I. Core Architecture: Cloud-Edge Collaborative Decision-Making System
The "Intelligent Decision Hub" is a hierarchical intelligent system that restructures the idea of a single central platform. It includes a central cloud platform and edge intelligent agents installed along the roadside:
Central Cloud Platform: It is the mainbrain for the macro-strategy formulation, data collection, and analysis as well as coordination of the entire road network.
Edge Intelligent Agents: As the "nerve endings" and "decision-making cerebellum" of the hub on the roadside, they perform the on-site work of real-time perception, analytical computing, and control execution.
These two entities collaborate towards ensuring global optimality of decisions and local-level real-time efficiency.
II. Key Component: Decision-Making Capabilities of Edge Intelligent Agents
Edge intelligent agents act as the physical carriers and capability embodiments of the Intelligent Decision Hub on the roadside. They combine ultrahigh AI computing power and have the following core decision-making and control functions:
Holographic Perception and Diagnosis:
By linking to multi-source detection equipment like radars and radar-vision integrated devices, the system gets to know the status of all the traffic participants--motor vehicles, non-motor vehicles, and pedestrians-in real-time.
On the basis of holographic data, the issues of intersection channelization and signal timing are intelligently diagnosed, thereby giving scientific suggestions for the optimization of road organization.
Real-Time AI Signal Optimization:
This is the major intelligent decision-making application. Edge intelligent agents interact with signal controllers of diverse brands, and employ deep learning and other such algorithms to do the real-time analysis of the intersection traffic flow.
On the basis of this study, optimal signal control strategies are created, and second-level adaptive control of signal controllers is effectuated. Thus, the intersection traffic efficiency is dynamically increased and congestion is relieved.
Priority Passage for Special Vehicles:
For instance, the Intelligent Decision Hub can come up with priority passage plans for public transport vehicles and emergency vehicles at any time based on their real-time locations and intersection phases. Edge intelligent agents subsequently manipulate the signal controllers in carrying out these plans to facilitate the special vehicles' efficient passage.
Vehicle-Road Collaboration Services:
Turning to On the Road Intelligence (Edge) the agents there could transmit through the RSU/OBU, in few milliseconds key data such as traffic light colors and countdowns to intelligent connected vehicles.The latter then become high-level short-term decision-making bases for assisted driving. Furthermore, they may comply with the vehicle 'requests' for reverse control thus broadening collaborative application scenarios.
III. Decision Extension: Vehicle Safety Early Warning Technology
Furthermore, the idea of an Intelligent Decision Hub may be promote
Multi-Source Fusion Ranging and Early Warning: To solve vehicular blind spots problem. A perception solution that merges cameras and ultrasonic radars has been selected. Through a weight allocation algorithm, the hub system combines visual and radar data, thus surpassing single-sensor limitations in difficult weather conditions. Hence, it can realize precise measurement of the distance and speed of the obstacles around the vehicle. When the system feels that the distance to the vehicle has reached a dangerous level it instantly decides and gives an early warning (e.g. obstacle framing and highlighting in red) to attract the driver's attention and thus help in the collision prevention.
Summary
In short, the Intelligent Decision Hub with edge intelligent agents as the leading execution units has effectively accomplished a smart traffic decision-making mode transition from the cloud to the network edge. By perfecting the full cycle of "perception - analysis - decision-making - control" at intersections and road sections, it enables traffic management that is real-time, accurate and intelligent. It is the core foundation for a new generation of smart traffic systems.
FAQ – Frequently Asked Questions
1. When and where will the Expo be held?
From May 13 to 15, 2026, the Expo will be held in Hall C of the XICEC (Xiamen International Conference and Exhibition Center), Xiamen, China.
2. What is the exhibition scale?
The event covers an area of 40,000 m² and features 350+ companies. It is expected to attract more than 30,000 professional visitors from all over the world.
3. What activities are included?
There will be more than 80 professional forums and events that will discuss innovative topics such as smart mobility, transportation communication, safety, and sustainable development.
4. How many countries and regions are involved?
The participants from more than 80 countries and regions will be attending the conference, which makes it a global meet for intelligent transportation innovation.
5. Are there opportunities for cooperation?
Yes. With more than 1,000 global partners, the Expo is full of business collaboration, technology exchange, and investment opportunities.
6. Who can I contact for details?
Kindly get in touch with the Organizing Committee through the Contact Us section on the official website if you'd like to know more.
