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Last modified: 24 Jun 2020 14:40

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
  • Dr Caitlin Doyle Cottrill

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

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

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

  • 1 Tutorial during University weeks 25 - 30, 32 - 34, 38 - 39

More Information about Week Numbers

In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

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

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