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@ARTICLE{Herty:989533,
author = {Herty, Michael and Kolbe, Niklas},
title = {{D}ata-driven models for traffic flow at junctions},
journal = {Mathematical methods in the applied sciences},
volume = {47},
number = {11},
issn = {1099-1476},
address = {Chichester, West Sussex},
publisher = {Wiley},
reportid = {RWTH-2024-06828},
pages = {8946-8968},
year = {2024},
cin = {114610 / 110000 / 111810},
ddc = {510},
cid = {$I:(DE-82)114620_20140620$ / $I:(DE-82)110000_20140620$ /
$I:(DE-82)111810_20140620$},
pnm = {OAPKF - Open-Access-Publikation mit Unterstützung der RWTH
Aachen University (021000-OAPKF) / DFG project 424334423 -
Erforschung und experimentelle Umsetzung eines
eigenschaftsgeregelten Reckschmiedeprozesses (424334423) /
GRK 2326 - GRK 2326: Energie, Entropie und Dissipative
Dynamik (320021702) / DFG project 462234017 - Meanfield
Theorie zur Analysis von Deep Learning Methoden (462234017)
/ DFG project 461365406 - Neue Ansätze der
Verkehrsmodellierung unter Berücksichtigung komplexer
Geometrien und Daten (461365406) / DFG project 402694744 -
SPP 2183: Eigenschaftsgeregelte Umformprozesse (402694744) /
DFG project 441826958 - SPP 2298: Theoretische Grundlagen
von Deep Learning (441826958)},
pid = {G:(DE-82)021000-OAPKF / G:(GEPRIS)424334423 /
G:(GEPRIS)320021702 / G:(GEPRIS)462234017 /
G:(GEPRIS)461365406 / G:(GEPRIS)402694744 /
G:(GEPRIS)441826958},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001198562400001},
doi = {10.1002/mma.10053},
url = {https://publications.rwth-aachen.de/record/989533},
}
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