Course Title: Intelligent Transport Systems

Part A: Course Overview

Course Title: Intelligent Transport Systems

Credit Points: 12.00

Course Code




Learning Mode

Teaching Period(s)


City Campus


115H Aerospace, Mechanical & Manufacturing Engineering


Sem 1 2016


City Campus


172H School of Engineering


Sem 1 2017

Course Coordinator: Dr Nirajan Shiwakoti

Course Coordinator Phone: +61 3 9925 6193

Course Coordinator Email:

Pre-requisite Courses and Assumed Knowledge and Capabilities

Fundamental knowledge on transport and traffic will be an advantage

Course Description

In this course you will study Intelligent Transport Systems (ITS) with an emphasis on how advanced technology is playing a growing role in the management of traffic and transportation systems. Several functional areas within ITS such as Advanced Traveller Information Systems (ATIS), Advanced Traffic Management Systems (ATMS) and Advanced Vehicle Control Systems (AVCS) are examined along with contemporary research methods. The fundamentals of human factors and ITS implementation issues are discussed. As the field of ITS is developing rapidly, this course is intended to provide you with a solid foundation that enables you to pursue further postgraduate studies or work in the designated field of ITS.       

Objectives/Learning Outcomes/Capability Development

Program Learning Outcomes (PLOs):
This course contributes to the development of the following program learning outcomes:
1 Needs, Context and Systems
• Describe, investigate and analyse complex engineering systems and associated issues (using systems thinking and modelling techniques)
2 Problem Solving and Design
• Develop creative and innovative solutions to engineering problems
3 Analysis
• Apply underpinning natural, physical and engineering sciences, mathematics, statistics, computer and information sciences.
4 Professional Practice
• Display a personal sense of responsibility for your work
• Demonstrate orderly management of self, and professional conduct.
5 Research
• Be aware of knowledge development and research directions within the engineering discipline.
• Assess, acquire and apply the competencies and resources appropriate to engineering activities
• Demonstrate professional use and management of information.


Course Learning Outcomes (CLOs):

Upon successful completion of this course you should be able to:
1. Apply the fundamentals of traffic flow theory in the management and operations of road traffic
2. Describe the range of technologies involved in the delivery of traveller information systems
3. Assess the range of options available for the management of freeway and arterial traffic
4. Investigate and analyse the current applications and trends in the context of AVCS
5. Research the contemporary issues in the application of advanced technology in transport

Overview of Learning Activities

The learning activities included in this course are:
• lectures: will guide students through important principles and concepts and assist in appropriate problem solving techniques;
• laboratory or tutorial sessions: will help students to connect theory to practice, and reinforce the principles and concepts learnt in the lectures; and
• project work: will help students learn many useful techniques for engineering project activities, including how to interact with staff and fellow students in a smaller group setting, communication and leadership skills.

Overview of Learning Resources

Course-related resources will be provided on myRMIT. These will include course notes or presentations, and other learning materials generated by the course lecturer(s), references, and approved links to useful material on external web-sites.

Overview of Assessment

X This course has no hurdle requirements.
☐ All hurdle requirements for this course are indicated clearly in the assessment regime that follows, against the relevant assessment task(s) and all have been approved by the College Deputy Pro Vice-Chancellor (Learning & Teaching).

• Assessment item:  Problem solving
Weighting of final grade: 15% 
Related course learning outcomes:   1
Description:  You will work on solving various fundamental and advanced numerical problems related to traffic flow theory

• Assessment item:  Report
Weighting of final grade:  25% 
Related course learning outcomes: 2, 3, 4, 5
Description:  You will submit a research report on ITS application case study

• Assessment item:  Presentation
Weighting of final grade: 10% 
Related course learning outcomes: 2, 3, 4, 5
Description:  You will present and defend the main findings from your report on ITS application case study

• Assessment item:  Exam 
Weighting of final grade: 50% 
Related course learning outcomes:  1, 2, 3, 4
Description: A closed book exam on the ITS topics covered in the class.