Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

A student who has passed the course is able to

  • Describe the main characteristics of traffic flow
  • Represent traffic phenomena using different methods and tools
  • Recognise how traffic congestion starts and propagate for different transport modes
  • Select and apply appropriate methods and techniques for analysing traffic-related problems
  • Interpret and elaborate different type of traffic data
  • Follow scientific literature in traffic flow theory

Credits: 5

Schedule: 26.02.2024 - 11.04.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Claudio Roncoli

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The course content includes:

    • Basic characteristics of traffic flow
    • Tools for analysing traffic behaviour and characteristics
    • Macroscopic and microscopic modelling of traffic flow
    • Analysis of traffic operations for various facilities

Assessment Methods and Criteria
  • valid for whole curriculum period:

    • Individual home assignments (55%)
    • Group work (45%)

    The course will be assessed with the scale 0-5. To pass the course (grade 1), a student has to achieve at least

    • 45% in "Individual home assignments"
    • 50% in "Individual home assignments" + "Group work"

Workload
  • valid for whole curriculum period:

    • Contact sessions 34 h
    • Individual home exercises 56 h
    • Group-work 44 h

DETAILS

Study Material
  • valid for whole curriculum period:

    Available learning material includes:

    • In-class lectures and activities
    • Individual home assignments
    • Course material and scientific literature
    • Simulation tools guides and manuals
    • Video recordings on extra topics (optional)

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    8 Decent Work and Economic Growth

    9 Industry, Innovation and Infrastructure

    10 Reduced Inequality

    11 Sustainable Cities and Communities

    12 Responsible Production and Consumption

    13 Climate Action

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring IV
    2023-2024 Spring IV

    Enrollment :

    Registration for courses will take place on Sisu (sisu.aalto.fi). The maximum number of students is 40. Students of the Master's programme in Spatial Planning and Transportation Engineering are prioritised.