A macroscopic loading model for time-varying pedestrian flows in public walking areas

Hänseler, Flurin; Bierlaire, Michel; Farooq, Bilal; Mühlematter, Thomas

doi:10.1016/j.trb.2014.08.003

Cited by 69 publications

(46 citation statements)

References 41 publications

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“…The approach demonstrates good results in evacuation situations. The work by Hänseler et al [2014] combines cell potential with a logit-based path choice and is able to reproduce behaviors from organized situations, such as queueing, or others that reflect impatience, such as pushing up.…”

Section: Mechanics Based Modelsmentioning

confidence: 99%

Modeling, Evaluation, and Scale on Artificial Pedestrians

et al. 2017

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Modeling pedestrian dynamics and their implementation in a computer are challenging and important issues in the knowledge areas of transportation and computer simulation. The aim of this paper is to provide a bibliographic outlook so that the reader could have a quick access to the most relevant works related with this problem. We have used three main axes to organise the paper contents: pedestrian models, validation techniques and multiscale approaches. The backbone of the paper is the classification of existing pedestrian models; we have organised the works in the literature under five categories, according to the techniques used for implementing the operational level in each pedestrian model. Then, the main existing validation methods, oriented to evaluate the behavioural quality of the simulation systems, are reviewed. Furthermore, we review the key issues that arise when facing multiscale pedestrian modeling, where we firstly focus on the behavioural scale (combinations of micro and macro pedestrian models) and secondly, on the scale size (from individuals to crowds). The paper begins introducing the main characteristics of walking dynamics and its analysis tools and concludes with a discussion about the contributions that different knowledge fields can do in a near future to this exciting area.

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Section: Mechanics Based Modelsmentioning

confidence: 99%

Modeling, Evaluation, and Scale on Artificial Pedestrians

et al. 2017

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“…A large number of models is available in the literature as well (e.g. Løvås, 1994;Helbing and Molnár, 1995;Blue and Adler, 2001;Hughes, 2002;Antonini et al, 2006;Hänseler et al, 2014). To represent heterogeneity among pedestrians, route choice and network loading are usually expressed by means of probability distributions.…”

Section: Assignment Modelmentioning

confidence: 99%

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Hänseler

Molyneaux

Bierlaire

2017

Transportation Science

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1We present a framework for estimating pedestrian demand within a train station. It takes into account ridership data, and various direct and indirect indicators of demand. Such indicators may include link flow counts, density measurements, survey data, historical or other information. The problem is considered in discrete time and at the aggregate level, i.e., for groups of pedestrians associated with the same origin-destination pair and departure time interval. The formulation is probabilistic, allowing to consider the stochasticity of demand. A key element of the framework is the use of the train timetable to better capture demand peaks. A case study analysis of a Swiss train station underlines its practical applicability. Compared to a classical estimator that ignores the notion of a train timetable, the gain in accuracy in terms of RMSE is between 20% and 50%. More importantly, the incorporation of the train schedule allows for prediction when little or no data besides the timetable and ridership information is available.

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“…A good qualitative agreement is found. Further analysis shows that this also holds for route-specific predictions of walking times, and in case of congestion (different case study, see Hänseler et al, 2014a). The cell-based pedestrian traffic assignment model can thus be used to accurately predict the level-of-service in walking facilities of a train station.…”

Section: Estimation Of Origin-destination Demandmentioning

confidence: 82%

“…For the purposes considered in this work, i.e., for an assessment of the level-of-service that is sufficient for dimensioning, the estimates are again considered accurate. Moreover, a comparison to the social force model, which is the state-of-the-art in microscopic pedestrian flow modeling, shows that the performance of the proposed macroscopic model is equivalent or superior (Helbing and Molnár, 1995;Hänseler et al, 2014a). The highest pedestrian densities are observed between 7:41 and 7:43, when various trains arrive.…”

Section: Estimation Of Origin-destination Demandmentioning

confidence: 92%

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Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study

Hänseler

Bierlaire

Scarinci

2016

Transportation Research Part A: Policy and Practice

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A framework for assessing the usage and level-of-service of rail access facilities is presented. It consists of two parts. A dynamic demand estimator allows to obtain time-dependent origin-destination flows within pedestrian facilities. Using that demand, a traffic assignment model describes the propagation of pedestrians through the station, providing an estimate of prevalent traffic conditions in terms of flow, travel times, speed and density. The framework is discussed at the example of Lausanne railway station. For this train station, a rich set of data sources including travel surveys, pedestrian counts and trajectories has been collected in collaboration with the Swiss Federal Railways. Results show a good performance of the framework. Moreover, to underline its practical applicability, a six-step planning guideline is presented that can be used to design and optimize rail access facilities for new or existing train stations.

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A macroscopic loading model for time-varying pedestrian flows in public walking areas

Cited by 69 publications

References 41 publications

Modeling, Evaluation, and Scale on Artificial Pedestrians

Modeling, Evaluation, and Scale on Artificial Pedestrians

Estimation of Pedestrian Origin-Destination Demand in Train Stations

Assessing the usage and level-of-service of pedestrian facilities in train stations: A Swiss case study

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