Regarding the current technological progress and the implementation of a scenario, the artificial intelligence application in urban mobility mainly indicated the three "high-speed" coretracks.
The primary line is traffic management and services. Using AI, the whole network between humans, cars, and streets can be optimized not only by the information gathering density and volume but also by the information processing level. Then the system which accepts the data, is feeding the data to traffic managers via different channels, deep intelligent research and analysis of traffic elements such as people, vehicles, roads, and incidents are done; thus, it really understands the transformation of traffic control-from reactive to proactive, from sporadic management to long-term management, and from extensive management to accurate management. Hence, urban traffic managers are provided with a great intelligent analysis tool.
The second line is transportation and travel services. This line, by implementing futuristic information and communication technologies such as AI, big data, and the Internet of Things (IoT), perfectly merges new technologies with the old transport system thus deriving a new model of "rational online resource allocation and efficient and high-quality offline operation". AI can penetrate deeply into the whole transport management system to create a live, accurate, and efficient integrated transport and management system. In this way, the system can ensure close coordination and harmony between humans, cars, and roads so that the synergistic effect is exploited, transport efficiency is considerably increased, traffic safety is secured, the transportation environment is enhanced, and energy utilization efficiency is raised.
The third line is intelligent connectivity and autonomous driving. An intelligent connected vehicle is a vehicular communication system based on the Internet of Vehicles (IoV) combined with an intelligent vehicle. The car, which is equipped with the advanced devices like several AI sensors, controllers, and actuators and is also integrated with the latest communication and network technologies, attains the intelligent interchange and sharing of information between the car and the driver, other cars, roads, and backend systems; hence, it can offer safe, comfortable, energy-saving, and efficient driving. Intelligent connected vehicles comprise two main technical routes: intellectualization and connectivity. They make intelligent information be communicated to and shared by vehicles, roads, humans, and the cloud, and also have such features as complex environment perception, intelligent decision-making, and collaborative control.
The smart digitally-based management and control platform for highway tunnels is aimed at achieving more efficient, safer, and more intelligent tunnel management by creating the digital version of the tunnel. The solution is organized around six-layer architecture: perception layer, technical support layer, digital base layer, application support layer, application system layer, and presentation layer.
Perception Layer: The main work of this layer is the real-time collection and acquisition of various kinds of data and information of the transport domain. It includes video perception, traffic perception, traffic incident perception, traffic environment perception, and equipment perception. After being unified and analyzed, these data become the main source of information for traffic management, decision-making support, traffic flow optimization, road safety, and efficiency improvement.
Technical Support Layer: It offers the most essential technical frameworks as well as the instruments that are planned for system stability and high performance. Some of these are load balancing technology, caching mechanisms, message queues, container technology, virtualization technology, and security technology. The combined use of these technologies lays down a solid technical foundation for the upper-layer business, thus, it ensures that the system runs efficiently, reliably, and securely.
Digital Base Layer: It includes four main components: a data middle platform, a digital twin base, an algorithm service center, and an IoT platform. The data middle platform is the central integrating and managing data hub for the different data resources. It guarantees data consistency and availability. The digital twin base, using such technologies as BIM (Building Information Modeling) and GIS (Geographic Information System), produces very detailed virtual models, thus allowing exact matching and simulation of the real world. The algorithm service center is the major provider of data analysis and processing power to support intelligent decision-making and prediction. The IoT platform is the one that connects and monitors the various front-end perception devices; it collects real-time data and equips the system with complete perception capabilities.
Application Support Layer: This layer is the main fundamental system that offers the necessary support services without which the smooth functioning of the application systems would not be possible. They include unified identity authentication, a configuration center, a permission system, and a process engine, to name but a few. Together these elements lay down a firm operational foundation for the application systems, extend the system's capabilities in terms of flexibility, maintainability, and scalability, and furthermore, they make efficient management and stable operation of the application systems possible.
Application System Layer: At first, a cockpit by comprehensive manner extending the data analysis and the visual presentation capabilities thus enabling the managers to have the access to the monitoring of the tunnel operation status as well as the quick reaction to different types of incidents in the real-time mode. Smart tunnel section, secondly, is mainly equipped with the automatic observation, analysis, and management of the tunnel as its purpose.
Presentation Layer: This layer's role is to present complex data and information to users in a simple and user-friendly manner. Be it through PCs, large screens, or mobile devices, it changes data into simple graphs and views thus making the information more accessible and less time-consuming.
FAQ – Frequently Asked Questions
1. When and where will Expo be held?
The Expo is scheduled to be held from May 13–15, 2026 at Hall C, Xiamen International Conference and Exhibition Center (XICEC), Xiamen, China.
2. What is the scale of the exhibition?
The event is a 40,000 m² show characterized by 350+ exhibitors and over 30,000 professional visitors from all over the world coming to it.
3. What activities are included?
There will be more than 80 professional forums and events to talk about such topics as smart mobility, transportation communication, safety, and sustainable development.
4. How many countries and regions are involved?
There will be participants from more than 80 countries and regions thus making it a world meet for the exchange of ideas and innovations in intelligent transportation.
5. Are there cooperation opportunities?
Yes. The Expo is a home of more than 1,000 global partners thus providing many opportunities for business collaboration, technology exchange, and investment.
6. Who can I contact for details?
If you want more details, please contact the Organizing Committee via the "Contact Us" section of the official website.
