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Last modified: 31 Jul 2023 11:19

Course Overview

This course develops a theoretical and practical understanding of the use of modelling and simulation in the transport sector. Students will be introduced to the fundamentals of transport models, including travel demand models of trip generation, trip distribution, mode choice, and traffic assignment, along with the data handling practices necessary to allow their application. The overall aim is to develop an understanding of approaches to modelling the likely outcomes of transport engineering, planning and policy decisions.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Mark Beecroft

What courses & programmes must have been taken before this course?

  • Master Of Science In Transport And Intelligent Mobility
  • Any Postgraduate Programme

What other courses must be taken with this course?


What courses cannot be taken with this course?


Are there a limited number of places available?


Course Description

Modelling and simulation are core techniques used in the process of transport planning, engineering, and policy decision making. They allow us to represent the current transport network and explore the likely effects of planned or potential interventions. In this course, students will first be introduced to the theoretical underpinnings of modelling and simulation in order to form a basis from which to explore more applied instances. Students will be introduced to basic travel demand models (in particular, the four step model), with attention to the development of trip generation, trip distribution, mode choice and traffic assignment models. They will additionally be introduced to more advanced agent and activity based models. They will gain an understanding of the core data needs for the development of these models, along with their mathematical underpinnings. Particular attention will be given to the incorporation of new and emerging sources of data generated through intelligent mobility technologies.

Students will be introduced to the use of transport modelling and simulation software, and will use this to produce a realistic traffic engineering project over the course of the term.

Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Coursework (20%)

Coursework (20%)

Coursework (60%)



Re-sit of only the failed assessment component(s)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
FactualUnderstandUnderstand the underlying theory of transport models and simulation.
ProceduralApplyApply theoretical understanding of transport models and simulation in practice.
ReflectionCreateCreate a realistic transport project based on application of modelling and simulation.
FactualUnderstandUnderstand the data requirements for developing transport models

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