Asymmetric Pedestrian Dynamics on a Staircase Landing from Continuous Measurements

Corbetta, Alessandro; Lee, C-M Chung-min; Muntean, Adrian; Toschi, Federico

doi:10.1007/978-3-319-33482-0_7

Cited by 14 publications

(33 citation statements)

References 14 publications

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“…In this paper we focus on trajectories by individuals moving undisturbed by peers (cf. [21,27] for an overview of other possible traffic conditions including coflows and counterflows). To select these trajectories we operate as follows.…”

Section: Appendix B: Pedestrian Trajectoriesmentioning

confidence: 99%

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Fluctuations around mean walking behaviors in diluted pedestrian flows

et al. 2017

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Understanding and modeling the dynamics of pedestrian crowds can help with designing and increasing the safety of civil facilities. A key feature of crowds is its intrinsic stochasticity, appearing even under very diluted conditions, due to the variability in individual behaviours. Individual stochasticity becomes even more important under densely crowded conditions, since it can be nonlinearly magnified and may lead to potentially dangerous collective behaviours. To understand quantitatively crowd stochasticity, we study the real-life dynamics of a large ensemble of pedestrians walking undisturbed, and we perform a statistical analysis of the fully-resolved pedestrian trajectories obtained by a year-long high-resolution measurement campaign. Our measurements have been carried out in a corridor of the Eindhoven University of Technology via a combination of Microsoft Kinect TM 3D-range sensor and automatic headtracking algorithms. The temporal homogeneity of our large database of trajectories allows us to robustly define and separate average walking behaviours from fluctuations parallel and orthogonal with respect to the average walking path. Fluctuations include rare events when individuals suddenly change their minds and invert their walking direction. Such tendency to invert direction has been poorly studied so far even if it may have important implications on the functioning and safety of facilities. We propose a novel model for the dynamics of undisturbed pedestrians, based on stochastic differential equations, that provides a good agreement with our experimental observations, including the occurrence of rare events.

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Section: Appendix B: Pedestrian Trajectoriesmentioning

confidence: 99%

“…Neglecting differences between the dynamics left to right and vice versa (cf. [27]), we merge the two classes after reversing the direction of the class right to left.…”

Section: Appendix B: Pedestrian Trajectoriesmentioning

confidence: 99%

Fluctuations around mean walking behaviors in diluted pedestrian flows

et al. 2017

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“…The research results show differences between the fundamental diagram of uni-and bidirectional pedestrian flow [43]. Furthermore, the fundamental relation for bidirectional flows depends on the relative strength of these two interacting flows [23]. As a result, no definite maximal density can be given for the case of bidirectional flows.…”

Section: Preference For Density Dependencymentioning

confidence: 98%

“…The maximal and minimal velocity depends on different external factors, e.g. on the kind of scenario, the age structure, the current density [22], or the composition of the flow [23]. In many cases, these sets of information are not available.…”

Section: Allocation Of Pedestrians' Arrival Times At the Stationsmentioning

confidence: 99%

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Oppilatio+ - A data and cognitive science based approach to analyze pedestrian flows in networks

et al. 2017

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Public transport services are a widespread and environmentally friendly option for mobility. In the majority of cases, passengers of public transport services will have to walk from a subway, train, or bus station to their desired travel destination. In an urban environment with a network of narrow streets, this can lead to crowd congestions during rush hour, due to the fact that passengers tend to arrive in waves. In order to monitor and analyze such crowding behavior, city planners, crowd managers, and organizers of public events must ascertain which routes these pedestrians will take from the respective station to their destination. The Oppilatio + approach is suitable for solving this problem. It is an easy-to-apply approach to predict way-finding behavior with a minimal set of information. The necessary data includes the schedule of incoming transport vehicles at the stations and the time-stamped count of pedestrians at the respective destinations. Under these conditions, the Oppilatio + approach is suitable for estimating the distribution of pedestrians on all possible walkways between stations and destinations. This information helps crowd control experts to recognize weak spots in the infrastructure and help event organizers to ensure an undisturbed arrival at their event. We validated our approach using two field experiments. The first one was a field study on a public event, and the second one was a case study for a large Swiss train station.

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New approaches to evacuation modelling for fire safety engineering applications

Ronchi

Corbetta

Galea

et al. 2019

Fire Safety Journal

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This paper presents the findings of the workshop "New approaches to evacuation modelling", which took place on the 11 th of June 2017 in Lund (Sweden) within the Symposium of the International Association for Fire Safety Science (IAFSS). The workshop gathered international experts in the field of fire evacuation modelling from 19 different countries and was designed to build a dialogue between the fire evacuation modelling world and experts in areas outside of fire safety engineering. The contribution to fire evacuation modelling of five topics within research disciplines outside fire safety engineering (FSE) have been discussed during the workshop, namely 1) Psychology/Human Factors, 2) Sociology, 3) Applied Mathematics, 4) Transportation, 5) Dynamic Simulation and Biomechanics. The benefits of exchanging information between these two groups are here highlighted in light of the topic areas discussed and the feedback received by the evacuation modelling community during the workshop. This included the feasibility of development/application of modelling methods based on fields other than FSE as well as a discussion on their implementation strengths and limitations. Each subject area is here briefly presented and its links to fire evacuation modelling are discussed. The feedback received during the workshop is discussed through a set of insights which might be useful for the future developments of evacuation models for fire safety engineering.

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Asymmetric Pedestrian Dynamics on a Staircase Landing from Continuous Measurements

Cited by 14 publications

References 14 publications

Fluctuations around mean walking behaviors in diluted pedestrian flows

Fluctuations around mean walking behaviors in diluted pedestrian flows

Oppilatio+ - A data and cognitive science based approach to analyze pedestrian flows in networks

New approaches to evacuation modelling for fire safety engineering applications

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