Institute of Computer Science
  1. Courses
  2. 2022/23 spring
  3. Mobility Modelling (LTAT.06.016)
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Mobility Modelling 2022/23 spring

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Objective

This course overviews fundamental topics in mobility modelling and urban dynamics from a modern perspective. The course's main objective is to use data to understand how, when, where, and eventually why people move. By analysing mobility's short-term and long-term impacts on the environment and society, we focus on transitioning from the traditional vehicle-centric vision in transportation and mobility modelling to a human-centric one. By the end of this course, you will have a big-picture view and a conceptual understanding of different models. You learn technical skills to use data for formulating various transportation and mobility problems and the practical knowledge needed to interpret them. Furthermore, you will be able to evaluate and analyse the model results quantitatively.

Course Schedule

  • Lectures
    • Monday 14.15 - 16.00, Delta 1008
    • Lecturer:
      • Mozhgan PourmoradNasseri (mozhgan@ut.ee)
      • Office hours: Please make an appointment by email.
  • Lab sessions
    • Individual work on tutorials.
    • Lab assistant:
      • Helen Tera (helen.tera@ut.ee)
      • Alireza Akhavi Zadegan
      • Office hours: Thursday 14.15 - 16.00, Delta 3043

Grading Policy

  • Final grade = Assignments (50%) + Project (50%).

Literature

The course covers selected topics from the following books. In addition, during the semester, relevant research papers will be added to the list.

  • Mobility Patterns, Big Data and Transport Analytics: Tools and Applications for Modeling
  • Modeling Urban Dynamics: Mobility, Accessibility and Real Estate Value
  • Mobility Data: Modeling, Management, and Understanding
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
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