ENN482 Advanced Transport Modelling
To view more information for this unit, select Unit Outline from the list below. Please note the teaching period for which the Unit Outline is relevant.
| Unit code: | ENN482 |
|---|---|
| Prerequisite(s): | ((MZB127 OR MZB126) AND EGB272) OR Admission to (EN55 OR EN51 OR EN71 OR EN75) |
| Credit points: | 12 |
| Timetable | Details in HiQ, if available |
| Availabilities |
|
| CSP student contribution | $1,118 |
| Domestic tuition unit fee | $3,672 |
| International unit fee | $5,040 |
Unit Outline: Semester 2 2024, Gardens Point, Internal
| Unit code: | ENN482 |
|---|---|
| Credit points: | 12 |
| Pre-requisite: | ((MZB127 OR MZB126) AND EGB272) OR Admission to (EN55 OR EN51 OR EN71 OR EN75) |
| Coordinator: | Ashish Bhaskar | ashish.bhaskar@qut.edu.au |
Overview
This is an advance transport engineering unit that develops theoretical insights with their practical applications of transport modelling and simulation. The unit covers various levels of modelling (micro and macro) techniques. The theory is supported by its real world practical applications. It provides hand-ons use of state-of-the-art modelling tools through an authentic assessment. Modelling of transport networks is an inevitable part of the planning, design and operation of complex transport systems. For instance, strategic models are exploited for the planning of new transport infrastructure and traffic flow models are utilised for evaluating the efficiency and reliability of existing networks. A transport engineer should understand the suitability of various modelling and simulation techniques for particular tasks and assess their strength and weakness.
Learning Outcomes
On successful completion of this unit you will be able to:
- Explain contemporary transport engineering practices in modelling and simulation
- Formulate, apply and assess transport modelling techniques for complex transport engineering challenges
- Compare the strengths and limitations of various transport models used in contemporary transport engineering practice
Content
1. Transport data
2. Macroscopic transport models
3. Microscopic transport models
4. Model calibration and validation
5. Intelligent Transport System
Learning Approaches
In this unit you will experience:
- Lectures (2 hours per week over 12 weeks) which will be presented by experienced transport engineers. These active lectures will give you the opportunity to engage with contemporary transport engineering practices in the the modelling and simulation of complex transport systems.
- Tutorials (1 hours per week over 12 weeks) which will give you the opportunity to apply the modelling and simulation techniques to structured problems, facilitated by experience transport engineers as tutors. The problems you work on in tutorials will support the development of your knowledge and capabilities to undertake the assessment tasks within the unit.
You will be expected to use the knowledge and capabilities that you have learned in scheduled class activities to complete two problem-based learning tasks, in groups, emphasizing your ability of working within a team and your ability to communicate professionally.
Weekly lectures on different topics will be provided. You will be expected to use concepts and methodologies discussed in the lectures to timely and professionally complete your projects. In weekly tutorials, lecturers and tutors will provide an engaging tutorial environment. The unit coordinator will be available throughout the semester to provide guidance on general aspects of the unit.
It is stressed that you must attend the contact sessions in order to gain full advantage of staff presence. You will be encouraged to use the unit site, which will be provided as a central resource.
Learning Approaches will include: problem based, independent, and team based learning
Feedback on Learning and Assessment
During tutorial classes, with your group you will share your formative ideas for your project, and you will receive feedback from teaching team. You are encouraged to view your group as a learning community and to share and discuss emergent ideas in the transport modelling and your understandings of transport modelling professional practice. Each assessment submission will be graded against criteria and standards that will be shared with you at the beginning of semester through Assessment Task Descriptions and Marking Rubrics. Marked assessment will include feedback given by the markers against the criteria.
Assessment
Unit Grading Scheme
7- point scale
Assessment Tasks
Assessment: Transport Data analytics and modelling
The task will include problem related to transport data analysis and modelling.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Modelling and simulation
The task will include problem related to modelling and simulation.
This assignment is eligible for the 48-hour late submission period and assignment extensions.
Assessment: Examination (written)
You will be required to formally individually sit for written exam testing your knowledge on the advanced transport modelling theory and applications discussed in the class. You are expected to show your working and communicate a complete answer in writing and graphically to the problems presented in the examination paper.
Academic Integrity
Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.
Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.
You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.
Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.
Resources
A unit site will provide a clearinghouse for electronic resources as well as documentation on unit housekeeping. You are expected to both review the unit Canvas site and check your QUT student email account at least one day prior to each class.
A package of basic background information that is relevant to each task will be issued to each team. You will be expected to identify any information further than that issued formally to the class, and where feasible, procure that information. Notwithstanding, you shall not approach members of the public nor public officers in relation to your project without authorisation of the unit coordinator.
You may incur incidental costs in printing lecture notes and web based manuals, and using electronic media for information storage.
Risk Assessment Statement
The unit has computer based lab/workshop. Students are expected to be in the computer lab to complete the assessment. Risks associated with normal computer sessions are applicable here.
Standards/Competencies
This unit is designed to support your development of the following standards\competencies.
