WIW07360 – Traffic Simulation

Module
Traffic Simulation
Traffic Simulation
Module number
WIW07360
Version: 1
Faculty
Business Administration
Level
Master
Duration
1 Semester
Semester
Summer semester
Module supervisor

Prof. Dr. Matthias Richter
M.Richter(at)fh-zwickau.de

Lecturer(s)

Prof. Dr. Matthias Richter
M.Richter(at)fh-zwickau.de

Course language(s)

English
in "Traffic Simulation"

ECTS credits

6.00 credits

Workload

180 hours

Courses

4.00 SCH (2.00 SCH Vorlesung | 2.00 SCH Internship)

Self-study time

120.00 hours
120.00 hours Self-study - Traffic Simulation

Pre-examination(s)
None
Examination(s)

schriftliche Prüfungsleistung
Module examination | Examination time: 90 min | Weighting: 100%
in "Traffic Simulation"

Media type
No information
Instruction content/structure
  • Modeling and simulation of traffic flow with the help of deterministic models
  • Basics of stochastic simulation, generating random numbers, Monte Carlo Methods, Fundamentals of stochastic processes
  • Stochastic simulation of relevant components of the traffic flow
  • Performing experiments in micro simulation based on own programs developed with the help of standard software (MATLAB)
  • Transport planning, 4-step model (trip generation, trip distribution, mode choice, route assignment), with a focus on analyzing and comparing several route choice models
  • Implementation in macroscopic and microscopic traffic simulation tools (VISUM / VISSIM)
Qualification objectives

After successful completion of the module "Traffic simulation" students are able to analyze complex relationships in various transport systems with the help of simulation methods.

They can model, reproduce and forecast corresponding effects with software tools and have insights in the underlying models and theories.

Especially, they know the most important models and methods for macroscopic and microscopic traffic simulation and are able to develop their own simulation models as well as to extract and interpret the appropriate results.

Based on solid mathematical and statistical foundations, students gain insight in the basic principles, advantages, but also limits of traffic simulation methods. 

Special admission requirements

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Recommended prerequisites

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Continuation options
No information
Literature
  • Hensher, D.A./Button, K.J. (eds): Handbook of Transport Modelling, Elsevier, Oxford, 2007.
  • Moeschlin O., Grycko E., Pohl C., Steinert F.: Experimental Stochstics, Springer, Berlin Heidelberg,  2003.
  • Schnabel, W./Lohse, D.: Grundlagen der Straßenverkehrstechnik und der Verkehrsplanung, Bd. 1,2, Beuth Verlag, Berlin Wien Zürich, 2011.
  • Treiber, M., Kesting, A.: Traffic Flow Dynamics. Data, Models and Simulation,  Springer, Berlin Heidelberg,  2013.
Notes
No information