Course coordinator
Dr Mehmet Yildirimoglu
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
The representation of transport phenomena requires a level of detail and accuracy that can be achieved only with a simulation approach able to capture the dynamics of all elements of the transport system. This course provides the principles and the applications of traffic simulation that captures the dynamics and the interactions between agents in urban networks. Alongside the theoretical underpinnings in mathematical techniques and stochastic simulation methods, this course presents the application to transport problems and the discussion of scenarios for policy implementation.
The 2024 edition of this course will follow a similar format to that used in previous years with a combination of lectures focusing on theoretical aspects of traffic analysis and simulation and tutorials focusing on practical implementations. ﾠ
Course requirements
Assumed background
Knowledge of basic statistics and mathematics.
Prerequisites
You'll need to complete the following courses before enrolling in this one:
CIVL2420
Incompatible
You can't enrol in this course if you've already completed the following:
CIVL7435
Course contact
Course staff
Lecturer
Dr Mehmet Yildirimoglu
Professor Zuduo Zheng
Timetable
The timetable for this course is available on the UQ Public Timetable.
Aims and outcomes
To provide students with a basic knowledge and understanding of the traffic simulation principles and applications. This includes basic traffic flow theory, traffic simulation techniques, car following and lane changing models, cell transmission models (CTM), ramp metering applications, traffic assignment, traffic equilibrium.
Learning outcomes
After successfully completing this course you should be able to:
LO1.
Identify the key parameters of vehicular traffic flow and their relationships
LO2.
Describe, understand and apply the basic principles of simulation
LO3.
Elaborate the decision mechanisms for traffic simulation
LO4.
Develop and use macroscopic traffic models
LO5.
Identify and apply the concept of traffic equilibrium
LO6.
Present results from traffic simulations and discuss their policy implications
Assessment
Assessment summary
| Category | Assessment task | Weight | Due date |
|---|---|---|---|
| Participation/ Student contribution | Participation in Learning Activities | 5% |
22/07/2024 - 25/10/2024
Throughout the Semester |
| Computer Code, Paper/ Report/ Annotation | Assignments | 30% 10% for each assignment |
28/08/2024 4:00 pm 11/09/2024 4:00 pm 14/10/2024 4:00 pm
Throughout the Semester |
| Tutorial/ Problem Set | Review Problems | 15% |
25/10/2024 4:00 pm |
| Examination |
Final Exam
|
50% |
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
Participation in Learning Activities
- Mode
- Activity/ Performance
- Category
- Participation/ Student contribution
- Weight
- 5%
- Due date
22/07/2024 - 25/10/2024
Throughout the Semester
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
Participation activities will be counted starting from Week 1 until the end of Week 13 and converted into points that will be used in assessing the participation in tutorial activities. Evidence of participation: submission of tutorial exercises or computer tasks by the end of the following day through Blackboard. A total of 10 out of 12 submissions are required to receive 5 points for participating in tutorial. The marks will be allocated proportionally based on the number of submissions.
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
Not a submissible item.
Deferral or extension
You cannot defer or apply for an extension for this assessment.
Students need to complete 10 out of 12 activities.
Late submission
You will receive a mark of 0 if this assessment is submitted late.
Students need to complete 10 out of 12 activities.
Assignments
- Mode
- Written
- Category
- Computer Code, Paper/ Report/ Annotation
- Weight
- 30% 10% for each assignment
- Due date
28/08/2024 4:00 pm
11/09/2024 4:00 pm
14/10/2024 4:00 pm
Throughout the Semester
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
Three assignments each worth 10% each (30% in total).
The assignments will involve the use of traffic simulation software and/or preparing scripts in the coding language that you are comfortable with.
Assignment questions will be posted on the course Blackboard site.
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
Electronic submission via 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.
Review Problems
- Mode
- Written
- Category
- Tutorial/ Problem Set
- Weight
- 15%
- Due date
25/10/2024 4:00 pm
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
A problem set worth 15% of marks. Problems will be posted on Blackboard site, and will cover all the modules introduced within the course. This is expected to allow the students to prepare for the final exam.
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
Electronic submission via 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
- 50%
- Due date
End of Semester Exam Period
2/11/2024 - 16/11/2024
- Other conditions
- Time limited.
- Learning outcomes
- L01, L02, L03, L04, L05, L06
Task description
The final exam will include a combination of multiple choice, short answer and problem solving questions.
This assessment task is to be completed in-person. The use of generative Artificial Intelligence (AI) or Machine Translation (MT) tools will not be permitted. Any attempted use of AI or MT may constitute student misconduct under the Student Code of Conduct.
Hurdle requirements
To receive an overall grade of 4 or more, a student must achieve at least 40% on the final exam.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 or typed notes, double sided, is permitted Unannotated bilingual dictionary |
| 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
Library resources are available 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 |
Tutorial Sessions Tutorial sessions to be held throughout the semester. Students will be working on exercise questions and traffic simulation softwares. Learning outcomes: L01, L02, L03, L04, L05, L06 |
Lecture |
Weekly lecture Learning outcomes: L01, L02, L03, L04, L05, L06 |
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: