Enrolment options

SPT-E4010 - Transport Modelling D, Lecture, 8.1.2024-15.2.2024

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

  • Justify data collection and management methods and technologies;
  • Apply trip-based, discrete-choice, and activity-based models for transport systems planning;
  • Recognise differences and similarities between different models and approaches used for transport systems planning;
  • Identify needs for transport modelling and related decisions in a multi-user and multi-stakelholder environment;
  • Judge possible solutions to transport-related problems via appropriate transport modelling tools and defend their suitability with an entrepreneurial mindset;
  • Follow scientific literature in transport systems modelling;

Credits: 5

Schedule: 08.01.2024 - 15.02.2024

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:

    • Main concepts of Transport Modelling
    • Data management 
    • Trip generation
    • Trip distribution
    • Modal split
    • Traffic assignment 
    • User equilibrium vs System optimum
    • Activity- agent-based modelling
    • Integrated land-use and transport models
    • Use of transport modelling in the decision-making context
    • Analysis methods for research on users and values
    • Entrepreneurial mindset for well-informed business decisions

Assessment Methods and Criteria

  • valid for whole curriculum period:

    • Individual home assignments (60%)
    • Group work (40%)

    The course will be assessed with the scale 0-5. To pass the course (grade 1), a student has to achieve at least 50% in "Individual home assignments".

Workload

  • valid for whole curriculum period:

    • Contact sessions 36 h
    • Recorded lectures 10 h
    • Individual home exercises 46 h
    • Group-work 42 h

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    3 Good Health and Well-being

    5 Gender Equality

    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 III
    2023-2024 Spring III

    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.

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof

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