Citation

Lißner S, Huber S. Eur. Transp. Res. Rev. 2021; 13(1): e8.

Copyright

(Copyright © 2021, European Conference of Transport Research Institutes, Publisher Holtzbrinck Springer Nature Publishing Group)

DOI

10.1186/s12544-020-00462-2

PMID

unavailable

Abstract

GPS-based cycling data are increasingly available for traffic planning these days. However, the recorded data often contain more information than simply bicycle trips. GPS tracks resulting from tracking while using other modes of transport than bike or long periods at working locations while people are still tracking are only some examples. Thus, collected bicycle GPS data need to be processed adequately to use them for transportation planning.

Language: en

Keywords

Bicycle traffic planning; GPS data; Big data; Crowdsourcing; Data processing