Zobrazeno 1 - 10
of 457
pro vyhledávání: '"SCHADSCHNEIDER, ANDREAS"'
Enormous progress have been made in the last 20 years since the publication of our review \cite{csk05polrev} in this journal on transport and traffic phenomena in biology. In this brief article we present a glimpse of the major advances during this p
Externí odkaz:
http://arxiv.org/abs/2410.23735
The emergent collective motion of active agents - in particular pedestrians - at a three-way intersection is studied by Langevin simulations of cognitive intelligent active Brownian particles (iABPs) with directed visual perception and self-steering
Externí odkaz:
http://arxiv.org/abs/2405.18528
Traffic safety at intersections is studied quantitatively using methods from Statistical Mechanics on the basis of simple microscopic traffic flow models. In order to determine a relationship between traffic flow and the number of crashes, the modell
Externí odkaz:
http://arxiv.org/abs/2311.09318
The macroscopic fundamental diagram (MFD) is a large scale description of the traffic in a urban area and relates the average car flow to the average car density. This MFD has been observed empirically in several cities but how its properties are rel
Externí odkaz:
http://arxiv.org/abs/2310.06531
Single-file dynamics has been studied intensively, both experimentally and theoretically. It shows interesting collective effects, such as stop-and-go waves, which are validation cornerstones for any agent-based modeling approach of traffic systems.
Externí odkaz:
http://arxiv.org/abs/2308.07451
Many countries have introduced social distancing rules during the COVID-19 pandemic in order to reduce spreading of the virus in public spaces. This has inspired research on pedestrian dynamics in more ways than just one. Many studies have been perfo
Externí odkaz:
http://arxiv.org/abs/2308.06065
In fluid mechanics, dimensionless numbers like the Reynolds number help classify flows. We argue that such a classification is also relevant for crowd flows by putting forward the dimensionless Intrusion and Avoidance numbers.Using an extensive datas
Externí odkaz:
http://arxiv.org/abs/2307.12786
Autor:
Zhuang, Yifan a, Zou, Xiaolei b, ⁎, Schadschneider, Andreas c, Liu, Zhigang a, Huang, Jiajun d, Song, Xiaomin e
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 15 January 2025 658
The current/height fluctuation statistics of Kardar-Parisi-Zhang (KPZ) universality in 1+1 dimensions are sensitive to the initial state. We find that the averages over the initial states exhibit universal and scale-invariant patterns when conditioni
Externí odkaz:
http://arxiv.org/abs/2205.06062
The collective motion of interacting self-driven particles describes many types of coordinated dynamics and self-organisation. Prominent examples are alignment or lane formation which can be observed alongside other ordered structures and nonuniform
Externí odkaz:
http://arxiv.org/abs/2110.05874