Job Description

Traffic simulation - modelling of transport demand

Bachelor's/Master's thesis

Your work environment:

The functional reliability of automated and networked driving must be guaranteed in every conceivable traffic situation. Extensive computer simulations of various traffic scenarios should systematically check this. For this purpose, it is necessary to provide the simulations with the relevant traffic events in correct models of the routes and, in particular, traffic flows. As part of the "SAVe:" research project, a virtual test field for the development of automated and networked mobility is being set up. In a digital twin of the city of Ingolstadt, new mobility solutions will be mapped and their influence on traffic analysed.

Your assignments:

The application of a traffic simulation as a test environment for automated and networked driving requires a realistic time- and location-dependent mapping of the surrounding traffic. Their contribution is the technical-scientific analysis of data from traffic counts of different data sources and their aggregation for the implementation of the traffic flows of the simulation.

  • Research on the state of the art of traffic simulations
  • Analysis of available traffic census data
  • Development of a methodology for automated evaluation and combination of existing data sources
  • Modelling of space- and time-dependent traffic loads in the microscopic traffic flow simulation SUMO
Your qualifications:
  • Studies in the fields of traffic engineering, mechanical engineering, electrical engineering, computer science, civil engineering or a comparable course of studies
  • Programming knowledge or in-depth IT knowledge (e.g. C++, Python, Matlab)
  • Practical experience through internships desirable
  • Interest in automated driving functions and computer simulation
  • Ideally experience with traffic flow simulation (SUMO, VISSIM, AIMSUN, etc.)
  • Willingness to work interdisciplinary in a project team

Information:

Please answer your questions Michael Harth
at the phone number +49 (0)841 89 - 9857

Traffic simulation - construction and validation of route models

Bachelor's/Master's thesis

Your work environment:

The functional reliability of automated and networked driving must be guaranteed in every conceivable traffic situation. Extensive computer simulations of various traffic scenarios should systematically check this. For this purpose, it is necessary to provide the simulations with the relevant traffic events in correct models of the routes and, in particular, traffic flows. As part of the "SAVe:" research project, a virtual test field for the development of automated and networked mobility is being set up. In a digital twin of the city of Ingolstadt, new mobility solutions will be mapped and their influence on traffic analysed.

Your assignments:

The application of a traffic simulation as a test environment for automated and networked driving requires a realistic time- and location-dependent mapping of the surrounding traffic. Their contribution is the technical-scientific analysis of data from traffic counts of different data sources and their aggregation for the implementation of the traffic flows of the simulation.

  • Research on the state of the art of traffic simulations
  • Analysis of available traffic census data
  • Development of a methodology for automated evaluation and combination of existing data sources
  • Modelling of space- and time-dependent traffic loads in the microscopic traffic flow simulation SUMO
Your qualifications:
  • Studies in the fields of traffic engineering, mechanical engineering, electrical engineering, computer science, civil engineering or a comparable course of studies
  • Programming knowledge or in-depth IT knowledge (e.g. C++, Python, Matlab)
  • Practical experience through internships desirable
  • Interest in automated driving functions and computer simulation
  • Ideally experience with traffic flow simulation (SUMO, VISSIM, AIMSUN, etc.)
  • Willingness to work interdisciplinary in a project team

Information:

Ihre Fragen beantwortet Michael Harth
unter der Telefonnummer 
+49 (0)841  89 – 9857