2025-26

The course aims at providing students with a fundamental and sound understanding of the modern signalling systems for the railway and metro lines. The course covers the train time table and headway, trackside signalling equipment, automatic train supervision and automatic train protection systems, interlocking principles, block concepts (moving block and fixed block systems), Communication-based train control systems (CBTC) and China and European Train control systems (CTCS & ETCS). 

By the completion of this module, students will be able to understand and apply:

1. the concepts and operating principles of signalling systems including the international designs and engineering practices, 
2. understand the latest signalling systems (CTBC, Communication-based Train Control System for metro lines, ETCS, European Train Control Systems and CTCS, Chinese Train Control Systems for high-speed rails and main lines; ATO, Automatic Train Operation; ATP; Automatic Train Protection, etc.) and
3. analyse the real-life applications of signalling systems for the metro lines, high speed rail lines and main lines.

This course provides a general introduction to neural networks, fuzzy systems and genetic algorithms.  The fundamental concepts and techniques of these three areas will be given. The course will also provide examples on the application of neural networks, fuzzy systems and genetic algorithms to a variety of engineering problems.

This course will cover three important topics in the field of Applied Artificial Intelligence.  By the end of this course, student should possess a firm grounding in the concepts and techniques of neural network, fuzzy system and genetic algorithm.  The student should be able to apply the acquired knowledge to the development of intelligent systems or to the exploration of research problems.