Big Data: 3 Beispiele zur Analyse urbaner Mobilität

AirSage – a revolutionary solution for transportation planners

AIRSAGE PIONEERED THE TRANSFORMATION of wireless network signaling data into powerful mobility information soon after their founding in 2000. Early research led to unique developments that enable AirSage to provide more accurate location information, ubiquitous population analytics, and time-of-day movement patterns of people.

Source:
http://www.airsage.com/
Placemeter

https://youtu.be/ty_5nZW4yaY

Placemeter’s proprietary algorithm was developed by a highly qualified team of computer vision engineers. It can compute volume, direction and speed data for moving objects, such as pedestrians, cars or bikes.
Placemeter quantifies the movement of modern cities, at scale. Placemeter will transform your live video into structured data about pedestrian, bike, and vehicle traffic.

Source:
https://www.placemeter.com/
StreetLight Data

StreetLightData InSight, is an online application which provides empirical, dynamic data about the visitors to nearly any site in the U.S. in just a few seconds. This enables YOU to start making informed decisions with the use of Big Data.
Looking more closely at the way people move through cities. StreetLight Data uses anonymized telco archival data to figure out how people move and then pinpoint where businesses should follow them.

Source:
http://www.streetlightdata.com/