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Unit of study_

CIVL5702: Traffic Engineering

Semester 1, 2021 [Normal day] - Camperdown/Darlington, Sydney

This unit of study aims to provide an introduction to the theory and practice of transport models as used for traffic operations. Topics include: travel demand forecasting; choice modelling; agent-based modeling; queuing and traffic flow; intelligent transport systems; the microscopic and macroscopic fundamental diagrams; highway operation; congestion control; static, quasi-dynamic and dynamic network equilibrium; the four-step (generation, distribution, mode choice and assignment) transport model; macroscopic models vs microscopic simulation; transport data sources and survey methodology; introduction to the main transport modelling software packages; coordinated control.

Unit details and rules

Unit code CIVL5702
Academic unit Civil Engineering
Credit points 6
Assumed knowledge

(CIVL2700 OR CIVL9700) AND (MATH1001 OR MATH1021) AND (MATH1003 OR MATH1023) AND MATH1005 AND ENGG1801. Basic statistics through regression analysis, differential and integral calculus, computer programming.

Available to study abroad and exchange students


Teaching staff

Coordinator Mohsen Ramezani,
Type Description Weight Due Length
Assignment Assignment 1
5% Week 05 n/a
Outcomes assessed: LO1 LO2 LO4
Assignment Assignment 2
10% Week 06 n/a
Outcomes assessed: LO1 LO7 LO8 LO9
Presentation Project 1
15% Week 07 n/a
Outcomes assessed: LO1 LO10 LO9 LO8 LO7 LO6 LO5 LO4 LO2
Assignment Assignment 3
5% Week 08 n/a
Outcomes assessed: LO1 LO2 LO4
Assignment Assignment 4
10% Week 09 n/a
Outcomes assessed: LO1 LO4 LO8 LO9
Presentation group assignment Project 2
30% Week 10 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO9 LO10 LO7
Presentation group assignment Project 3
25% Week 13 n/a
Outcomes assessed: LO1 LO2 LO3 LO4 LO6 LO9 LO10 LO5 LO7 LO8
group assignment = group assignment ?

Assessment summary

  • Assignment 1:

Annotated bibliography (short report) of one scholarly paper identified by the student

  • Assignment 2:

A set of calculation-based problems

  • Assignment 3:

Annotated bibliography (short report) of one scholarly paper identified by the student

  • Assignment 4:

A set of calculation-based problems

  • Project 1: 

(live) Presentation and discussion + Report (7.5% + 7.5%)

  • Project 2: 

Video and (live) discussion + Report (15% + 15%)

  • Project 3: 

Video and (live) discussion + Report (12.5% + 12.5%)

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range


High distinction

85 - 100



75 - 84



65 - 74



50 - 64



0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see

For more information see guide to grades.

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

- If you need an extension for any of the assignments, you must submit a written request 48-hours before the due time and date outlining the reasons for requesting the extension and attaching supportive evidence such as a medical certificate. The request for an extension should be sent as an email to the Unit Coordinator. The email must be sent from your University email address. - Note that no assignment will be accepted once the solution has been returned to the students. - Assignments submitted electronically are due at 23:59 on the submission day. Assignment penalty for lateness is 5% per day. Assignments more than 10 days late or submitted once after the solutions are released on Canvas get 0. - Project videos and reports are due at 23:59 on the submission day. Video and report penalties for lateness is 10% per day. Videos and reports more than 5 days late get 0.

Academic integrity

The Current Student website  provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.  

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

You may only use artificial intelligence and writing assistance tools in assessment tasks if you are permitted to by your unit coordinator, and if you do use them, you must also acknowledge this in your work, either in a footnote or an acknowledgement section.

Studiosity is permitted for postgraduate units unless otherwise indicated by the unit coordinator. The use of this service must be acknowledged in your submission.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

WK Topic Learning activity Learning outcomes
Week 01 Opening Session; Introduction to Traffic Engineering; Fundamental of Traffic Flow Theory Lecture (4 hr) LO7
Week 02 Shock Waves in Traffic Lecture and tutorial (4 hr) LO6 LO7 LO8
Week 03 Microscopic Traffic Models Lecture (4 hr) LO6 LO7
Week 04 Motorway Traffic Management; Lab 2 Lecture and tutorial (4 hr) LO6 LO8 LO10
Week 05 Introduction to Microsimulation-Aimsun; Lab 1 Simulation laboratory (4 hr) LO1 LO5 LO6 LO7
Week 06 Advanced Intersection Control; Lab 1 and 2 Lecture and tutorial (4 hr) LO3 LO4 LO5 LO6 LO7 LO8 LO10
Week 07 Queueing Theory; Unsignalized Intersections Lecture (4 hr) LO6 LO7 LO8
Week 08 Unsignalized Intersections and Roundabouts; Lab 2 Lecture and tutorial (4 hr) LO3 LO6 LO8
Week 09 Lab 2 Computer laboratory (4 hr) LO1 LO2 LO3 LO4 LO6 LO9
Week 10 Lab 2 Computer laboratory (4 hr) LO1 LO2 LO3 LO4 LO6 LO9
Week 11 Lab 3 Computer laboratory (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 12 Lab 3 Computer laboratory (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10
Week 13 Project 3 feedback and discussion Presentation (4 hr) LO1 LO2 LO3 LO4 LO5 LO6 LO7 LO8 LO9 LO10

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. Choose external information extracts, evaluate their reliability and relevance, and synthesise related content
  • LO2. Demonstrate effective communication of solutions of multifaceted traffic problems through well-prepared reports
  • LO3. Function effectively and cooperatively within peer teams to deliver traffic related projects
  • LO4. Present ideas and the results of analyses in the appropriate language and terms for professional engineers
  • LO5. Practice quantitative traffic data collection trials and analyze them in traffic simulators
  • LO6. Associate the interplay between traffic flow theory and traffic practice
  • LO7. Understand different traffic modelling approaches
  • LO8. Apply traffic flow and queueing theories to design and optimize traffic systems
  • LO9. Perform problem identification, formulation, and solution
  • LO10. Develop practical solutions for traffic problems based on the application of traffic engineering principles.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities

This section outlines changes made to this unit following staff and student reviews.

Assessments are made more spread throughout the semester. The weightings of assessments are re-allocated based on students' feedback. Accordingly, learning contents have been edited and shuffled.


The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.