Digitale Lehre
Digital lectures. Further (access-)information is provided via Moodle course.
Lehrinhalte
[list]
[*]Fundamentals
[*]Input data and forecasting methods
[*]Trip generation
[*]Trip distribution
[*]Modal choice/modal split
[*]Route assignment
[*]Quality assurance and assessment of transport models
[*]Selected topics
[/list]
[u]Learning outcome[/u]
The students have the ability to familiarize themselves with new facts and methods of transport modelling and their related neighbour disciplines.
They have the ability to solve very complex problems with scientific principles on their own, especially in this fields.
Additionally they are able to act creatively, e.g. to gather new findings and to develop new methods and solutions as they have acquired special methodical competences in these fields.
Literatur
lecture notes
Online-Angebote
moodle
Digital lectures. Further (access-)information is provided via Moodle course.
Lehrinhalte
[list]
[*]Fundamentals
[*]Input data and forecasting methods
[*]Trip generation
[*]Trip distribution
[*]Modal choice/modal split
[*]Route assignment
[*]Quality assurance and assessment of transport models
[*]Selected topics
[/list]
[u]Learning outcome[/u]
The students have the ability to familiarize themselves with new facts and methods of transport modelling and their related neighbour disciplines.
They have the ability to solve very complex problems with scientific principles on their own, especially in this fields.
Additionally they are able to act creatively, e.g. to gather new findings and to develop new methods and solutions as they have acquired special methodical competences in these fields.
Literatur
lecture notes
Online-Angebote
moodle
- Lehrende: Manfred Boltze
- Lehrende: Owen Roger Dieleman
- Lehrende: Regina Linke
Semester: WT 2020/21