Unit of study_

CIVL5702: Traffic Engineering

Overview

This unit of study aims to provide an introduction to the theory and practice of models and methods used for traffic operations. Topics include: queuing and traffic flow theory; traffic states; microscopic traffic models; fundamental diagrams; highway operation; ramp metering; congestion control; microscopic traffic simulation; transport data sources; unsignalized intersections and roundabouts; actuated and coordinated traffic signal control.

Unit details and rules

Unit code CIVL5702 Civil Engineering 6 None None None (CIVL2700 OR CIVL9700) AND (MATH1001 OR MATH1021) AND (MATH1003 OR MATH1023) AND MATH1005 AND (ENGG1801 or ENGG1810). Basic statistics through regression analysis, differential and integral calculus, computer programming Yes

Teaching staff

Coordinator Mohsen Ramezani, mohsen.ramezani@sydney.edu.au Mohsen Ramezani

Assessment

Type Description Weight Due Length
Assignment Assignment 1
Annotated bibliography of a scholarly paper; Report
5% Week 05 n/a
Outcomes assessed:
Assignment Assignment 2
A set of calculation-based problems
4% Week 06 n/a
Outcomes assessed:
Presentation Project 1
Data analytics - Individual Presentation and Group Report
27.5% Week 07 n/a
Outcomes assessed:
Assignment Assignment 3
A set of calculation-based problems
10% Week 08 n/a
Outcomes assessed:
Presentation Project 2
Simulation-based project
15% Week 09 n/a
Outcomes assessed:
Assignment Assignment 4
Annotated bibliography of a scholarly paper; Report
5% Week 11 n/a
Outcomes assessed:
Presentation Project 3
Simulation-based project - Individual Presentation and Group Report
27.5% Week 13 n/a
Outcomes assessed:
Assignment Assignment 5
A set of calculation-based problems
6% Week 13 n/a
Outcomes assessed:
= 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:

A set of calculation-based problems

• Assignment 4:

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

• Assignment 5:

A set of calculation-based problems

• Project 1:

(live) Presentation and discussion (individual) + Report (group) (12.5% + 15%)

• Project 2:

(live) Presentation and discussion (individual) (15%)

• Project 3:

(live) Presentation and discussion (individual) + Report (group) (12.5% + 15%)

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

Description

High distinction

85 - 100

Distinction

75 - 84

Credit

65 - 74

Pass

50 - 64

Fail

0 - 49

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

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 reports are due at 23:59 on the submission day. Report penalties for lateness is 10% per day. Reports more than 5 days late get 0.

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.

Learning support

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.

Weekly schedule

WK Topic Learning activity Learning outcomes
Week 01 Opening Session; Introduction to Traffic Engineering; Fundamental of Traffic Flow Theory Lecture (4 hr)
Week 02 Fundamentals of Traffic Flow Theory; Lab 1 Lecture and tutorial (4 hr)
Week 03 Shock Waves in Traffic; Lab 1 Lecture and tutorial (4 hr)
Week 04 Shock Waves in Traffic; Lab 1 Lecture and tutorial (4 hr)
Week 05 Microscopic Traffic Models; Lab 1 Lecture and tutorial (4 hr)
Week 06 Microscopic Traffic Models; Lab 1 Lecture and tutorial (4 hr)
Week 07 Motorway Traffic Management; Introduction to Microsimulation-Aimsun Lecture and tutorial (4 hr)
Week 08 Introduction to Microsimulation-Aimsun; Lab 2 Lecture and tutorial (4 hr)
Week 09 Lab 2; Project 2 presentations Presentation (4 hr)
Week 10 Advanced Intersection Control; Lab 3 Lecture and tutorial (4 hr)
Week 11 Queueing Theory; Unsignalized Intersections; Lab 3 Lecture and tutorial (4 hr)
Week 12 Unsignalized Intersections and Roundabouts; Lab 3 Lecture and tutorial (4 hr)
Week 13 Lab 3; Project 3 presentations Presentation (4 hr)

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

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

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.