ENTR608-24X (C) General non-calendar-based 2024

Traffic Management and Monitoring

15 points

Start Date: Monday, 4 March 2024
End Date: Sunday, 19 May 2024
Withdrawal Dates
Last Day to withdraw from this course:
  • Without financial penalty (full fee refund): Sunday, 17 March 2024
  • Without academic penalty (including no fee refund): Sunday, 28 April 2024


Implementation of control theory in traffic control; introduction to coordinated urban network control; large-scale urban network modelling and control; traffic simulation; control theory in traffic engineering.

This course can be considered as a complimentary course of ENCN361 and ENCN412 at the undergraduate level. It provides an advanced and deep understanding of traffic control concepts and traffic state estimation methods in urban networks and motorways. The students learn fundamentals to simulate vehicular traffic in microscopic simulation environments and mimic realistic scenarios implementing traffic control strategies.

The main focus of this course is optimisation, simulation, modelling and evaluation of traffic flow control in urban networks and motorways.

More specifically, the objectives are:

• Providing participants with a solid background in conventional and innovative traffic estimation techniques.
• Introduction to control theory.
• Implementation of control theory in traffic control.
• Introduction to coordinated urban network control.
• Large-scale urban network modelling and control.
• Introduction to motorway traffic control: ramp metering, dynamic speed limits.
• Learning some advanced skills in using a microscopic simulation package (i.e. AIMSUN: https://www.aimsun.com).
• Working on exercises with AIMSUN for traffic simulation scenarios on motorway and urban networks.

Learning Outcomes

  • Be able to estimate the traffic state variables of the links and network based on novel and conventional estimation methods.
  • Know fundamentals of applying AIMSUN for traffic control and simulation purposes.
  • Be able to implement simple control algorithms to control traffic in motorways and urban networks (using AIMSUN; https://www.aimsun.com).
  • Compare the network performance under different control strategies.


ENCN261, ENCN412 or equivalent

Timetable 2024

Students must attend one activity from each section.

Computer Lab A
Activity Day Time Location Weeks
01 Tuesday 09:00 - 17:00 Rata 342 CAD Lab
15 Apr - 21 Apr
Intensive Block Course A
Activity Day Time Location Weeks
01 Monday 09:00 - 17:00 E15
4 Mar - 10 Mar
Intensive Block Course B
Activity Day Time Location Weeks
01 Tuesday 09:00 - 17:00 E15
4 Mar - 10 Mar
Intensive Block Course C
Activity Day Time Location Weeks
01 Monday 09:00 - 17:00 E10
15 Apr - 21 Apr
Intensive Block Course D
Activity Day Time Location Weeks
01 Tuesday 09:00 - 17:00 E10
15 Apr - 21 Apr

Timetable Note

The course will comprise ~24 lectures and labs, presented in two 2-day blocks in Semester 1, 2024.

Apart from these days, students are expected to study the materials provided, and work on the relevant assignments.

Course Coordinator

Mehdi Ekbatani

For any queries about this course, please contact Dr. Mehdi Keyvan-Ekbatani:
Email: mehdi.Ekbatani@canterbury.ac.nz (put .TMM. at the start of the email subject line

Textbooks / Resources

Detailed lecture notes and presentation handouts will generally be provided covering the topics discussed. Many other useful relevant documents will be available online, and will be referenced where appropriate. Some reference material will also be on display during the block courses. The course material and web-links will be provided on Learn, the university’s online teaching system. Students will also be expected to monitor the Learn discussion forums for notices about the course and its assessment, and to use the forums to raise any queries.

Indicative Fees

Domestic fee $1,197.00

* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.

For further information see Civil and Natural Resources Engineering .

All ENTR608 Occurrences

  • ENTR608-24X (C) General non-calendar-based 2024
  • ENTR608-24S2 (C) Semester Two 2024 - Not Offered