Use the Tab and Up, Down arrow keys to select menu items.
This course will provide students with a fundamental understanding of traffic network estimation techniques, including control theory, traffic estimation and traffic control techniques using a variety of simulation and software packages. This course is expected to develop student skills to the level where the student understands the theory behind traffic control and can identify, diagnose and manage traffic flow problems.
This course can be considered as a complementary course of ENCN261 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. ObjectivesThe 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.
At the end of the course, students should: 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.
Subject to approval of the Programme Director.
Students must attend one activity from each section.
Block course dates for 2019:26-27 Aug30 Sept-1 OctThe course will comprise ~24 lectures and labs, presented in two 2-day blocks in Semester 2, 2019. Apart from these days, students are expected to study the materials provided, and work on the relevant assignments.
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.
Domestic fee $1,114.00
International Postgraduate fees
* 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.