Agent-based simulation of collective cooperation: from experiment to model

Kleinmeier, Benedikt; Köster, Gerta; Drury, John

doi:10.1098/rsif.2020.0396

Cited by 14 publications

(5 citation statements)

References 44 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this, the Optimal Steps Model is a classic model of pedestrian dynamics. For details, we refer to [ 62 ].…”

Section: Methodsmentioning

confidence: 99%

Guiding crowds when facing limited compliance: Simulating strategies

Mayr

Köster²

2022

PLoS ONE

Self Cite

View full text Add to dashboard Cite

At traffic hubs, it is important to avoid congestion of pedestrian streams to ensure safety and a good level of service. This presents a challenge, since distributing crowds on different routes is much more difficult than opening valves to, for example, regulate fluid flow. Humans may or may not comply with re-directions suggested to them typically with the help of signage, loudspeakers, apps, or by staff. This remains true, even if they perceive and understand the suggestions. Yet, simulation studies so far have neglected the influence of compliance. In view of this, we complement a state-of-the-art model of crowd motion and crowd behavior, so that we can vary the compliance rate. We consider an abstracted scenario that is inspired by a metro station in the city of Munich, where traffic regulators wish to make some passengers abandon the obviously shortest route so that the flow evens out. We investigate the effect of compliance for two very simple guiding strategies. In the first strategy, we alternate routes. In the second strategy, we recommend the path with the lowest crowd density. We observe that, in both cases, it suffices to reroute a small fraction of the crowd to reduce travel times. But we also find that taking densities into account is much more efficient when facing low compliance rates.

show abstract

“…In this, the Optimal Steps Model is a classic model of pedestrian dynamics. For details, we refer to [ 62 ].…”

Section: Methodsmentioning

confidence: 99%

Guiding crowds when facing limited compliance: Simulating strategies

Mayr

Köster²

2022

PLoS ONE

Self Cite

View full text Add to dashboard Cite

show abstract

“…In this Letter, we argue that, even at the operational level, crowds in some dailylife circumstances display signs of anticipation that may elude the foregoing shortsighted models ; this will be exemplified by the recently studied response of a static crowd when crossed by an 'intruder' [15,16]. We purport to show that a minimal game theoretical approach, made tractable thanks to an elegant analogy between its mean-field formulation [17][18][19] and Schrödinger's equation [20,21], can replicate the empirical observations for this example case, provided that it accounts for the anticipation of future costs.…”

Section: Introductionmentioning

confidence: 91%

Pedestrians in static crowds are not grains, but game players

Bonnemain¹,

Butano²,

Bonnet³

et al. 2022

Preprint

View full text Add to dashboard Cite

The short-term ('operational') dynamics of pedestrian crowds are generally thought to involve no anticipation, except perhaps the avoidance of the most imminent collisions. We show that current models rooted in this belief fail to reproduce essential features experimentally observed when a static crowd is crossed by an intruder. We identify the missing ingredient as the pedestrians' ability to plan ahead far enough beyond the next interaction, which explains why instead of walking away from the intruder they accept to temporarily move transversely towards denser regions on the intruder's sides. On this basis, a minimal model based on mean-field game theory proves remarkably successful in capturing the experimental observa-1

show abstract

“…Several spatio-temporal scales, such as "local" and "global" spatial scales and "instant" and "short term" temporal scales, have been considered in the existing research. These studies believe that individuals prefer observing the local interactions with adjacent crowds, obstacles, and the environment to avoid collisions and their global distribution to obtain feasible routes [29]. Furthermore, the individual spatio-temporal cognitive processes are generally treated as a sequence of independent fragments of the "instant" scale, which assumes present situations greatly impact the route choice, and it has also been confirmed that the effect of the "short term" is that individual current decisions are related to the episodic memory in the near past [28].…”

Section: Multiple Spatio-temporal Scales' Characteristicsmentioning

confidence: 99%

A Spatio-Temporal Cognitive Framework for Individual Route Choice in Outdoor Evacuation Scenarios

Gao

Fang

et al. 2022

IJGI

View full text Add to dashboard Cite

Route choice is a complex issue in simulating individual behaviors and reproducing collective phenomena during evacuations. A growing concern has been given to the individual cognitive mechanism to investigate how routing decisions are made in specific situations. However, the essential role of multiple spatio-temporal scales has not been completely considered in the current cognitive frameworks, which leads to the inaccuracy of cognition representation in evacuation decisions. This study proposes a novel spatio-temporal cognitive framework integrated with multiple spatio-temporal scales for individual route choice. First, a complete spatio-temporal cognitive mechanism is constructed to depict the individual evacuation cognition process. Second, a spatio-temporal route choice strategy that emerges from agent-based simulation and extends into the spatio-temporal potential field is designed to represent the overall time-varying cost along routes in individual subjective estimation. Finally, a spatio-temporal A* algorithm is developed for individual optimal route planning in complex outdoor evacuation scenarios. The experimental results show that the proposed framework outperformed the conventional potential field model in evacuation performance, in both objective crowd evacuation evaluation metrics and individual subjectively estimated evacuation cost in cognition, and may provide more insights on crowd evacuation management and guidance.

show abstract

Agent-based simulation of collective cooperation: from experiment to model

Cited by 14 publications

References 44 publications

Guiding crowds when facing limited compliance: Simulating strategies

Guiding crowds when facing limited compliance: Simulating strategies

Pedestrians in static crowds are not grains, but game players

A Spatio-Temporal Cognitive Framework for Individual Route Choice in Outdoor Evacuation Scenarios

Contact Info

Product

Resources

About