Quantitative Techniques for Transport Engineering and Planning

Module aims

  • To understand and apply quantitative techniques including modelling and analysis to practical processes in transport. This includes theoretical analysis, case studies and classroom discussion.

Learning outcomes

On successfully completing this course unit, students will be able to: 

  • Show how quantitative modelling and analysis can be used for practical problem solving in transport studies. This course unit supports other analytical option units, including CI9-T-8 and CI9-T-14 for which it is a pre-requisite. Case studies will be used to illustrate transport models and data, methods for analysing and using them, and to investigate their scope and limitations. Application areas that will be discussed include traffic modelling, transport safety, traffic engineering and travel behaviour.

Module syllabus

  • Optimisation and linear programming.
  • Sensitivity analysis.
  • Simulation modelling and analysis.
  • Statistical modelling.
  • Estimation of statistical models.
  • Validity and hypothesis testing.
  • Survey design.
  • Analysis of survey data.
  • Experimental design.
  • Statistical inference techniques. 

No.

Topic

Staff

01-02

Optimal design and sensitivity analysis.

BGH

03-04

Techniques of optimisation: linear and convex formulations.

BGH

05-08

Simulation modelling and analysis.

BGH

09-10

Principles, estimation and use of statistical models; calibration and validation.

BGH

11-12

Formulation of models in transport studies.

JWP

13-14

Approaches to survey sampling and design.

JWP

15-16

Analysis of survey data.

JWP

17-18

Model-based inference.

JWP

19-20

Application of statistical models to transport studies.

JWP

Activity 1

Exercise on optimisation.

BGH

Activity 2

Workshop on simulation.

BGH

Activity 3

Workshop on survey design and analysis.

JWP

Activity 4

Exercise on modelling.

JWP

Pre-requisites


Teaching methods

A combination of lectures and classroom activities.

Assessments

Assignment Title

Date Set

Date Due

Return Date

Coursework Weighting

Set by

Exercise on optimisation

Lectures 3-4

Lectures 7-8

Lectures 9-10

33.3%

BGH

Workshop on survey design

Lectures 13-14

Lectures 19-20

4 weeks later

33.3%

JWP

Exercise on modelling

Lectures 19-20

11 weeks later

4 weeks later

33.3%

JWP

Reading list

Module leaders

Professor Benjamin Heydecker