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2024/25 Taught Postgraduate Module Catalogue

TRAN5210M Traffic Management

15 creditsClass Size: 59

Module manager: Angelica Salas Jones

Taught: Semester 2 (Jan to Jun) View Timetable

Year running 2024/25

This module is not approved as an Elective

Module summary

Traffic Management is the process of adjusting or adapting the use of an existing road system to meet specified objectives without resorting to substantial new road construction. The objectives of traffic management have evolved reflecting the changing nature of road systems as well as changing travel patterns in the past decades. The module emphasises that traffic management measures differ throughout the world, and thus a wide range of international evidence is included to broaden the scope of module delivery. The module takes into account all road users: public transport users, pedestrians, cyclists and car users.


This module aims to equip students with knowledge of how to identify, select, design and implement a range of appropriate measures and techniques, as well as knowledge of practical experiences for enhancing the efficiency of road transport systems for all groups of road users.

Learning outcomes
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject:

1. Understand the key concepts and objectives of traffic management
2. Understand the key issues in the implementation and evaluation of traffic management approaches for all road users
3. Identify appropriate traffic management strategies for the problem context
4. Identify the functionality, physical and communication infrastructure needed for the design and operation of Intelligent Transportation Systems
5. Understand and apply system design methodology

Skills Learning Outcomes:
On successful completion of the module students will have demonstrated the following skills learning outcomes:

1. Problem solving
2. Report writing
3. Quantitative analysis skills
4. Research skills related to searching relevant articles/case studies
5. Technical skills related to designing a data flow diagram
6. Digital skills in relevant software for creating diagrams


Details of the syllabus will be provided on the Minerva organisation (or equivalent) for the module.

Teaching methods

Delivery typeNumberLength hoursStudent hours
Private study hours132.00
Total Contact hours18.00
Total hours (100hr per 10 credits)150.00

Opportunities for Formative Feedback

The lectures are delivered in an interactive approach facilitating communication between the lecturers and students. The workshops will make use of real-world data providing students with hands-on experience of problem solving and application of knowledge.

Methods of assessment

Assessment typeNotes% of formal assessment
Total percentage (Assessment Coursework)100.00

Normally resits will be assessed by the same methodology as the first attempt, unless otherwise stated

Reading list

The reading list is available from the Library website

Last updated: 17/04/2024


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