Big Data in Bicycle Traffic

Big Data in Bicycle Traffic

For cycling to be attractive, the infrastructure must be of high quality. Due to the high level of resources required to record it locally, the available data on the volume of cycling traffic has to date been patchy. At the moment, the most reliable and usable numbers seem to be derived from permane...

Full description

Bibliographic Details
Main Authors: Francke, Angela, Lißner, Sven
Other Authors: Technische Universität Dresden, Fakultät Verkehrswissenschaften 'Friedrich List'
Format: Others
Language:English
Published: Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden 2018
Subjects:
GPS-Daten
Radverkehr
Verhaltensdaten
GPS
Cycling
ddc:380
rvk:ZO 4340
Dresden
Radfahrer
Radfahrerverkehr
Verkehrsverhalten
Datensammlung
Smarthphone
Orientierung
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233278
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233278
http://www.qucosa.de/fileadmin/data/qucosa/documents/23327/Francke_Li%C3%9Fner_2017_Big_Data_in_Bicycle_Traffic.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233278
http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-233278
http://www.qucosa.de/fileadmin/data/qucosa/documents/23327/Francke_Li%C3%9Fner_2017_Big_Data_in_Bicycle_Traffic.pdf

Similar Items