Engineers Australia Stage 1 Competency Standard for Professional Engineer
1: Knowledge and Skill Base
Relates to: Transport Data analytics and modelling, Modelling and simulation
Relates to: Examination (written)
Relates to: Transport Data analytics and modelling
Relates to: Examination (written)
Relates to: Examination (written)
2: Engineering Application Ability
Relates to: Transport Data analytics and modelling, Modelling and simulation, Examination (written)
Relates to: Examination (written)
3: Professional and Personal Attributes
Relates to: Modelling and simulation
Relates to: Transport Data analytics and modelling, Modelling and simulation
Relates to: Modelling and simulation
Relates to: Transport Data analytics and modelling
Relates to: Transport Data analytics and modelling, Modelling and simulation
Relates to: Modelling and simulation
Course Learning Outcomes
This unit is designed to support your development of the following course/study area learning outcomes.EN51 Master of Sustainable Infrastructure
- Demonstrate and apply advanced and specialist discipline knowledge, concepts and practices as they relate to contemporary practice in Sustainable Infrastructure
Relates to: Transport Data analytics and modelling, Modelling and simulation, Examination (written) - Analyse and evaluate Sustainable Infrastructure problems using technical approaches informed by contemporary practice and leading edge research to achieve innovative, critically informed solutions
Relates to: Transport Data analytics and modelling, Examination (written) - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Sustainable Infrastructure in a way that assures sustainable outcomes over their whole lifecycle
Relates to: Modelling and simulation - Effectively communicate Sustainable Infrastructure problems, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Modelling and simulation, Examination (written) - Demonstrate ethically and socially responsible practice, recognising the importance of personal accountability and reflective practice when working in individual and collaborative modes
Relates to: Transport Data analytics and modelling, Modelling and simulation
EN55 Master of Professional Engineering
- Apply advanced and specialist knowledge, concepts and practices in engineering design, analysis management and sustainability.
Relates to: Transport Data analytics and modelling, Examination (written) - Critically analyse and evaluate complex engineering problems to achieve research informed solutions.
Relates to: Modelling and simulation, Examination (written) - Apply systematic approaches to plan, design, execute and manage an engineering project.
Relates to: Transport Data analytics and modelling, Modelling and simulation - Communicate complex information effectively and succinctly, presenting high level reports, arguments and justifications in oral, written and visual forms to professional and non specialist audiences.
Relates to: Transport Data analytics and modelling, Modelling and simulation - Organise and manage time, tasks and projects independently, and collaboratively demonstrating the values and principles that shape engineering decision making and professional accountability.
Relates to: Modelling and simulation
EN71 Master of Sustainable Infrastructure with Project Management
- Demonstrate and apply advanced and specialist discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Sustainable Infrastructure and Project Management domains
Relates to: Transport Data analytics and modelling, Modelling and simulation, Examination (written) - Analyse and evaluate problems in Sustainable Infrastructure and Project Management domains using technical approaches informed by contemporary practice and leading-edge research to achieve evidence based, innovative, critically informed solutions and outcomes
Relates to: Transport Data analytics and modelling, Examination (written) - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Sustainable Infrastructure and Project Management domains in a way that assures sustainable outcomes and strategic objectives over their whole lifecycle
Relates to: Modelling and simulation - Effectively communicate problems in Sustainable Infrastructure and Project Management domains, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Modelling and simulation, Examination (written) - Demonstrate ethically and socially responsible practice, recognising the importance of personal accountability, reflective practice, risk-informed judgements, and leadership
Relates to: Transport Data analytics and modelling, Modelling and simulation
EN75 Master of Sustainable Infrastructure with Data Analytics
- Demonstrate and apply advanced and specialist discipline knowledge, concepts, methods and practices as they relate to contemporary practice in Sustainable Infrastructure and Data Analytics domains
Relates to: Transport Data analytics and modelling, Modelling and simulation, Examination (written) - Analyse and evaluate problems in Sustainable Infrastructure and Data Analytics domains using technical approaches informed by contemporary practice and leading-edge research to achieve evidence based, innovative, critically informed solutions and outcomes
Relates to: Transport Data analytics and modelling, Examination (written) - Apply innovative, systematic approaches to plan, design, deliver and manage projects in Sustainable Infrastructure and Data Analytics domains in a way that assures sustainable outcomes and strategic objectives over their whole lifecycle
Relates to: Modelling and simulation - Effectively communicate problems in Sustainable Infrastructure and Data Analytics domains, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Modelling and simulation, Examination (written) - Demonstrate ethically and socially responsible practice, recognising the importance of personal accountability, reflective practice, risk-informed judgements, and leadership
Relates to: Transport Data analytics and modelling, Modelling and simulation
EN79 Graduate Diploma in Engineering Studies
- Demonstrate and apply advanced discipline knowledge, concepts and practices as they relate to contemporary Engineering practice
Relates to: Transport Data analytics and modelling, Modelling and simulation, Examination (written) - Analyse and evaluate Engineering problems using technical approaches informed by contemporary practice and leading edge research to achieve innovative, critically informed solutions
Relates to: Transport Data analytics and modelling, Examination (written) - Apply innovative, systematic approaches to plan, design, deliver and manage Engineering projects in a way that assures sustainable outcomes over their whole lifecycle
Relates to: Modelling and simulation - Effectively communicate Engineering problems, related complex data and information, and solutions in contemporary professional formats for diverse purposes and audiences
Relates to: Modelling and simulation, Examination (written) - Demonstrate ethically and socially responsible practice, recognising the importance of personal accountability and reflective practice when working in individual and collaborative modes
Relates to: Transport Data analytics and modelling, Modelling and simulation