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Traffic models and autonomous driving

        

ContextMini-course for PhD candidates or researchers
Organisation

6 * 2 hours of lecture and exercise with NetLogo

Online with Zoom (registration by email: tordeux{at}uni-wuppertal.de)

MaterialSlides + NetLogo script

      

Content

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 vehicle. An introduction to traffic flow theory presents the main variables, models and empirical characteristics. The traffic is introduced as a complex dynamical system, describing many collective self-organized emergent phenomena, 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 models for the automation of the speed.

Flyer

Plan:

  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

        

Books and articles
M. Treiber und A. Kesting. Traffic Flow Dynamics, Springer, 2013.
B. S. Kerner. The Physics of Traffic, Springer, 2004.
G. Gunter et al. Are commercially implemented adaptive cruise control systems string stable? CoRR, arXiv:1905.02108, 2019.
B. Paden et al. A Survey of Motion Planning and Control Techniques for Self-Driving Urban Vehicles. IEEE Transactions on Intelligent Vehicles 1(1):33–55, 2016.
 A. Tordeux, M. Roussignol, S. Lassarre. Linear stability analysis of first-order delayed car-following models on a ring. Phys. Rev. E 86:036207, 2012.
 R.E. Wilson, J.A. Ward. Car-following models: fifty years of linear sta-
bility analysis – A mathematical perspective. Transportation Planning
and Technology, 34(1):3–18, 2011.

      

Videos and links