Contribution to a book FZJ-2025-03515

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Modelling Vehicle and Pedestrian Collective Dynamics: Challenges and Advances

 ;  ;  ;  ;  ;  ;

2025
Springer Fachmedien Wiesbaden Wiesbaden
ISBN: 978-3-658-47472-0

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 Wiesbaden : Springer Fachmedien Wiesbaden 125-155 () [10.1007/978-3-658-47473-7_5]

This record in other databases:  

Please use a persistent id in citations: doi:  doi:

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.


Contributing Institute(s):
  1. Zivile Sicherheitsforschung (IAS-7)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)

Appears in the scientific report 2025
Database coverage:
OpenAccess
Click to display QR Code for this record

The record appears in these collections:
Dokumenttypen > Bücher > Buchbeitrag
Institutssammlungen > IAS > IAS-7
Workflowsammlungen > Öffentliche Einträge
Publikationsdatenbank
Open Access

 Datensatz erzeugt am 2025-08-19, letzte Änderung am 2025-12-10


OpenAccess:
Volltext herunterladen PDF
Dieses Dokument bewerten:

Rate this document:
1
2
3
 
(Bisher nicht rezensiert)