Traffic and transportation models (3143)

Contact Person :Prof. dr. JANSSENS Davy


Coordinating lecturer :Prof. dr. Davy JANSSENS 
Co-lecturer :Prof. dr. Marc AERTS 
Member of the teaching team :prof. dr. ir. Ansar-Ul-Haque YASAR 
Member of the teaching team :Prof. dr. ir. Bruno KOCHAN 
Member of the teaching team :ir. Wim ECTORS 
 

Language of instruction : English


Degree programmeStudyloadCredits

Master of Transportation Sciences Mobility Management 

162,00 

6,00   Optional

 

Exchange Programme Transportation Sciences 

162,00 

6,00   Optional

 




Learning outcomes
 
  • The master has an advanced level of knowledge and understanding, typical of scientific work in the field of transportation sciences.

Partial outcome: The master student is able to apply prevailing and advanced statistical analysis methods in the various steps of the 4-step model.

Evaluation criteria:

  • The master student can solve practice-based questions with respect to 4-step models using the various taught methods and techniques.
  • In the field of transportation, the master student is able to reflect critically on the output of the solution.
 
  • The master offers realistic solutions for complex traffic safety or transportation problems by using relevant theories and/or models from the field of study of transportation sciences or related domains.

Partial outcome: The master student can select suitable submodels of the 4-step model for a concrete transportation modelling problem, taking into account the available traffic data and desired model results.

Evaluation criteria:

  • Based on available data, the master student is able to assess submodels of the 4-step model.
  • The master student is able to critically assess the parameters of the submodels.
 
  • The master is able to autonomously carry out research in transportation sciences, formulate recommendations and show their practical applicability in daily life, whilst keeping to the deontological codes of research.

Partial outcome: The master student is able to autonomously carry out own research related to transport modelling, using Multiple linear regression and Discrete choice theory.

Evaluation criteria:

  • The master student can autonomously solve a complex transportation problem using methods and techniques from the field of transport modelling.
  • The master student can assess the consequences of made choices.
Content
 

This course is a further exploration of the knowledge of the traditional transport model, of which the basic knowledge was gathered already in the course Modellen Verplaatsingsgedrag (2e bach transportation sciences).

Futhermore, the students gains insight in the role that different (statistical) models play in the development of a traditional transport model. He/she will develop the knowledge and skills to analyse a transport system in an autonomous way.

 

Teaching method
 

1. Lectures
2. Workshops
3. Paper
4. Practical Sessions
5. Interactive Lectures

Assessment method and additional conditions
 
  • Written exam 70%
  • Paper 30%
  • The use of a calculator is allowed during the exam.
  • Second exam period: With respect to the assignment/paper: The grade of the 1st examination period is only retained when the student passed (min 10/20)
Compulsory textbooks (bookshop)
  Modelling Transport,Ortúzar, J. and Willumsen, L.G.,4th edition,John Wiley & Sons Ltd,9780470760390
Recommended reading
 

McNally, Michael G. 2007. The Four Step Model. Working Paper. Irvine: Institute of Transportation Studies, University of California.

MOTOS. 2007. Transport Modelling: Towards Operational Standards in Europe MOTOS Handbook containing guidelines for constructing national and regional transport models Handbook of transport modelling (in Europe): learning from best practice. http://www.motosproject.eu/