Advanced Transport Modelling

Learning Outcomes

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Demonstrate experience of working with virtual or augmented reality systems
• Demonstrate experience in using complex transport simulation software

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• Techniques for agent based modelling
• Application of techniques within a transport modelling context
• Techniques for virtual or augmented reality
• Techniques for data classification and clustering
• Techniques for machine learning

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Identify appropriate model types for a range of transport situations
• Create models to represent a range of transport situations
• Interpret the results from transport models

Transferable and Generic Skills

Having successfully completed this module you will be able to:

• Time management and independent learning
• Apply critical analysis and judgement
• Analyse and solve problems in a methodical fashion

1. Machine learning and traffic signal control algorithms

2. Big data classification and clustering approaches for spatial analysis and journey/traveller profiling

3. Agent-based modelling of city transport patterns

4. Virtual/Augmented reality and traveller-system interaction

e-Learning videos and exercises introduce the basic concepts, augmented by in in-class worked examples and demonstrations as appropriate. Computer and laboratory sessions give practical experience of using appropriate software to develop the transport models. Mini-projects with associated tutorial sessions enable understanding of the practicalities of applying the models to real life scenarios.

Summative

This is how we’ll formally assess what you have learned in this module.