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@INBOOK{Bracke:1045463,
      author       = {Tordeux, Antoine and Appert-Rolland, Cécile and Nicolas,
                      Alexandre and Seyfried, Armin and Ullmo, Denis},
      editor       = {Bracke, Stefan and Pieper, Ralf},
      title        = {{M}odelling {V}ehicle and {P}edestrian {C}ollective
                      {D}ynamics: {C}hallenges and {A}dvances},
      address      = {Wiesbaden},
      publisher    = {Springer Fachmedien Wiesbaden},
      reportid     = {FZJ-2025-03515},
      isbn         = {978-3-658-47472-0},
      pages        = {125-155},
      year         = {2025},
      comment      = {Safety Engineering / Bracke, Stefan (Editor) ; Wiesbaden :
                      Springer Fachmedien Wiesbaden, 2025, Chapter 5 ; ISBN:
                      978-3-658-47472-0 ; doi:10.1007/978-3-658-47473-7},
      booktitle     = {Safety Engineering / Bracke, Stefan
                       (Editor) ; Wiesbaden : Springer
                       Fachmedien Wiesbaden, 2025, Chapter 5 ;
                       ISBN: 978-3-658-47472-0 ;
                       doi:10.1007/978-3-658-47473-7},
      abstract     = {In our urbanised societies, the management and regulation
                      of traffic and pedestrian flows is of considerable interest
                      for public safety, economic development, and the
                      conservation of the environment. However, modelling and
                      controlling the collective dynamics of vehicles and
                      pedestrians raises several challenges. Not only are the
                      individual entities self-propelled and hard to describe, but
                      their complex nonlinear physical and social interactions
                      makes the multi-agent problem of crowd and traffic flow even
                      more involved. In this chapter, we purport to review the
                      suitability and limitations of classical modelling
                      approaches through four examples of collective behaviour:
                      stop-and-go waves in traffic flow, lane formation, long-term
                      avoidance behaviour, and load balancing in pedestrian
                      dynamics. While stop-and-go dynamics and lane formation can
                      both be addressed by basic reactive models (at least to some
                      extent), the latter two require anticipation and/or
                      coordination at the level of the group. The results
                      highlight the limitations of classical force-based models,
                      but also the need for long-term anticipation mechanisms and
                      multiscale modelling approaches. In response, we review new
                      developments and modelling concepts.},
      cin          = {IAS-7},
      cid          = {I:(DE-Juel1)IAS-7-20180321},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-658-47473-7_5},
      url          = {https://juser.fz-juelich.de/record/1045463},
}