Pedestrian Dynamics: From Empirical Results to Modeling

Schadschneider, Andreas; Chraibi, Mohcine; Seyfried, Armin; Tordeux, Antoine; Zhang, Jun

doi:10.1007/978-3-030-05129-7_4

Cited by 40 publications

(20 citation statements)

References 135 publications

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“…Figure 3: Simulated trajectories for different densities (n = 25, 50, 75 pedestrians, L = 25 m) and jam initial conditions. Top panels: Stochastic model defined by (4). Bottom panels: Unstable deterministic model from [44].…”

Section: Numerical Experimentsmentioning

confidence: 99%

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Stop-and-go waves induced by correlated noise in pedestrian models without inertia

Tordeux

Schadschneider

Lassarre³

2020

Journal of Traffic and Transportation Engineering (English Edit

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Stop-and-go waves are commonly observed in traffic and pedestrian flows. In most traffic models they occur through a phase transition after fine tuning of parameters when the model has unstable homogeneous solutions. Inertia effects are believed to play an important role in this mechanism. Here, we present a novel explanation for stop-and-go waves based on stochastic effects in the absence of inertia. The introduction of specific coloured noises in a stable microscopic first order model allows to describe realistic stop-and-go behaviour without requiring instabilities or phase transitions. We apply the approach to pedestrian singlefile motion and compare simulation results to real pedestrian trajectories. Plausible values for the model parameters are discussed.

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Section: Numerical Experimentsmentioning

confidence: 99%

“…As one of the characteristic collective phenomena in any kind of traffic system, stop-and-go waves have attracted attention for a long time now (see e.g. [1,2,3,4,5] for reviews). Generically, congested flows show self-organisation in the form of waves of slow and fast traffic instead of streaming homogeneously.…”

Section: Introductionmentioning

confidence: 99%

Stop-and-go waves induced by correlated noise in pedestrian models without inertia

Tordeux

Schadschneider

Lassarre³

2020

Journal of Traffic and Transportation Engineering (English Edit

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“…Both types of simulations are critically analyzed within the general framework of crisis situations. Focusing on empirical data and model validation the following research contributions should be indicated [4,5] referring to the specific features of the velocity and flow diagrams. Section 2 presents the main achievement of this paper, namely simulations related to two specific case studies.…”

Section: Plan and Aims Of The Papermentioning

confidence: 99%

Particle Methods Simulations by Kinetic Theory Models of Human Crowds Accounting for Stress Conditions

Ełaiw

Al‐Turki

2019

Symmetry

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This paper tackles the problem of simulating the dynamics of human crowds in high density conditions on venues which include internal obstacles and in the interaction between two crowd streams moving in two opposite directions. The role of stress condition is taken into account as simulations aim at providing a support to crisis managers in charge of reducing the risk of incidents. The rationale of the modeling approach is that kinetic theory approach, where individual interactions, which might be nonlinearly additive, non symmetric, and non nonlocal, lead to collective behaviors to be examined towards safety problems. Author Contributions: Conceptualization, A.E. and Y.A.-T.; methodology, A.E.; formal analysis, Y.A.-T.; investigation, A.E.; writing original draft preparation, Y.A.-T.; writing review and editing, A.E. and Y.A.-T.; project administration, A.E. All authors have read and agreed to the published version of the manuscript.

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“…Over the years, model development has given rise to many different modelling approaches that can be roughly classified considering their fundamental properties (see e.g. [1,2]). For now, we will focus on microscopic models that describe the individual behaviour and interaction of particles that represent the pedestrians.…”

Section: Introductionmentioning

confidence: 99%

Concept of a Decision-Based Pedestrian Model

Krüchten

Schadschneider

2020

Coll Dyn

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We develop a decision-based model for pedestrian dynamics which is an extension of the Stochastic Headway Distance Velocity (SHDV) model for single-file motion to two dimensions. The model is discrete in time, but continuous in space. It combines perception, anticipation and decision-making with the simplicity and stochasticity that are characteristic for cellular automaton models. The basic concept is discussed and preliminary results show that the model yield realistic trajectories and fundamental diagrams.

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Pedestrian Dynamics: From Empirical Results to Modeling

Cited by 40 publications

References 135 publications

Stop-and-go waves induced by correlated noise in pedestrian models without inertia

Stop-and-go waves induced by correlated noise in pedestrian models without inertia

Particle Methods Simulations by Kinetic Theory Models of Human Crowds Accounting for Stress Conditions

Concept of a Decision-Based Pedestrian Model

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