Module manager: Dr Judith Wang
Email: j.y.t.wang@leeds.ac.uk
Taught: Semester 2 (Jan to Jun) View Timetable
Year running 2026/27
Admission to UG programmes in the School of Civil Engineering
| CIVE2081 | Transport Planning and Modelling 1 |
This module is not approved as a discovery module
The module provides students with understanding of transport modelling, covering the main underlying principles of network models and traffic flow; introduces principles in transport economics and the application of traffic assignment in congestion pricing.
- To provide students with an understanding of transport modelling techniques;
- To provide students with knowledge of transport network models and their application in traffic assignment;
- To provide students with an introduction to transport economics and the application of traffic assignment in congestion pricing;
- To provide students with understanding of traffic flow fundamentals and their application in traffic engineering.
On successful completion of the module students will have demonstrated the following learning outcomes relevant to the subject (contributing to the AHEP4 learning outcomes indicated between brackets):
1. Knowledge and understanding of traffic flow fundamentals and their application in traffic engineering (M1);
2. Apply a knowledge of mathematics and engineering principles to analyse, characterise and describe the performance of different transport network models and their application in traffic assignment (M1 and M2);
3. Apply mathematical and statistical methods and tool to the development of transport modelling techniques and to developing solutions to resolve complex problems (M2 and M3);
4. Design solutions for transport planning considering social, environmental and economic matters following the principles of transport economics and application of traffic assignment in congestion pricing (M5).
ACADEMIC SKILLS
-Critical Analysis & Problem Solving: Apply mathematical and statistical methods to develop models and solve problems.
-Numerical Analysis: Interpret and manipulate quantitative data.
-Research & Evidence Gathering: Collate and synthesize literature.
DIGITAL SKILLS
-Digital Proficiency: Use transport modelling software and simulation tools effectively.
-Data Handling: Manage and process large datasets for network analysis and traffic assignment.
WORK-READY SKILLS
-Communication: Present technical findings clearly in written reports and oral discussions.
-Time Management & Organisation: Plan and execute modelling tasks within deadlines, balancing coursework and independent study.
-Teamwork/Collaboration: Engage in collaborative problem-solving during tutorials and group exercises.
ENTERPRISE SKILLS
-Innovation & Solution Design: Design transport planning solutions considering social, environmental, and economic factors.
-Decision-Making: Evaluate trade-offs in congestion pricing and network optimization strategies.
SUSTAINABILITY SKILLS
-Systems Thinking: Integrate sustainability principles into transport planning decisions, considering environmental impacts of traffic flow and pricing policies.
1. Introduction to transportation systems and modelling
2. Network analysis models: Wardrop equilibrium models and traffic assignment
3. Introduction to transport economics and congestion pricing
4. Traffic flow and simulation models: Macroscopic models of traffic flow, queuing theory and traffic simulation
Methods of assessment
The assessment details for this module will be provided at the start of the academic year
| Delivery type | Number | Length hours | Student hours |
|---|---|---|---|
| Lecture | 10 | 2 | 20 |
| Tutorial | 5 | 1 | 5 |
| Private study hours | 75 | ||
| Total Contact hours | 25 | ||
| Total hours (100hr per 10 credits) | 100 | ||
Sufficient effort is expected for further reading after each lecture, as well as for seeking relevant literature and collating evidence across
a range of sources for completing the coursework. Support to private study will be offered by face-to-face discussions, as well as by
VLE forums.
Students learning progress will be monitored by in-class responses, in-class test performances and the coursework process. Students will be fully supported during the process of completing their coursework via a variety of channels including physical discussions as well as virtual environment (e.g. VLE forums, emails etc). Feedback on coursework performance will be provided on Turnitin and verbally during revision class assisting the students to understand weakness in the submitted work and suggesting ways that work can be improved.
Check the module area in Minerva for your reading list
Last updated: 30/04/2026
Errors, omissions, failed links etc should be notified to the Catalogue Team