EPN-V2

SMUA4200 Traffic Engineering and Intelligent Transport Systems Course description

Course name in Norwegian
Traffic Engineering and Intelligent Transport Systems
Study programme
Master’s Programme in Civil Engineering
Master's Degree Programme in Transport and Urban Planning
Weight
10.0 ECTS
Year of study
2025/2026
Curriculum
FALL 2025
Schedule
Course history

Introduction

Prosjektoppgave som skal gjennomføres individuelt og inneholder:

  • Et praktisk-estetisk arbeid. Enkelt dokumentert med korte begrunnelser
  • Fagdidaktisk refleksjon i lys av sentral teori.

Prosjektoppgaven leveres enten skriftlig, totalt 2500 ord +/- 10% (Litteraturliste kommer i tillegg). Eller som muntlig presentasjon i digitalt format. Den muntlige presentasjonen kan leveres i powerpoint med lyd, podcast eller video. Presentasjonen skal vare i 10-15 minutter.

Eksamensresultatet kan påklages.

Recommended preliminary courses

None.

Required preliminary courses

Alle hjelpemidler er tillatt så lenge regler for kildehenvisning følges

Learning outcomes

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

Teaching and learning methods

To interne sensorer. Ekstern sensor brukes jevnlig.

Course requirements

Eva Kristin Nancke Øvreness

Assessment

For lærere som jobber i grunnskolen og/eller i kulturskolen.

Permitted exam materials and equipment

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

2) None

Grading scale

Graded scale A-F.

Examiners

1) Two internal examiners.

2) Two internal examiners.

External examiners are used regularly.

Course contact person

Chaoru Lu: chaorulu@oslomet.no