Traffic signal control machine Manufacturers

Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd.'s traffic signal control machine uses a variety of advanced sensing technologies and equipment for data collection. Traffic flow monitoring sensors, road cameras, traffic light sensors, speed detectors and other equipment work together to capture key information such as vehicle flow, pedestrian flow, traffic direction, speed and other key information on the road in real time.
Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd.'s flow sensors can monitor the traffic flow, speed and lane occupancy on the road section, accurately detect the traffic conditions of each vehicle, and provide real-time feedback on traffic density, providing data support for the intelligent adjustment of traffic lights; high-definition video monitoring, cameras can monitor the traffic conditions at intersections in real time, capture the dynamics of traffic participants such as vehicles, pedestrians, and non-motor vehicles, and further refine traffic flow data through video image analysis to improve the accuracy and multidimensionality of the data; speed detectors, through high-precision equipment such as lasers and radars, detect the speed of passing vehicles, provide speed data for traffic controllers, and then make intelligent adjustments to traffic lights.
The comprehensive application of all these devices enables traffic signal control machines to collect traffic data comprehensively and in real time, providing an accurate information source for traffic flow analysis.

The collected data is not limited to basic traffic flow and vehicle speed information. The system also has powerful data processing and analysis capabilities. traffic signal control machines at Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd. use built-in big data analysis algorithms and artificial intelligence technologies to deeply mine and process the massive traffic data collected, conduct real-time traffic condition assessments, and dynamically adjust the working mode of the signal lights based on the analysis results.
Traffic flow analysis: By analyzing traffic flow data, controllers can detect sections with dense traffic or congested areas in real time. The system will adjust the timing of signal lights according to the traffic conditions of different sections to optimize traffic flow. For example, in the direction of heavy traffic, the system will give priority to extending the green light duration to avoid vehicles from being congested due to too short signal lights. Speed ​​distribution analysis: By analyzing the vehicle speed, the controller can judge the maneuverability on the road, whether there is a congestion problem or whether the vehicle is driving smoothly. On this basis, the signal controller will adjust the signal light cycle according to the real-time vehicle speed to avoid uneven traffic flow; Traffic trend prediction: The system can not only analyze the current traffic conditions, but also predict traffic trends based on historical data. By analyzing data from the past few weeks and months, traffic signal control machines can predict peak traffic flow, formulate signal light scheduling strategies in advance, and avoid sudden traffic congestion.

Through in-depth analysis of these data, the traffic signal control machine of Yangzhou Shangyuan Intelligent Transportation Technology Co., Ltd. can finely manage traffic flow distribution, not only dynamically adjust the signal light cycle according to traffic demand at different time periods, but also optimize the traffic flow in each lane and direction according to specific conditions. For example, during peak traffic hours, the system can automatically increase the green light duration of the main road to optimize traffic flow; at night when traffic volume is low, the system can automatically shorten the green light time or switch to low-energy mode. Through this intelligent signal control, not only can the waiting time of car owners be reduced and traffic pressure can be relieved, but also fuel consumption and exhaust emissions can be effectively reduced, promoting environmental protection and sustainable development. In addition, based on refined management, the system can also automatically identify traffic flow patterns at intersections, such as peak and valley traffic, analyze traffic congestion points and bottleneck areas, and provide scheduling suggestions. Combined with the on-site command and dispatch of traffic police, the controller can flexibly adjust the timing of signal lights to better respond to complex traffic needs.