Zobrazeno 1 - 10
of 31
pro vyhledávání: '"Jean-Michel Auberlet"'
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 93:309-325
Autor:
Anne-Hélène Olivier, Jean-Michel Auberlet, Angélique Montuwy, Marie-Axelle Granié, Cléo Deroo, Béatrice Degraeve
Publikováno v:
SOFPEL 2019, 26ème congrès de la Société Francophone Posture, Équilibre et Locomotion
SOFPEL 2019-26ème congrès de la Société Francophone Posture, Équilibre et Locomotion
SOFPEL 2019-26ème congrès de la Société Francophone Posture, Équilibre et Locomotion, Dec 2019, Montréal, Canada
SOFPEL 2019-26ème congrès de la Société Francophone Posture, Équilibre et Locomotion
SOFPEL 2019-26ème congrès de la Société Francophone Posture, Équilibre et Locomotion, Dec 2019, Montréal, Canada
National audience; Introduction Héritage d'un centre-ville historique ou résultat d'aménagements ne considérant que trop peu les déplacements piétonniers, les trottoirs étroits sont des lieux d'interactions fortes entre piétons. Ces interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25be154d084409675278ab5d34553310
https://hal.inria.fr/hal-02373619
https://hal.inria.fr/hal-02373619
Publikováno v:
CASA
In this paper, we propose a concept to allow asymmetrical pedestrian interactions in simulation, based on ORCA model (Optimal Reciprocal Collision Avoidance). To reach our goal, we redefined two parameters of the model: the Time Horizon (TH) for anti
Autor:
Samuel Lemercier, Jean-Michel Auberlet
Publikováno v:
Computer Animation and Virtual Worlds. 27:24-34
While collision avoidance has been the most active topic in pedestrian simulation, the modelling of other kinds of behaviours appears to be essential for better realism. Thus higher cognitive levels of perception and behaviour improve simulation qual
Autor:
Florence Rosey, Jean-Michel Auberlet
Publikováno v:
Safety Science
Safety Science, Elsevier, 2012, 50 (9), pp. 1818-1828. ⟨10.1016/j.ssci.2012.04.003⟩
Safety Science, Elsevier, 2012, 50 (9), pp. 1818-1828. ⟨10.1016/j.ssci.2012.04.003⟩
The analysis of the variability of vehicle trajectories can reveal important information about how situational constraints influence drivers' behaviour (e.g., lateral position and/or speed). Variability in the lateral position using a driving simulat
Autor:
Karim Ismail, Ali El Husseini, Tarek Sayed, Jean-Michel Auberlet, Catherine Morency, Nicolas Saunier
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2264:138-147
An emphasis on active modes of transportation, that is, walking and cycling, has recently been renewed amid concerns for the environment and public health. However, the focus of research and practice that these modes have traditionally received is se
Publikováno v:
Recherche - Transports - Sécurité. 28:265-279
La plupart des modeles de simulation microscopique de pietons ne traitent pas les interactions pietons-vehicules. Ces interactions sont pourtant essentielles lors de la traversee de rue par les pietons, situation qui concentre des enjeux d'amenagemen
Publikováno v:
Recherche - Transports - Sécurité. 28:185-194
Parallelement au developpement de modeles de simulation de trafic, dits mathematiques, qui decrivent le trafic de maniere statistique, l'INRETS mene depuis plus de quinze ans des recherches sur la simulation du trafic routier fondee sur le comporteme
Publikováno v:
Accident Analysis & Prevention. 40:1513-1523
Approximately 48% of all fatal collisions in Europe are classified as single-vehicle run-off-road or head-on collisions. These crashes relate to trajectory control (road departure) and represent a safety challenge. In France, single-vehicle run-off-r
Behaviour based on decision matrices for a coordination between agents in a urban traffic simulation
Publikováno v:
Applied Intelligence
Applied Intelligence, Springer Verlag (Germany), 2008, 28 (2), pp.121-138. ⟨10.1007/s10489-007-0045-3⟩
Applied Intelligence, Springer Verlag (Germany), 2008, 28 (2), pp.121-138. ⟨10.1007/s10489-007-0045-3⟩
International audience; This paper describes a multi-agent coordination mechanism applied to intersection simulation situations. In a goal of urban traffic simulation, we must consider the dynamic interactions between autonomous vehicles. The field o