Zone piétonne

Résumé

thumb|La rue du Gros-Horloge à Rouen, première voie piétonne de France. thumb|Rue du Petit-Champlain à Québec. Une zone piétonne, zone piétonnière, zone pour piétons, centre piétonnier, plateau piétonnier ou secteur piétonnier d'une ville est un ensemble de rues et de ruelles où la circulation est réservée aux piétons et souvent également aux cyclistes. Cet ensemble de voies dans lequel la circulation automobile, antérieurement autorisée, a été interdite et la chaussée entièrement réaménagée pour les usages piétonniers voire cyclistes, est caractérisé par des réalisations urbanistiques particulières (élargissement ou disparition des trottoirs, mise en place d'un pavage ou dallage, d'un mobilier urbain spécifique , de plantations, aménagements pour des animations commerciales et festives, etc.). Ce type d'artère est en général caractérisée par la présence de nombreux commerces. Le développement de zones piétonnes résulte d'un mouvement d'urbanisme, la piétonnisation ou piétonisation,

Source officielle

https://fr.wikipedia.org/wiki/Zone_pi%C3%A9tonne

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Séances de cours associées (6)

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Chargement

Pedestrian Destinations in Paléo Music Festival from Bluetooth Traces

Elisaveta Kondratieva

Can we guess the destinations of attendees in a music festival from Bluetooth traces collected by 10 people with smartphones used as antennas? This project analyzes an existing dataset of Bluetooth traces from Paléo music festival in Nyon, Switzerland. The goal of the project is to follow Paléo festival attendees using collected Bluetooth traces and analyze specifications of the collected data in terms of precision and results, to predict attendees behaviour and crowd movement. The data was collected on July 24th, 2010 by ten agents scanning for visible Bluetooth devices. The methodology for tracing Paléo festival attendees is a Bayesian approach derived by Danalet et al. [2012].

2013

Chargement

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The slogan “robots will pervade our environment” has become a reality. Drones and ground robots are used for commercial purposes while semi-autonomous driving systems are standard accessories to traditional cars. However, while our eyes have been riveted on dangers and accidents arising from drones falling and autonomous cars’ crashing, much less attention has been ported to dangers arising from the imminent arrival of robots that share the floor with pedestrians and will mix with human crowds. These robots range from semi or autonomous mobile platforms designed for providing several kinds of service, such as assistant, patrolling, tour-guide, delivery, human transportation, etc. We highlight and discuss potential sources of injury emerging from contacts of robots with pedestrians through a set of case studies. We look specifically at dangers deriving from robots moving in dense crowds. In such situations, contact will not only be unavoidable, but may be desirable to ensure that the robot moves with the flow. As an outlook toward the future, we also offer some thoughts on the psychological risks, beyond the physical hazards, arising from the robot’s appearance and behaviour. We also advocate for new policies to regulate mobile robots traffic and enforce proper end user’s training.

2021

Chargement

Physical Safety in Collisions Between Robots and Pedestrians

Aude Billard, David Julian Gonon, Diego Felipe Paez Granados, Pericle Salvini

The widespread deployment of mobile service robots in public environments and the growing use of autonomy as control modality will increase the exposure to hazards for people simply sharing the robot floor. The need to ensure safety becomes an ethical and legal obligation for designers. However, current safety requirements are mostly focused on the end-users of robot services, while pedestrians are often not addressed in safety standard requirements. In this paper, we propose a preliminary method for assessing robot safety with respect to collisions with bystanders. Consisting of three main phases: (1) identification of collision contacts points; (2) estimation of collision injuries; (3) design and control recommendations. We evaluate the robot Qolo - a person carrier robot as an example by simulating collisions with walking pedestrian models, using motion capture and body shape data of a male human adult, and a child. We present results of a simulation comparing multiple post-collision reactions and discuss further work needed for creating a framework on robot safety requirements that address all vulnerable populations.

2020

Chargement