Intelligent Transport Systems

Module aims

  • To provide a rigorous mathematical understanding of the fundamental theories underlying models of travel demand and transport supply and their application to the evaluation and appraisal of transport policies. Both aggregate and disaggregate modelling techniques will be considered.

Learning outcomes

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

  • Have a critical understanding of the theories modern methods of analysing travel demand.
  • Have a critical understanding of economic theories underlying the evaluation of transport policies.
  • Have acquired practical experience in the use of relevant software tools implementing the methods presented in the module.
  • Have acquired practical experience of how these methods can be used to develop and evaluate transport policy measures.

Module syllabus

  • Fundamental concepts of discrete choice modelling. 
  • Principles of the formulation and estimation of discrete models including multinomial logit and nested logit. 
  • Principles of network equilibrium with fixed and elastic demand. 
  • Computation methods for network equilibrium. 
  • Causal inference in transport modelling. 
  • Investment and economic appraisal of transport policies and projects.    

Week No.  

Topic 

Staff 

15 

No Lectures this week 

16 

Lecture: Economic fundamentals of random utility theory (1,2) 

AS 

17 

Lecture: Estimation of discrete choice models (3,4) 

Activity: Modelling project 1 

AS 
FG 

18 

Lecture: Generalised extreme value models (5,6) 

Activity: Biogeme workshop  

AS 

AS 

19 

Lecture: Mixed logit models (7,8) 

AS 

20 

Lecture: Network equilibrium I (9,10) 

BGH 

21 

Lecture: Network equilibrium II (11,12) 

BGH 

22 

Lecture: Combined transport models (13,14) 

Activity: Modelling project II 

BGH 

FG 

23 

Lecture: Causal Inference I (15,16)  

DJG 

24 

Lecture: Causal inference II (17,18) 

DJG 

25 

Lecture: Trip matrix estimation (19,20) 

Activity: Modelling project 3 (presentations)  

BGH 

AS / FG 

 

Teaching methods

A combination of lectures, tutorials and computer workshops will be used. A group design exercise also forms part of the module.

Assessments

Information will be provided separately.

Reading list

Supplementary

Module leaders

Professor Washington Ochieng