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CVEN40060

Academic Year 2024/2025

Transport Modelling (CVEN40060)

Subject:
Civil Engineering
College:
Engineering & Architecture
School:
Civil Engineering
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Dr Beatriz Martinez-Pastor
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

Fundamentals of Transport operations and planning:
- Understanding the theories behinds travel choice behaviour
- The classic 4 stage model, models used in Ireland
- What are the data requirements and sources of data for transport models and how is the data collected?
- The model estimation, calibration and validation process
- Critiques of the four-stage modelling
- Traffic assignment models
- Disaggregate models
- How is modelling used in policy formulation and appraisal?

About this Module

Learning Outcomes:

1. Students will be able to describe the importance of transport modelling and the importance of the availability of good data in developing sustainable transport policy.
2. Students will understand modelling approaches and will be able to describe and use the 4 stage model and other modelling approaches.
3. Students will understand how data is collected for transport modelling and how to design surveys.
4. Become familiar with the advantages and disadvantages of different modelling techniques & concepts
5. Students will gain an insight into the operation of quantitative analysis in transport planning (e.g. the derivation, operation and application of different types of models, and the estimation, calibration and validation process).

Indicative Module Content:

Introduction to transport planning issues
Data in transport and their representation for use in transport modelling.
Four-steps model: Trip generation, Trip distribution, Mode choice, Route assignment
Introduction to discrete choice modelling methods
Traffic assignment methods: Wardrop‘s equilibrium, Static and dynamic approaches, Deterministic and stochastic approaches, User equilibrium, System optimum
Modelling the Future of Transport and Mobility

Student Effort Hours:
Student Effort Type Hours
Autonomous Student Learning

80
Lectures

24
Tutorial

12
Total

116

Approaches to Teaching and Learning:
The students will engage in problem-based learning in this module as they will work on solving transport problems. There is also a significant element of active learning, both formative and summative as students must engage in group discussions and debates within class and are required to present their case study work.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (In-person): Final exam End of trimester
Duration:
2 hr(s)
 Standard conversion grade scale 40% No
70
 No
Exam (In-person): Class test Week 7, Week 8 Standard conversion grade scale 40% No
30
 No

Carry forward of passed components
No
 

Resit In Terminal Exam
Summer Yes - 2 Hour
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Ortúzar, J de Dios, and Willumsen, L., G. (2011) Modelling Transport, 4th Edition
Janic, M. (2016) Transport Systems: Modelling, Planning, and Evaluation
Hensher, D., A., and Button, K., J. (2007) Handbook of Transport Modelling: Volume 1

Name Role
Dr Páraic Carroll Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Computer Aided Lab Offering 1 Week(s) - 22, 24, 26, 30, 31 Fri 15:00 - 16:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Thurs 14:00 - 14:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Tues 12:00 - 12:50
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 30, 31, 32, 33 Wed 13:00 - 13:50
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