Course overview
- Study period
- Semester 2, 2024 (22/07/2024 - 18/11/2024)
- Study level
- Undergraduate
- Location
- St Lucia
- Attendance mode
- In Person
- Units
- 2
- Administrative campus
- St Lucia
- Coordinating unit
- Civil Engineering School
Traffic flow theory is the foundation of daily traffic operation and controls. Transport Engineering is also rapidly changing as a result of emerging and disruptive technologies, such as connected and automated vehicles, car sharing and electric vehicles, which make transportation systems more dynamic and complex. This course provides future transport planners and traffic engineers with the capacity to develop and implement effective and efficient traffic management strategies. Students will gain essential knowledge of advanced and emerging issues in Transport Engineering so they can contribute to the design and management of future transport systems. The course focuses on advanced traffic flow theories and modelling as well as emerging topics such as automated vehicles, cooperative driving. The opportunities and challenges in the era of connected and automated vehicles are also explored. The course compliments other transport courses offered at the University of Queensland and extends material from courses such as CIVL2410 and CIVL3420. This course also prepares students for more advanced study in CIVL7435.
This course builds on previous traffic and transport engineering subjects and covers more advanced topics in transport engineering. Modules focus on advanced traffic flow theories and modelling, and emerging topics in Transport Engineering, such as automated vehicles, cooperative driving, opportunities and challenges in the era of connected and automated vehicles, etc.
Concepts and theories will be introduced in the lectures, while examples will be provided in the tutorials. Also, in the tutorials, students will be asked to write codes (e.g., R, Matlab, Python, or using Excel) to simulate how vehicles follow each other, how vehicles change lanes, and how traffic travel like fluid. Assessments are designed in such a way that students can not only test their understanding on advanced traffic flow theories and emerging technologies in Transport Engineering, but also test their skills of implementing them.
Course requirements
Prerequisites
You'll need to complete the following courses before enrolling in this one:
CIVL2410 or CIVL2420
Recommended prerequisites
We recommend completing the following courses before enrolling in this one:
CIVL3420
Course contact
Course staff
Lecturer
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
This course aims to provide students advanced analytical skills (e.g., traffic flow modelling, simulation, etc.) that are necessary for tackling complex issues our society is currently facing, such as traffic congestion, vehicle emissions, etc. Moreover, this course also aims to educate students on emerging issues in Transport Engineering, and provide students essential knowledge about future transport systems.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Apply microscopic models to simulate individual driving behaviours;
LO2.
Apply macroscopic models to simulate characteristics of traffic flow;
LO3.
Explain simulation outcomes of traffic models, and present the outcomes to the general public as well as the experts;
LO4.
Explain impacts of emerging technologies on Transport Engineering;
LO5.
Develop strategies to cope with impacts of emerging technologies on Transport Engineering.
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Computer Code, Paper/ Report/ Annotation |
Macroscopic modelling
|
20% |
6/09/2024 4:00 pm |
| Computer Code |
Car following modelling
|
20% |
30/09/2024 4:00 pm |
| Tutorial/ Problem Set |
Problem solving
|
20% |
11/10/2024 4:00 pm |
| Examination |
Final Exam
|
40% |
End of Semester Exam Period 2/11/2024 - 16/11/2024 |
A hurdle is an assessment requirement that must be satisfied in order to receive a specific grade for the course. Check the assessment details for more information about hurdle requirements.
Assessment details
Macroscopic modelling
- Online
- Mode
- Written
- Category
- Computer Code, Paper/ Report/ Annotation
- Weight
- 20%
- Due date
6/09/2024 4:00 pm
- Learning outcomes
- L02, L03
Task description
You are asked to code a simple macroscopic traffic flow model using a language you are comfortable with.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Assignment must be submitted via Turnitin through BlackBoard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Car following modelling
- Online
- Mode
- Written
- Category
- Computer Code
- Weight
- 20%
- Due date
30/09/2024 4:00 pm
- Learning outcomes
- L01, L03
Task description
You are asked to code a simple car following model using a language you are comfortable with.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Assignment must be submitted via Turnitin through BlackBoard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Problem solving
- Online
- Mode
- Written
- Category
- Tutorial/ Problem Set
- Weight
- 20%
- Due date
11/10/2024 4:00 pm
- Learning outcomes
- L01, L02, L04, L05
Task description
You are asked to solve a set of problems related to all the major topics covered in this course.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Submission guidelines
Assignment must be submitted via Turnitin through BlackBoard.
