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.

The exam is assessed by one internal and one external examiner.

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

This course will consist of lectures, one seminar (includes invited lecturers, discussions and presentations), and lab sessions to provide theoretical content and preliminary hands-on experience. The students will also be given a group project during the semester.

This course deals with central theoretical and methodological issues relating to power and inequality in developing countries.

No prerequisite knowledge required.

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

The student:

• has thorough knowledge of important theoretical and empirical issues linked to inequality and power in the Global South.
• has advanced research-based knowledge of global inequality and poverty.

Skills

The student:

• is capable of explaining how theoretical perspectives and methodological approaches influence findings on the relationships between power and inequality in the Global South.
• is capable of comparing and critically assessing theories and methods applied to studies of power and inequality.
• is capable of analysing existing theories and perspectives with respect to connections between power and distribution in the Global South.

General competence

The student:

• is capable of transferring and adapting research questions and approaches from the analysis of power and distribution in developing regions to other geographical areas, including Norway and other OECD countries.
• is capable of assessing, applying and disseminating new knowledge and academic perspectives related to the study of inequality and power.

The following required coursework must be approved before the student can take the exam:

• The student must give a presentation lasting 15-30 minutes (individually or as part of a group) of an article, chapter in a book etc. at a plenary session during the course.
• Students must individually submit a 1-page / approx. 450-word preliminary description of their master’s thesis research topic.
• 80 % attendance requirement (see the programme description for more information).

The purpose of the coursework requirement is to ensure all students’ begin the work of articulating their master’s research topic, to receive feedback about it, and to support the future preparation of full research project.

The purpose of the oral presentation is to encourage students to engage in more oral activity and improve their oral presentation skills, and to present the academic content to a live audience in an organised and effective manner. The oral presentation is intended to help the student to acquire the skills specified in the learning outcomes for the course.

The course is assessed on the basis of an individual written home exam over five days, with a scope of 3,500 words +/- 10 %.

Resit/rescheduled exam:

Resit/rescheduled exam is organised in the same way as the ordinary exam.

Examination support material is permitted.