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Most car-following models show a transition from laminar to ``congested'' flow and vice versa. Deterministic models often have a density range where a disturbance needs a sufficiently large critical amplitude to move the flow from the…

统计力学 · 物理学 2007-05-23 Kai Nagel , Christopher Kayatz , Peter Wagner

A flow of moving agents can be observed at different scales. Thus, in traffic modeling, three levels are generally considered: the micro, meso and macro levels, representing respectively the interactions between vehicles, groups of vehicles…

多智能体系统 · 计算机科学 2014-01-28 Hassane Abouaïssa , Yoann Kubera , Gildas Morvan

The relation between flow and density is an essential quantitative characteristic to describe the efficiency of traffic systems. We have performed experiments with single-file motion of bicycles and compare the results with previous studies…

This article studies clogging phenomena using a velocity-based model for pedestrian dynamics. First, a method to identify prolonged clogs in simulations was introduced. Then bottleneck simulations were implemented with different initial and…

物理与社会 · 物理学 2021-05-11 Qiancheng Xu , Mohcine Chraibi , Armin Seyfried

Human crowds often bear a striking resemblance to interacting particle systems, and this has prompted many researchers to describe pedestrian dynamics in terms of interaction forces and potential energies. The correct quantitative form of…

物理与社会 · 物理学 2014-12-04 Ioannis Karamouzas , Brian Skinner , Stephen J. Guy

In a given scenario, simultaneously and accurately predicting every possible interaction of traffic participants is an important capability for autonomous vehicles. The majority of current researches focused on the prediction of an single…

机器学习 · 计算机科学 2018-10-31 Yeping Hu , Wei Zhan , Masayoshi Tomizuka

The effects of traffic congestion are widespread and are an impedance to everyday life. Piecewise constant driving policies have shown promise in helping mitigate traffic congestion in simulation environments. However, no works currently…

机器学习 · 计算机科学 2023-02-21 Aamir Hasan , Neeloy Chakraborty , Cathy Wu , Katherine Driggs-Campbell

We consider here probabilistic models of transportation flows. The main goal of this introduction is rather not to present various techniques for problem solving but to present some intuition to invent adequate and natural models having…

概率论 · 数学 2011-10-24 V. A. Malyshev , A. A. Zamyatin

This paper investigates the mathematical modeling and the stability of multi-lane traffic in the microscopic scale, studying a model based on two interaction terms. To do this we propose simple lane changing conditions and we study the…

经典分析与常微分方程 · 数学 2023-12-05 Matteo Piu , Gabriella Puppo

Car traffic in urban systems has been studied intensely in past decades but models are either limited to a specific aspect of traffic or applied to a specific region. Despite the importance and urgency of the problem we have a poor…

物理与社会 · 物理学 2019-09-11 Vincent Verbavatz , Marc Barthelemy

We present large scale and detailed analysis of the microscopic empirical data of the traffic flow, focusing on the non-linear interactions between the vehicles when the traffic is congested. By implementing a "renormalisation" procedure…

适应与自组织系统 · 物理学 2016-03-15 Bo Yang , Ji Wei Yoon , Christopher Monterola

Human crowd motion is mainly driven by self-organized processes based on local interactions among pedestrians. While most studies of crowd behavior consider only interactions among isolated individuals, it turns out that up to 70% of people…

物理与社会 · 物理学 2015-05-18 Mehdi Moussaid , Niriaska Perozo , Simon Garnier , Dirk Helbing , Guy Theraulaz

Urban traffic regulation policies are increasingly used to address congestion, emissions, and accessibility in cities, yet their impacts are difficult to assess due to the socio-technical complexity of urban mobility systems. Recent…

计算机与社会 · 计算机科学 2026-03-13 Arianna Burzacchi , Marco Pistore

Based on fluid-dynamic and many-particle (car-following) simulations of traffic flows in (urban) networks, we study the problem of coordinating incompatible traffic flows at intersections. Inspired by the observation of self-organized…

物理与社会 · 物理学 2009-11-13 Stefan Lämmer , Dirk Helbing

We investigate the dynamics of the evacuation process with multiple bottlenecks using the floor field model. To deal with this problem, we first focus on a part of the system and report its microscopic behavior. The system is controlled by…

物理与社会 · 物理学 2012-09-14 Takahiro Ezaki , Daichi Yanagisawa , Katsuhiro Nishinari

Modeling realistic pedestrian trajectories requires accounting for both social interactions and environmental context, yet most existing approaches largely emphasize social dynamics. We propose \textbf{EnvSocial-Diff}: a diffusion-based…

计算机视觉与模式识别 · 计算机科学 2026-03-26 Bingxue Zhao , Qi Zhang , Hui Huang

The Social Force Model of pedestrian dynamics is formulated in a way that a) most of its parameters do not have an immediate interpretation, b) often one single parameter has an impact on many aspects of walking behavior and c) a certain…

物理与社会 · 物理学 2018-01-03 Tobias Kretz , Jochen Lohmiller , Peter Sukennik

We focus on the problem of planning the motion of a robot in a dynamic multiagent environment such as a pedestrian scene. Enabling the robot to navigate safely and in a socially compliant fashion in such scenes requires a representation…

机器人学 · 计算机科学 2022-03-17 Allan Wang , Christoforos Mavrogiannis , Aaron Steinfeld

While much effort has been invested in studies of traffic flow as a physics problem, two emerging trends in technology have broadened the subject for new investigations. The first trend is the development of self-driving vehicles. This…

物理与社会 · 物理学 2018-03-07 Skanda Vivek , David Yanni , Peter J. Yunker , Jesse L. Silverberg

Clogging raises as the principal phenomenon during many evacuation processes of pedestrians in a panic situation. As people push to escape from danger, compression forces may increase to harming levels. Many individuals might fall down,…

物理与社会 · 物理学 2017-06-07 F. E. Cornes , G. A. Frank , C. O. Dorso