Intelligent signal control scheme based on intersection video images and MEC calculation
With the increasing complexity of urban traffic, the traditional fixed signal timing scheme is no longer able to effectively cope with the real-time changes in traffic flow. In order to improve traffic efficiency and reduce congestion, intelligent signal control schemes based on intersection video images and MEC (Multi-access Edge Computing) have emerged. Our solution utilizes the powerful computing power of MEC and real-time data from intersection video images to achieve dynamic adjustment of signal lights to enhance the intelligence of traffic management.
Program Components
Video Image Acquisition and Processing
HD cameras are deployed at each intersection to collect real-time data such as traffic flow, speed and queue length of vehicles and pedestrians. Through edge computing nodes, video images are analyzed in real-time to extract key traffic information.
MEC Computing Platform
Deployed on the roadside, the MEC gateway is able to quickly process and analyze the data after receiving the video image data to generate a traffic flow model.The MEC platform also supports a variety of algorithms, such as vehicle detection, pedestrian recognition, speed measurement, etc., and is able to predict future traffic conditions in real time.
Intelligent Signal Light Control
Based on the traffic flow model generated by the MEC computing platform, the intelligent signal light control system adjusts the signal light timing strategy in real time. The control strategies include extending or shortening the green light duration, adjusting the signal cycle, and even prioritizing the release of emergency vehicles under specific circumstances.
System Communication Architecture
The whole system builds a dedicated communication network through industrial switches to interconnect MEC nodes, cameras, and signal controllers at each intersection to achieve low-latency real-time data transmission, and MEC nodes can also work together in a distributed manner to achieve coordinated optimization of regional traffic.
Roadside Intelligent Integrated Communication Cabinet
As the base of transportation digital hardware, the intelligent cabinet is designed based on ARM Microcontrollers technology architecture, specially developed to meet the demand for remote intelligent control of access devices in intelligent transportation scenarios, with embedded power supply guarantee system, AC/DC power control and metering system, sensing data acquisition system, network routing and switching system, and remote control system, etc. It integrates the above devices in a unified arrangement. It integrates the unified arrangement of the above equipment and the integration of power distribution and communication, which can be used with MEC edge computing technology to monitor and control road test equipment in an all-round way, ensuring smarter roads and zero data interruption.
Based on its highly integrated characteristics, the modules such as equipment information acquisition, IoT sensors, socket current and voltage, PLC function, automatic uninterruptible power supply, ring control data, heat dissipation fan, laser detection, box impact and bluetooth switching locks, etc. are all independently customized and developed, and are installed in specific parts of the box in embedded way, and all of them are linked through the security private protocol.
Program Advantages
Real-time response
Based on video images and MEC calculation, the solution can respond to changes in traffic conditions in real time, avoiding the delays caused by the fixed timing scheme of traditional signals.
Optimize Traffic Flow
Through accurate traffic flow model prediction, the signal control system can effectively reduce vehicle waiting time and traffic congestion, and improve the overall traffic efficiency.
High Reliability
The edge computing capability of the MEC platform enables the system to have strong processing power and high reliability, and is equipped with high-efficiency industrial-grade communication equipment for networking, which avoids system failures caused by network delays or central computing failures.
Easy Scalability
The solution supports modularized design, which is easy to expand among different intersections and areas in the city. As traffic conditions change, the system can quickly adjust algorithms and strategies to adapt to new traffic demands.
Data Support Decision Making
The large amount of traffic data accumulated by the system can be used for subsequent urban traffic planning and management decisions, providing scientific data support for the government.
Application Scenarios
This solution is applicable to major urban arteries, high-traffic intersections, and areas with complex traffic. Through the combination of MEC and video images, the intelligent signal control system can significantly improve the efficiency of traffic management and provide strong support for the intelligent and digital transformation of urban traffic. Nearly 1,000 points have been deployed in traffic congested roads in Shanghai, Zhengzhou, Huzhou, Xianning, Yanji and other cities, and the pilot application of this program has achieved remarkable results. Through intelligent signal control, the average passage time of the intersection has been reduced by 20%, and the traffic accident rate has been reduced by 15%, realizing the double enhancement of road passage efficiency and safety.
