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Titel:

Predicting network flows from speeds using open data and transfer learning

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Mahajan, Vishal; Cantelmo, Guido; Rothfeld, Raoul; Antoniou, Constantinos
Abstract:
Abstract Traffic flow/volume data are commonly used to calibrate and validate traffic simulation models. However, these data are generally obtained from stationary sensors (e.g. loop detectors), which are expensive to install and maintain and cover a small number of locations in the transport network. On the other hand, Floating Car Data (FCD) are readily available at the network level, usually from a sample of vehicles. We present an indirect traffic flow estimation approach using transfer lear...     »
Zeitschriftentitel:
IET Intelligent Transport Systems
Jahr:
2023
Band / Volume:
804– 824
Heft / Issue:
17
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1049/itr2.12305
WWW:
https://ietresearch.onlinelibrary.wiley.com/doi/abs/10.1049/itr2.12305
Status:
Verlagsversion / published
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