SMUA4200 Traffic Engineering and Intelligent Transport Systems Course description

With the development of connected and autonomous vehicle technologies, the existing transport system is transforming towards the next-generation transport system which is digitalized, automated, and intelligent. This course will provide students with deep insight into traffic engineering, connected and autonomous vehicle technologies, and intelligent transport systems. The main topics covered by this course include traffic flow theory, advanced sensing technology, advanced vehicle control system, intelligent transport system, and other related topics. Moreover, the course will discuss the future development in the transportation area in terms of technology and intelligent management strategies.

None.

No formal requirements over and above the admission requirements.

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills, and general competence:

Knowledge:

Upon successful completion of the course, the student will achieve knowledge about:

• terminology and models for traffic flow
• driver behavior and advanced vehicle control models
• advanced sensing technologies
• intelligent transport system operation and management

Skills:

Upon successful completion of the course, the student is capable of:

• understanding and applying the proper knowledge and method to collect, process, and analyze traffic data
• using proper knowledge to investigate the impact of connected and/or autonomous vehicle on the transportation system
• choosing appropriate method to estimate traffic status and provide corresponding Intelligent Transport Systems (ITS) solutions
• making use of approved terminology and standardization within ITS
• making use of transport simulation software (AIMSUN or SUMO)

General competence:

Upon successful completion of the course, the student:

• has deep insight into the transport engineering and intelligent transport system areas and will be able to transform theoretical knowledge into practice in different real-world conditions
• is able to explain the impacts of new technologies on the intelligent transportation system
• is able to solve ITS-related problems and provide reasonable explanations of the results

Master's thesis is specialized individual research work in the field of universal design of ICT. Phase 3 (MT3) is dedicated to final analysis and writing the Master's thesis. Prototypes and/or other products that are developed as part of the project can also be part of the final thesis. The Master's thesis will be presented orally.

A student who has completed this course should have the following learning outcomes, defined in terms of knowledge, skills and general competence:

Knowledge

On successful completion of this course the student:

• has specialized knowledge on the specific areas of their Master thesis

Skills

On successful completion of this course the student

• can clearly define and limit problem areas
• can connect his/her own project to relevant research literature
• can plan and carry out limited research or development projects
• can identify types and scopes of results which are required to ensure the claims and conclusions are scientifically valid
• can reflect on the decisions made and their consequences for the project

General competence

On successful completion of this course the student

• can apply knowledge and skills in new areas and carry out advanced projects
• can analyse and deal critically with developed products or collected data
• can carry out comprehensive independent study
• can contribute to the innovation of universally designed ICT solutions

Successful completion of MT1 (Phase 1) and MT2 (Phase 2) forms the basis for MT3. The work is carried out under the guidance of the supervisor appointed at the start of MT1. Full-time students are expected to complete MT3 (Phase 3 - final Master's thesis) in the 4th semester. Part-time students are expected to complete MT3 (Phase 3 - final Master's thesis) in the 8th semester.

There are no coursework requirements in this course.

• Individual students will be assessed based on the written Master thesis (15 000 - 20 000 words in APA style 6th Edition). This part of the examination counts 90% of the final grade.
• Individual oral presentation (30 minutes). This part of the examination counts 10% of the final grade.

Both exams must be passed in order to pass the course.

The oral presentation cannot be appealed.

A grading scale of A (highest) to F (lowest) where A to E is a pass grade and F is a fail grade.

One internal and one external examiner will assess the Master's thesis and oral presentation.