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Modeling pedestrian flows in train stations: The example of Lausanne railway station

Publications associées (40)

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Methodologies for understanding and improving pedestrian mobility

Michel Bierlaire, Marija Nikolic, Riccardo Scarinci, Nicholas Alan Molyneaux, Yuki Oyama, Zhengchao Wang

Pedestrian mobility is at the center of urban transportation systems. Therefore, understanding it is a necessary task to improve the mobility in cities. However, pedestrian mobility is extremely complex, and advance methods are needed to capture its dynami ...

Routledge2020

Multiclass Speed-Density Relationship for Pedestrian Traffic

Michel Bierlaire, Matthieu Marie Cochon de Lapparent, Marija Nikolic, Riccardo Scarinci

We introduce a probabilistic modeling approach for pedestrian speed density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern, we relax the hom ...

INFORMS2019

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Exploiting the full potential of pedestrian infrastructures is becoming vital in many environments which cannot be easily expanded to cope with the increasing demand. This is particularly true of train stations in many dense cities since space is limited. ...

2019

Two management strategies for improving passenger transfer experience in train stations

Michel Bierlaire, Riccardo Scarinci, Nicholas Alan Molyneaux

Exploiting the full potential of pedestrian infrastructures in order to satisfy the demand induced by public transport modes is key to achieving good level-of-service for passengers during transfers. High temporal variability in demand can lead to high con ...

2018

Learning nuisances to track pedestrians in autonomous vehicles

Alexandre Massoud Alahi, George Adaimi

Autonomous vehicles rely on an accurate perception module. One of the fundamental challenges is to efficiently track pedestrians surrounding a vehicle to anticipate risky situations. Over the past decades, researchers have formulated the tracking problem a ...

2018

Accounting for Dynamics in Pedestrian multi-class speed-density relationship

Marc-Edouard Baptiste Grégoire Schultheiss

In this project, we propose a probabilistic modeling approach to represent the speed- density relationship of pedestrian traffic. The approach is data-driven and is motivated by the presence of high scatter in the raw data I have been provided with (tracki ...

2017

The focus of the thesis is the utilization of the data collected using state-of-the-art tracking technologies for the characterization and modeling of pedestrian movements. In this context, the main objectives are the development of (i) data-driven definit ...

EPFL2017

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We introduce a modeling approach for pedestrian speed-density relationship. It is motivated by a high scatter in real data that precludes the use of traditional equilibrium relationships. To characterize the observed pattern we relax the homogeneity assump ...

2017

We propose a novel approach to pedestrian flow characterization. The definitions of density, flow and velocity existing in the literature are extended through a data-driven spatio-temporal discretization framework. The framework is based on three-dimension ...

Elsevier Science Bv2017

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Forecasts predict a strong increase of the demand of public transport facilities in the next decades, close to doubling the number of users in the "Arc lémanique" area. This increase in demand can lead to congestion and poor level-of-service inside transpo ...

2017