BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ISISLab - ECPv6.3.3//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:ISISLab
X-ORIGINAL-URL:https://www.isislab.it
X-WR-CALDESC:Eventi per ISISLab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Rome
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20190331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20191027T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Rome:20190719T110000
DTEND;TZID=Europe/Rome:20190719T120000
DTSTAMP:20260917T201152
CREATED:20190716T092707Z
LAST-MODIFIED:20190716T114930Z
UID:2453-1563534000-1563537600@www.isislab.it
SUMMARY:Seminario: "Urban Data Science: from big data to models" di Luca Pappalardo\, Università di Pisa
DESCRIPTION:Abstract: The availability of big geo-spatial mobility data in the urban environment (e.g.\, GPS traces\, mobile phone records\, geo-tagged social media posts) is a trend that will grow in the near future. In particular\, this will happen when the shift from traditional vehicles to autonomous\, self-driving\, vehicles\, will transform our society\, the economy and the environment. For this reason\, understanding and modeling urban mobility is of paramount importance for many present and future applications such as traffic forecasting and urban planning\, epidemic modeling\, and the design of new generation wireless mobile networks. During the talk I will present both the fundamental modeling principles of human mobility and artificial intelligence models applicable to specific mobility-related problems. In particular\, starting from the "physical" laws that govern human mobility\, we see how they can be exploited to address fascinating problems in urban data science\, such as the generation of realistic synthetic mobility trajectories\, and the prediction of the future locations visited by individuals.
URL:https://www.isislab.it/event/seminario-urban-data-science-from-big-data-to-models-di-luca-pappalardo/
LOCATION:Sala Seminari del Dipartimento\, II Piano\, Edificio F\, Dipartimento di Informatica\, Università di Salerno
CATEGORIES:Seminari
ATTACH;FMTTYPE=image/png:https://www.isislab.it/wp-content/uploads/2019/07/LucaPappalardo-Seminario-19-07-2019.png
END:VEVENT
END:VCALENDAR