AI Predictive Maintenance Solution

● Smart Streetlights: Utilizing sensors to monitor the operation status of streetlights, including voltage, current, power, brightness, temperature, etc. Through AI data analysis, predicting the wear and tear of streetlights and maintenance needs, providing optimal maintenance timing and solutions.
● AI Traffic Signals: Using sensors to monitor the operation status of traffic signals, such as signals, phases, voltage, current, power, etc. Through AI data analysis, predicting the probability and reasons for traffic signal failures, and providing optimal maintenance timing and solutions.

● Traffic Flow Monitoring and Warning: Through AI data analysis, predicting changes in traffic conditions, providing real-time traffic information such as traffic maps, travel times, traffic indices, etc. When accidents or congestion occur, issuing warning signals to offer emergency response or diversion plans.
● Traffic Flow Control and Dispatch: Dynamically adjusting the operation of traffic facilities, such as traffic lights, gates, toll booths, etc., using data to achieve optimal traffic distribution and reduce waiting times. Providing optimal driving routes and speed recommendations to minimize fuel consumption and emissions, enhancing safety and comfort.
● Traffic Flow Simulation and Optimization: Utilizing collected traffic flow data to simulate different traffic scenarios and strategies' impact on traffic. This includes road reconstruction, traffic planning, and traffic management. Through AI data analysis, identifying the optimal traffic flow optimization solution to enhance the efficiency and quality of traffic services.

Utilizing sensors and cameras to monitor traffic conditions at intersections, the system dynamically adjusts the green light duration or extends the green light through AI data analysis. This allows for quick responses to changes in traffic conditions and provides optimal maintenance timing and solutions. The technology enables real-time reactions to special events, prioritizes public transport or emergency vehicles, and reduces vehicle waiting times and emissions.

Through 5G communication, information such as the location, speed, and direction of responding emergency vehicles is transmitted to the cloud or edge computing devices. When an emergency vehicle approaches an intersection, the intersection's signal controller receives the vehicle's information. Through AI data analysis, the system calculates the time the emergency vehicle will reach the intersection and predicts the traffic conditions. Prior to the emergency vehicle's arrival, the signal controller dynamically adjusts the green light duration or extends the green light, allowing vehicles in the same direction to pass quickly. On the opposite side, it extends the red light duration, facilitating the smooth passage of the emergency vehicle.