Smart urban mobility and digital twins

This unit is designed to provide a deep understanding of urban mobility, fundamental principles and challenges, including sustainable mobility, intelligent transportation systems (ITS), and data-driven approaches. You will gain a comprehensive understanding of the concept of digital twins, their architecture, and the various data sources contributing to their creation and operation. The course emphasises practical implementation to design, develop, validate and optimise practical mobility solutions using digital twins to address specific urban mobility challenges like traffic congestion, energy efficiency, and accessibility.

Online learning - To get the most out of the week's learning, you are expected to review the lecture notes and watch the pre-recorded videos in preparation.

Active learning - You will participate in interactive workshops and computer laboratories that provide opportunities to consolidate your knowledge gained from lecture material through individual or group activities.

Problem-based learning - To deepen your understanding of the concepts and principles, you will work individually or in small groups to solve set problems.

The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.