I. Core Framework: Constructing the Groundwork for Smart Operation
The three core configurations of "perception - positioning - decision-making" of intelligent railway mobile equipment (including trains and service vehicles) form a complete intelligent system:
1. Multi-Dimensional Sensor Matrix: As the "perceptual terminal", it includes three scenarios: environment, equipment, and passenger flow. Environment sensors (LiDAR, cameras) detect obstacles on tracks and weather; equipment sensors (temperature, pressure sensors) monitor parameters of the engines and braking systems; passenger flow sensors (infrared counters) measure carriage density and send data in real time for decision-making.
2. High-Precision Positioning System: Achieving "spatial anchoring", it gets the exact location (error ≤ 10 cm), speed, and direction of the vehicle. This is used for precise autonomous driving docking and dispatching center position data for overall scheduling support.
3. Embedded AI Module: As the "intelligent brain", it has deep learning algorithms for rapid analysis and judgment of data from sensors and positioning systems. Besides, it can also enhance models by historical data, thus being the core of the implementation of intelligent functions.
II. Three Core Intelligence Features: Revolutionizing the Operator’s Habits
The first core configuration empowers the device three breakthrough functions, which facilitate the switch from "human-led" to "autonomous intelligence":
1. Full-Scenario Autonomous Driving
Logic: AI designs routes basing on positioning data and it changes strategies on the fly by using environmental sensor data (e.g. slowing down to evade a dust cloud, calculating station stop time by passenger flow) without any human intervention during the whole process;
Benefits: The elimination of human mistakes (e.g. excessive speeding and missing stations) is done, the driving stability is increased by 40%, the continuous 24/7 operation is possible, and the line utilization is bettered.
2. Full-Lifecycle Self-Diagnosis
Logic: Machine sensors gather parameters of the main parts; AI matches the data with the "health threshold database" to find out the most probable fault sources and (ex. brake leakage, bearing wear) production of maintenance reports to be sent to the operation and maintenance center;
Benefits: It is changed from "post-fault maintenance" to "pre-fault early warning", the faults are spotted as much as 48-72 hours before their occurrence, the unexpected shutdown rates are lowered by 50%, and the maintenance cost is optimized.
3. Dynamic Dispatching Adaptation
Logic: Via 5G/Internet of Things (IoT) equipment condition and passenger flow data are shared; upon receiving dispatching instructions (e.g. extra trains to be added, other vehicles to be avoided) AI quickly works out the adjustment plan and speed regulation, as well as route switching, is done automatically;
Benefits: The fixed timetable limitation is overcome, train interval during peak hours is reduced from 5 minutes to 3 minutes, and the line traffic efficiency is increased by 25%.
III. Core Value: Three Dimensional Upgrades
1. Efficiency Improvement: The resource optimization through autonomous driving and dynamic dispatching leads to a 30% increase of the daily passenger transport capacity, a 25% increase of the daily freight transport volume, and a reduction of the operating costs;
2. Safety Enhancement: The self-diagnosis feature that prevents faults and the self-driving that lowers the number of mistakes lead to a decrease of the track accident rate by more than 60%, thus saving the safety of people and goods;
Experience Optimization: Precise docking makes it easy for passengers; passenger flow detection adjusts the atmosphere in the carriage (e.g. in a crowded area the temperature is lowered), thus, passenger satisfaction is increased by 35 percentage points; in the case of freight, the visualization and control of cargo transportation enhance the experience of shippers.
FAQ – Frequently Asked Questions
1. When and where will the Expo be held?
The Expo is scheduled for 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 covers an area of 40,000 m² and is composed of 350+ companies. It is expected to attract over 30,000 professional visitors from all over the world.
3. What is included in the activities?
There will be more than 80 professional forums and events that will delve into topics such as smart mobility, transportation communication, safety, and sustainable development.
4. How many countries and regions are involved?
Participants from over 80 countries and regions will be present, making it a worldwide meeting for the intelligent transportation innovation.
5. Are there cooperation opportunities?
Indeed. With more than 1,000 partners from around the world, the Expo is a source of plentiful opportunities for business collaboration, technology exchange, and investment.
6. Who can I contact for more details?
If you want to know more, please contact the Organizing Committee by using the Contact Us section on the official website.
