001045463 001__ 1045463
001045463 005__ 20251210202146.0
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001045463 0247_ $$2datacite_doi$$a10.34734/FZJ-2025-03515
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001045463 1001_ $$0P:(DE-HGF)0$$aBracke, Stefan$$b0$$eEditor
001045463 245__ $$aModelling Vehicle and Pedestrian Collective Dynamics: Challenges and Advances
001045463 260__ $$aWiesbaden$$bSpringer Fachmedien Wiesbaden$$c2025
001045463 29510 $$aSafety Engineering / Bracke, Stefan (Editor) ; Wiesbaden : Springer Fachmedien Wiesbaden, 2025, Chapter 5 ; ISBN: 978-3-658-47472-0 ; doi:10.1007/978-3-658-47473-7
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001045463 520__ $$aIn 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.
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001045463 7001_ $$0P:(DE-HGF)0$$aPieper, Ralf$$b1$$eEditor
001045463 7001_ $$0P:(DE-Juel1)159135$$aTordeux, Antoine$$b2$$eCorresponding author
001045463 7001_ $$0P:(DE-HGF)0$$aAppert-Rolland, Cécile$$b3
001045463 7001_ $$0P:(DE-HGF)0$$aNicolas, Alexandre$$b4
001045463 7001_ $$0P:(DE-Juel1)132266$$aSeyfried, Armin$$b5$$ufzj
001045463 7001_ $$0P:(DE-HGF)0$$aUllmo, Denis$$b6
001045463 773__ $$a10.1007/978-3-658-47473-7_5
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