Course Title: Advanced Transport Infrastructure

Part A: Course Overview

Course Title: Advanced Transport Infrastructure

Credit Points: 12.00

Important Information:

Please note that this course may have compulsory in-person attendance requirements for some teaching activities. 

To participate in any RMIT course in-person activities or assessment, you will need to comply with RMIT vaccination requirements which are applicable during the duration of the course. This RMIT requirement includes being vaccinated against COVID-19 or holding a valid medical exemption. 

Please read this RMIT Enrolment Procedure as it has important information regarding COVID vaccination and your study at RMIT:

Please read the Student website for additional requirements of in-person attendance: 

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 


Course Code




Learning Mode

Teaching Period(s)


City Campus


172H School of Engineering


Sem 1 2017,
Sem 1 2018,
Sem 1 2019,
Sem 1 2021,
Sem 1 2022

Course Coordinator: Dr Sara Moridpour

Course Coordinator Phone: +61 3 9925 2407

Course Coordinator Email:

Course Coordinator Location: 10.12.10

Course Coordinator Availability: Email for appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities


Course Description

Advanced Transport Infrastructure aims to enhance your understanding of transport modeling and planning and transport infrastructure. It also identifies and considers the problems/issues traffic and transport engineers encounter in transport planning and demand prediction. The course focuses on traditional and contemporary land use and demand prediction models used for strategic planning and modeling of transport networks. It is suitable for urban planners, traffic and transport engineers, transport planners and other employees in the transport infrastructure sector.

Objectives/Learning Outcomes/Capability Development

This course contributes to development of the following program learning outcomes for MC257 Master of Engineering (Civil Engineering):

  1. Needs, Context and Systems
  • Describe, investigate and analyse complex engineering systems and associated issues.
  1. Problem Solving and Design
  • Develop creative and innovative solutions to engineering problems.
  • Anticipate the consequences of intended action or inaction and understand how the consequences are managed collectively by your organisation, project or team.
  1. Analysis
  • Comprehend and apply advanced theory-based understanding of engineering fundamentals and specialist bodies of knowledge in the selected discipline area to predict the effect of engineering activities.
  • Apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.
  1. Professional Practice
  • Initiate, plan, lead or manage engineering activities.
  • Apply systematic approaches to the conduct and management of engineering projects.
  • Demonstrate effective team membership and team leadership

On completion of this course you should be able to:

CLO 1: Critically review land use and demand prediction models and debate their strengths and weaknesses.

CLO 2: Describe, investigate and analyse different frameworks used in transport network modelling and the variables impacting transport networks.

CLO 3: Identify and evaluate the factors influencing land use and transport demand.

CLO 4: Apply appropriate concepts, techniques and principles that underpin transport demand forecasting and management to a variety of contemporary and emerging transport infrastructure scenarios.

CLO 5: Model and validate different land use and demand prediction models.

CLO 6: Demonstrate and justify the use of commercial network modelling packages for transport demand forecasting and management

Overview of Learning Activities

Lectures: Lectures will involve the discussion of theory on various elements of traffic management, operations and design. 

Tutorials: Tutorials will be framed around the demonstration of the theory and application through solving relevant problems in class while working in small groups. Action learning will be facilitated through students working in teams on transport management, operations and design problems/ projects. Tutorials will sequentially work through various elements of traffic management, operations and planning to develop the solutions. 

Overview of Learning Resources

In Advanced Transport Infrastructure you will interrogate contemporary and emerging literature with local, national and global relevance in order to inform your specialist knowledge and skills. Course-related resources will be provided on Canvas. This includes lecture and tutorial material, case studies, supplementary course notes, problem sheets and solutions, assignments, practice exams and references.

Support can also be found at RMIT Library Guides:

Overview of Assessment

The course involves four assessment tasks which are designed aligning with the expected outcomes of the course. Details of each assessment are given below. Note that:

X This course has no hurdle requirements.

☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Leaning & Teaching).

Assessment Tasks

Assessment Task 1: Urban Planning
Weighting 30%
This assessment task focuses on evaluating the urban planning and transport system of a large city. This assessment task supports CLOs 3, and 5.

Assessment Task 2: Transport Modelling
Weighting 40%
This assessment task covers all stages of transport modelling including the demand forecast, mode choice and traffic assignment. This assessment task supports CLOs 1, 2, 4, and 6.

Assessment Task 3: Public Transport Design and Evaluation
Weighting 30%
This assessment task supports CLOs 3, 4, and 5. 


Assessment tasks 1, 2, and 3 are group project (2 students per group). Each group member's grading will be based on the overall group grade. 

Detailed project briefs will be provided for each assessment task through Canvas. In addition, detailed rubrics will be provided for each assessment task outlining the expected outputs to achieve different grades. Late submissions will be penalised at 5% per day unless extensions are authorised in writing.