I.Duolun Intelligent Traffic Signal Cloud Control Platform

Grounded in the Internet + Traffic philosophy, this next-generation platform leverages cutting-edge technologies like cloud computing, big data, and artificial intelligence. Built with a cloud-native, fully browser-based (B/S) architecture, it delivers robust functionality beyond traditional signal control systems.

Core Capabilities:

1. Multi-level adaptive signal optimization

2. Real-time online traffic flow simulation

3. Multi-scenario strategy control

4. Integrated multi-source data evaluation

5. Intelligent operational maintenance

6. Vehicle-Infrastructure Cooperative (V2X) services

II. Urban Traffic Signal Control System

The Traffic Signal Control System is designed to alleviate urban congestion by integrating modern computing, communications, and control technologies. It enables real-time, networked control of regional traffic signals, utilizing advanced traffic control methodologies and sophisticated software architecture.

The system delivers comprehensive functionality, including real-time intersection signal control, area-wide coordination, live status monitoring and querying, fault detection and localization for signal equipment, as well as remote upload/download of timing plans. It supports multi-user remote access with robust permission management. Through holistic analysis of global control data, the system facilitates efficient decision-making and command for optimized traffic management.

III. Intelligent Timing Tool System

The Intelligent Timing Tool System constructs detailed lane-level channelization models for intersections, establishing a refined digital representation of the urban road network. By integrating multi-source data from traffic flow detectors, electronic police systems, and other sources, it analyzes traffic pattern variations across different time periods and holiday characteristics. Leveraging big data analytics and intelligent algorithm models, the system automatically generates scientifically sound signal timing plans tailored to specific time frames.

The system supports green wave coordination control for arterial roads consisting of multiple adjacent intersections, enabling automatic generation and optimization of progressive signal timing to enhance overall arterial traffic efficiency. Additionally, through simulation modeling and evaluation metrics including traffic volume, vehicle delay, speed, and travel time, the system conducts comprehensive assessments of multiple timing scenarios to identify the most stable and reliable optimization solution.

Traffic management authorities can flexibly adjust the intelligently recommended solutions based on practical needs and rapidly deploy them to signal controllers through one-click distribution. This system significantly reduces the workload of intersection parameter configuration, decreases dependency on specialized timing personnel, and improves both the efficiency and rationality of timing plan updates, effectively supporting large-scale urban road network management through regular, cyclical optimization.

IV. Emergency Vehicle Priority System

In urban emergency response, traffic congestion and safety concerns often hinder the rapid, secure, and precise execution of rescue operations. To address this critical urban challenge, the Duolun Emergency Vehicle Priority System deeply integrates IoT, big data, and cloud-edge intelligent control technologies. It establishes seamless coordination between emergency vehicles and traffic signals.

When an emergency vehicle is dispatched, the system automatically adjusts traffic signals along its route to green, creating a continuous "green wave" corridor. This ensures unimpeded passage, enabling swift and safe arrival at the destination. The system achieves the triple objectives of minimizing response delays, reducing disruption to regular traffic flow, and lowering the dependency on onsite police presence and infrastructure deployment.