timing adjusts signal durations based on real-time vehicle counts detected by cameras, reducing congestion caused by static schedules.

An additional blinking white light warns drivers of pedestrians, resolving safety gaps in standard traffic signals.