Deferral or extension
You may be able to apply for an extension.
The maximum extension allowed is 28 days. Extensions are given in multiples of 24 hours.
Late submission
A penalty of 10% of the maximum possible mark will be deducted per 24 hours from time submission is due for up to 7 days. After 7 days, you will receive a mark of 0.
Final Exam
- Hurdle
- Identity Verified
- In-person
- Mode
- Written
- Category
- Examination
- Weight
- 40%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L04, L05
Task description
The final exam will include a combination of multiple choice, short answer and problem solving questions.
This assessment task evaluates students' abilities, skills and knowledge without the aid of generative Artificial Intelligence (AI) or Machine Translation (MT). Students are advised that the use of AI or MT technologies to develop responses is strictly prohibited and may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
In order to receive a grade of 4 or more for the course, a student must obtain a mark of at least 40% on the final examination.Exam details
| Planning time | 10 minutes |
|---|---|
| Duration | 120 minutes |
| Calculator options | (In person) Casio FX82 series only or UQ approved and labelled calculator |
| Open/closed book | Closed Book examination - specified written materials permitted |
| Materials | One A4 sheet of handwritten notes, double sided, is permitted |
| Exam platform | Paper based |
| Invigilation | Invigilated in person |
Submission guidelines
Deferral or extension
You may be able to defer this exam.
Course grading
Full criteria for each grade is available in the Assessment Procedure.
| Grade | Cut off Percent | Description |
|---|---|---|
| 1 (Low Fail) | 0 - 19.99 |
Absence of evidence of achievement of course learning outcomes. Course grade description: The student fails to demonstrate sufficient knowledge or understanding of the underlying concepts. Much of the information provided is inaccurate and irrelevant. Assessment is incomplete. |
| 2 (Fail) | 20 - 44.99 |
Minimal evidence of achievement of course learning outcomes. Course grade description: The student fails to demonstrate sufficient knowledge or understanding of the underlying concepts. Much of the information provided is inaccurate and irrelevant. |
| 3 (Marginal Fail) | 45 - 49.99 |
Demonstrated evidence of developing achievement of course learning outcomes Course grade description: Falls short of satisfying all the requirements for a Pass. |
| 4 (Pass) | 50 - 64.99 |
Demonstrated evidence of functional achievement of course learning outcomes. Course grade description: The student demonstrates sound knowledge and at least partial understanding of the underlying concepts. Has some correct and some incorrect information. |
| 5 (Credit) | 65 - 74.99 |
Demonstrated evidence of proficient achievement of course learning outcomes. Course grade description: The student demonstrates sound knowledge and sound understanding of the key concepts. |
| 6 (Distinction) | 75 - 84.99 |
Demonstrated evidence of advanced achievement of course learning outcomes. Course grade description: Key concepts are understood. There is a demonstrated ability to solve previously unseen problems. There are only minor factual inaccuracies and there is little irrelevant information. |
| 7 (High Distinction) | 85 - 100 |
Demonstrated evidence of exceptional achievement of course learning outcomes. Course grade description: Key concepts are understood and can be used to solve previously unseen problems. There are insignificant factual inaccuracies and there is very limited irrelevant information. |
Supplementary assessment
Supplementary assessment is available for this course.
Learning resources
You'll need the following resources to successfully complete the course. We've indicated below if you need a personal copy of the reading materials or your own item.
Library resources
Find the required and recommended resources for this course on the UQ Library website.
Learning activities
The learning activities for this course are outlined below. Learn more about the learning outcomes that apply to this course.
Filter activity type by
Please select
| Learning period | Activity type | Topic |
|---|---|---|
Multiple weeks From Week 1 To Week 13 |
Tutorial |
Tutorials Tutorials designed to help students to better understand the topics covered in the lectures. Learning outcomes: L01, L02, L03, L04, L05 |
Lecture |
Lectures Learning outcomes: L01, L02, L03, L04, L05 |
Policies and procedures
University policies and procedures apply to all aspects of student life. As a UQ student, you must comply with University-wide and program-specific requirements, including the:
- Student Code of Conduct Policy
- Student Integrity and Misconduct Policy and Procedure
- Assessment Procedure
- Examinations Procedure
- Reasonable Adjustments - Students Policy and Procedure
Learn more about UQ policies on my.UQ and the Policy and Procedure Library.
School guidelines
Your school has additional guidelines you'll need to follow for this course: