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Memorias de investigación
Ponencias en congresos:
Model of pedestrian races as a social network
Año:2018
Áreas de investigación
  • Física química y matemáticas
Datos
Descripción
Most of the tools that register and tracks the evolution of a race consider runners as individuals. Participants in a race can upload their records, but their progress is isolated from the rest of the group. In this work, a race is studied as a network, where runners are the nodes, and they are linked when the distance between them is below some range. The network evolves with time as long as the runners' progress and the neighbors' changes depending on their velocity. A factor that has been observed during races is that the path of a runner is affected by the other runners that are around them. A slow runner can increase its path when he or she is close enough to a faster group. Alternatively, runners can be slowed down by their surroundings. Other effects can affect the path, such as the age, or the regularity. Besides popular runners, this effect has been observed in professional athletes or even in other sports.
Internacional
No
Nombre congreso
XXII Congreso de Física Estadística (FisEs'18) [https://fises18.gefenol.es/]
Tipo de participación
970
Lugar del congreso
Madrid (Spain)
Revisores
Si
ISBN o ISSN
CDP08UPM
DOI
Fecha inicio congreso
18/10/2018
Fecha fin congreso
20/10/2018
Desde la página
116
Hasta la página
116
Título de las actas
XXII Congreso de Física Estadística-FisEs'18--Libro de Resúmenes/Book of Abstracts [https://fises18.gefenol.es/media/uploads/editor/2018/11/06/libro_de_resumenes-fises18.pdf]
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Miguel Rebollo Pedruelo (UPM)
  • Autor: Javier Ricardo Galeano Prieto (UPM)
  • Autor: Juan Carlos Losada Gonzalez (UPM)
  • Autor: Javier LLuch (Universitat Politècnica de València)
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  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Ingeniería Agroforestal
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