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Pedestrian typologies - a sociological look on urban walkways

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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

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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

The impact of counter-flow on pedestrian walking times

Michel Bierlaire, Riccardo Scarinci, Nicholas Alan Molyneaux

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

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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

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

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

Many policies are spatially targeted: they attempt to foster or incent policy actions in areas meeting specific criteria. The identification and delineation of the spatial reality of interest is a major challenge to spatially targeted policies. In many cas ...

EPFL2017