SMUA4200 Traffic Engineering and Intelligent Transport Systems Course description

Studiet gjennomføres på deltid over ett semester. Undervisningen består av forelesninger, diskusjoner, veiledning, selvstudier og praktisk arbeid. Undervisningen er lagt opp med 3-5 samlinger i semesteret. Studiet omfatter om lag 350 arbeidstimer for studenten. Av disse er omtrent 70 timer undervisning og veiledning med lærere på samlinger.

I vurdering av oppgaver underveis tar en sikte på å øve opp studentenes evne til å reflektere over praktiske og teoretiske tilnærmingsmåter. Den endelige formelle vurderingen skjer ved eksamen.

None.

For å kunne framstille seg til eksamen må studenten ha følgende godkjente arbeidskrav og obligatorisk tilstedeværelse:

Arbeidskrav:

Det gis til sammen ett arbeidskrav:

• Muntlig presentasjon av et undervisningsforløp til et valgfritt trinn eller aldersgruppe som studenten selv har utviklet ved bruk av relevant programvare/verktøy fra emnet. Utdanningsforløpet skal presenteres muntlig for medstudenter fysisk på campus, eller i et egnet digitalt medium, ledsaget for eksempel av powerpoint, video, eller andre presentasjonsformer. Presentasjonen skal dokumentere prosess og tenkt gjennomføring, samt inneholde refleksjoner rundt fagdidaktiske momenter knyttet til oppgaven.

Obligatorisk tilstedeværelse i undervisningen

Det er krav om minimum 80 prosent deltagelse i all organisert og timeplanlagt undervisning.

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 (in the project group) and examination of the project report, weighted 30%.

Grading is individual, which means that grades may differ within each group. Both oral and written examinations can be presented/written in teams. To ensure that individual grading should be possible, each group of students will provide a written and signed statement in where each individual's contribution is clearly stated and explained.

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

Mária Magdolna Vida

Graded scale A-F.

1) Two internal examiners.

2) Two internal examiners.

External examiners are used regularly.

Chaoru Lu: chaorulu@oslomet.no