SMUA4200 Traffic Engineering and Intelligent Transport Systems Course description

All exams will be assessed by two examiners, one of whom must be external.

None.

• The course builds on MABIO4110 or the equivalent.
• Basic technical laboratory skills in methods in biochemistry and cell biology at bachelor’s degree level.

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.

Two individual assignment must be approved.

Students who fail to meet the coursework requirements can be given up to one re-submission opportunity.

1) Project report prepared in groups, approx. 15 - 20 pages (excl. appendices), weighted 70%.

2) Oral presentation and examination of the project report, weighted 30%.

All assessment parts must be awarded a pass grade (E or better) to pass the course.

Assessment parts: 1)can be appealed, 2) cannot be appealed

1) All aids are permitted, as long as the rules for source referencing are complied with.

2) None

Graded scale A-F.

1) One internal examiners.

2) Two internal examiners.

External examiners are used regularly.

Chaoru Lu: chaorulu@oslomet.no