Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Mattia Magi

Datos Biográficos

ID9968401
NOMBREMattia Magi
NOMBRESMattia
APELLIDOMagi
FIRMAMÄGI M
AFILIACIONESEni (Italy)
VERIFICADONo
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data

    Open Access•Joerg Schweizer, Cristian Poliziani et al.•ARTICLE•ISPRS International Journal of…•2021

    A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as …

Sin obras prominentes en esta página.

  • Building a Large-Scale Micro-Simulation Transport Scenario Using Big Data

    Open Access•Joerg Schweizer, Cristian Poliziani et al.•ARTICLE•ISPRS International Journal of…•2021

    A large-scale agent-based microsimulation scenario including the transport modes car, bus, bicycle, scooter, and pedestrian, is built and validated for the city of Bologna (Italy) during the morning peak hour. Large-scale microsimulations enable the evaluation of city-wide effects of novel and complex transport technologies and services, such as intelligent traffic lights or shared autonomous vehicles. Large-scale microsimulations can be seen as …

Big data (1 obras) · Computer Science (1 obras) · Data mining (1 obras) · Engineering (1 obras) · Geography (1 obras) · Global Positioning System (1 obras) · Microsimulation (1 obras) · Pedestrian (1 obras) · Simulation (1 obras) · Software (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae