Fakultät für Maschinenbau und Sicherheitstechnik

Traffic models and autonomous driving [MAD]

Context Mini-course for PhD candidates and researchers
Organisation Lecture and exercise
Material Slides + NetLogo scripts with datasets

The topic of the mini-course is about road traffic flow models, especially microscopic models, and autonomous driving. It is intended to doctoral students, post-docs and researchers interested by road traffic and pedestrian dynamics, and the thematic of connected and autonomous vehicles. An introduction to traffic flow theory presents their main variables, models and empirical characteristics. The traffic is introduced as a complex dynamical system describing many collective self-organized phenomena emerging from the interactions, typically stop-and-go waves (phantom jam) or lane formation. Several classical traffic models borrowed from the literature are simulated in real time using the multi-agent freeware NetLogo. The participants will be trained to use NetLogo and to develop and simulate different vehicular and pedestrian motion models from the literatur.

  1. Introduction to traffic flow theory
  2. Empirical characteristic of traffic flow and pedestrian dynamics
  3. Automated and connected driving
  4. Collective stability analysis
  5. Simulation with NetLogo

     

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