Module manager: Angelica Salas Jones
Email: A.M.SalasJones@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2026/27
This module is not approved as an Elective
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. In addition, the module examines modern, data‑informed and technology‑enabled approaches to traffic management, including adaptive urban traffic control systems, road user priority strategies, and connected mobility ecosystems.
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.
On successful completion of the module students will be able to:
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. Interpret and evaluate outputs from industry‑standard traffic simulation tools to assess traffic management strategies.
5. Identify the functionality, physical and communication infrastructure needed for the design and operation of Intelligent Transportation Systems
6. Understand and apply system design methodology
1. Foundations of Modern Traffic Management and Urban traffic control systems
2. Data-Driven Traffic Management
3. Priority Strategies for Public Transport
4. Dynamic Approaches to Road Charging
5. Connected Infrastructure for Pedestrian and Cycle Mobility
6. Connected Vehicle Ecosystems and In-Vehicle Management
7. Future Mobility: Automation and Emerging Technologies
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lectures | 7 | 2 | 14 |
| Practicals | 2 | 2 | 4 |
| Private study hours | 132 | ||
| Total Contact hours | 18 | ||
| Total hours (100hr per 10 credits) | 150 | ||
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.
| Assessment type | Notes | % of formal assessment |
|---|---|---|
| Assignment | Coursework | 50 |
| Assignment | Coursework | 50 |
| Total percentage (Assessment Coursework) | 100 | |
Normally, resits will be assessed by the same methodology as the first attempt, unless otherwise stated.
Check the module area in Minerva for your reading list
Last updated: 30/04/2026
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