ENTR615-19A (C) Any Time Start 2019

Advanced traffic flow theory and simulation

15 points

Details:
Start/End Date: The start and end dates are specific to each student. For further information please contact one of the following (as appropriate):
  • For Masters theses please contact the relevant Faculty Office.
  • For Doctoral degrees (PhD) please contact the Graduate School.
  • For other types of anytime start courses (i.e. generally courses worth 60 points or less) please contact the Course Coordinator.
Withdrawal Dates
The withdrawal dates for this course (both with and without fee refund) will be confirmed once a) the course start date and b) course length is confirmed. Students are advised to consult the department for further information.

Description

This course introduces advanced concepts and principles of traffic flow modelling. Participants will also obtain skills in the practical application of traffic simulation software.

This postgraduate course will:

- Provide participants with advanced principles of modelling traffic flow dynamics.
- Provide some basic concepts of model based real-time traffic flow estimation using loop detector
data (i.e. Kalman filter)
- Introduce principles of traffic signal design at an isolated intersection and in a network.

No prior practical experience in transport modelling is assumed, although some previous  exposure to the theoretical elements of traffic engineering or transport planning is useful. The engineering undergraduate course ENCN412 (Traffic Engineering) or equivalent (e.g. ENTR401) is considered a useful pre-requisite.

Learning Outcomes

- Provide participants with a solid grounding in the advanced concepts of macro-, meso- and
micro-scopic traffic flow models and best practice in their use.
- Provide concepts of model based real-time traffic flow estimation using loop detector data
(i.e. Kalman filter).
- Students will learn some advanced skills in using a macroscopic and microscopic simulation
package (i.e. Cell Transmission Model-CTM and AIMSUN: https://www.aimsun.com )
- Case studies in real-work transport networks will be examined to illustrate the application of
traffic flow models and data, methods for calibrating, analysing and using them, and to
investigate their scope and limitations.

Prerequisites

ENCN412: traffic engineering or equivalent

Timetable Note

Block Course dates for 2019:

2-3 Sept and 16-17 Sept

Course Coordinator / Lecturer

Dong Ngoduy

Lecturer

Mehdi Ekbatani

Textbooks / Resources

Detailed handouts/notes will generally be provided covering the topics discussed. Students are also
expected to annotate this material or make their own notes. There is no prescribed text, but some useful relevant documents are available in the Engineering Library and will be referenced where appropriate.  Similarly, many useful websites and online documents will also be referred to in the course material.

Some course material and web-links will be provided on Learn, the university’s online teaching system
(see separate handout), and students will be expected to use this to supplement any handouts and notes taken in class. Students will also be expected to monitor the Learn discussion & news forums for notices about the course and its assessment, and to use it to send back any queries.

Indicative Fees

Domestic fee $1,080.00

* 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 ENTR615 Occurrences

  • ENTR615-19A (C) Any Time Start 2019
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