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CIV5802 · Smart urban mobility and digital twins

Official Handbook

2026 Handbook6 credit pointsLevel 5Department of Civil and Environmental Engineering

Last checked: 23 Aug 2026 UTC

Overview

This unit is designed to give you a deep understanding of urban mobility, covering its fundamental principles and key challenges, including sustainable mobility, intelligent transportation systems (ITS), and data-driven approaches. You will gain a thorough grasp of digital twins: what they are, how they’re built, and the diverse data sources that feed into them. The unit focuses on practical applications, guiding you to design, develop, validate, and optimise mobility solutions using digital twins to tackle real urban challenges like traffic congestion, energy efficiency, and accessibility.

Areas of study: E6013 Master of Applied Engineering - Specialisation: Smart and sustainable mobility

Offerings

CampusTeaching periodMode
MalaysiaSecond semesterTeaching activities are on-campus (ON-CAMPUS)

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

#AssessmentTypeWeightHurdle
1Case studies and proposalsWritten30%
2Quiz/testQuiz / Test30%
3Mini projectProject40%

Continuous assessment: 60% Final assessment: 40% The assessments in this unit are designed to demonstrate the achievement of the advanced learning outcomes and standards expected of Master’s level coursework.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

  1. Formulate practical solutions to mobility problems using smart mobility technologies and digital twins.
  2. Develop and validate smart mobility solutions and digital twin model with relevant modelling software.
  3. Optimise and evaluate mobility solutions provided by digital twin model.
  4. Synthesise high-quality findings, insights, or professional recommendations related to the development and implementation of smart mobility solutions and digital twin technologies.

Workload

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.

ActivityDuration
Laboratories24 hours
Workshops24 hours

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