MPhil in Intelligent Transportation
Hong Kong, Hong Kong
DURATION
2 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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STUDY FORMAT
On-Campus
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Key Summary
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Introduction
Since the early 1990's, Intelligent Transportation Systems (ITS) have been evolving in developed countries to cope with transportation problems such as traffic congestion and road safety issues caused by a growing population and continuous urban development. ITS combines leading-edge information and communication technologies used in transportation and traffic management systems to improve the safety, efficiency, and sustainability of transportation networks, reduce traffic congestion and enhance drivers’ and passengers’ experiences.
The Master of Philosophy (MPhil) Program in Intelligent Transportation aims to provide a well-rounded education as well as rigorous research training to prepare students to become versatile and knowledgeable professionals in intelligent transportation engineering and technologies. Areas of research may include computational modeling, floating car / floating cellular data, inductive loop/video vehicle/Bluetooth detection, information fusion from multiple traffic sensing modalities, collision avoidance systems, safety and security of the unmanned aerial vehicle, green aviation technologies, public transportation systems such as railway systems, connected vehicles (CV), autonomous vehicles (AV), and shared mobility.
MPhil graduates should be able to demonstrate a good mastery of knowledge in transportation technology, system design, and public policy aspects, making contributions to the industry.
Admissions
Program Outcome
Learning outcomes
On successful completion of the MPhil program, graduates will be able to:
- Demonstrate mastery of knowledge in traffic management systems and transportation engineering and technologies;
- Identify scientific and engineering significances in intelligent transportation technologies including computational and analytic models, tools, solutions, and techniques;
- Demonstrate critical thinking and analytical skills that are essential for traffic management;
- Translate and transform fundamental research insights effectively into practical applications in the industry; and
- Apply cross-disciplinary knowledge and skills to enhance the transportation systems and develop new technologies.