Please note! Course description is confirmed for two academic years (1.8.2018-31.7.2020), 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 will be able to:
- Justify data collection and management methods and technology;
- Apply trip-based, discrete-choice and activity-based models for transport systems planning;
- Apply network theory to transport systems planning;
- Explain differences and similarities between different models used for transport systems planning;
- Follow scientific literature in transport systems modelling.
Credits: 5
Schedule: 11.01.2021 - 19.02.2021
Teacher in charge (valid 01.08.2020-31.07.2022): Claudio Roncoli
Teacher in charge (applies in this implementation): Claudio Roncoli
Contact information for the course (applies in this implementation):
CEFR level (applies in this implementation):
Language of instruction and studies (valid 01.08.2020-31.07.2022):
Teaching language: English
Languages of study attainment: English
CONTENT, ASSESSMENT AND WORKLOAD
Content
Valid 01.08.2020-31.07.2022:
- Introduction to Transport Modelling
- Data management
- Trip generation
- Trip distribution
- Modal split
- Traffic assignment
- User equilibrium vs System optimal
- Activity-based modelling
- Integrated land-use and transport models
Assessment Methods and Criteria
Valid 01.08.2020-31.07.2022:
Calculation exercises, home assignments and project.
Workload
Valid 01.08.2020-31.07.2022:
Contact sessions 40 h
Individual learning 40 h
Exercises 55 h
DETAILS
Substitutes for Courses
Valid 01.08.2020-31.07.2022:
Yhd-71.3235 Traffic Studies and Forecasting
SDG: Sustainable Development Goals
3 Good Health and Well-being
10 Reduced Inequality
11 Sustainable Cities and Communities
13 Climate Action
FURTHER INFORMATION
- Teacher: Mitts Håkan
- Teacher: Mohammadi Roozbeh
- Teacher: Roncoli Claudio
- Teacher: Zhou Ze