CIVE97123
Road Traffic Theory and its Application
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