School of Architecture and Civil Engineering

Microscopic Modelling and Simulation

Microscopic Modelling and Simulation (MVWING 2021 - 1.4) is a module, offered within the M.Sc. VWING and M.Sc. BAUING study programmes.

Basic Information

Module: VWING - Mandatory / BAUING - Elective Module

Effort: VWING - 6 CP / 180 hours / BAUING - 3 CP / 90 hours

Module duration: 1 semester

Recommended FS: 2nd semester

Frequency: Every second semester (summer semester)

Repeatability: Twice

Teaching form: Lecture/exercise

Evidence: VWING - written examination (60 min, 4 CP) Homework (without grade) / BAUING - written examination (60 min, 3 CP)

Content and Learning Goals

Students know the basics of microscopic modeling, which is used to set up simulations in the field of transportation. They can develop, apply and check microscopic models.

Learning Outcomes

The students:

  • understand the terms model and simulation in general and in relation to transportation,
  • know the different scales of modeling and simulation (macroscopic, mesoscopic and microscopic) and know when which type of model should be used,
  • understand what types of field data are required to create, calibrate and validate a microscopic traffic simulation model,
  • are able to use the microscopic simulation software PTV Vissim to create a simple model that includes the road network, traffic demand and realistic road user behavior,
  • Understand the concepts of calibration and validation and apply simple approaches
    to both,
  • Understand how to use a calibrated and validated simulation model to conduct a
    traffic study and calculate the number of required simulation runs and,
  • Familiarize themselves with the microscopic traffic simulation software Aimsun and
    SUMO.

Summersemester 2024

When and where

  • Weekday: Tuesday
  • Time: 10:00 am - 11:30 am
  • Room: HC.01.38
  • First date: 09.04.2024

Lectures

    Univ.-Prof. Dr.-Ing. Heather Kaths

Exercises

    Daniel Muthmann from PTV

Contact person

    Danil Belikhov

Further information

More information about #UniWuppertal: