Intersense: An XGBoost model for traffic regulator identification at intersections through crowdsourced GPS data

Digital maps of the transportation network are the foundation of future mobility solutions. Autonomous and connected vehicles rely on real-time, at-scale updating of the environment in which they operate. Successful operation in a hybrid environment, where human and machine intelligence coexist, req...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Emerging technologies, 2023-06, Vol.151 (C), p.104112, Article 104112
Hauptverfasser:	Vlachogiannis, Dimitris M., Moura, Scott, Macfarlane, Jane
Format:	Artikel
Sprache:	eng
Schlagworte:	Digital maps Driving behavior GPS data Traffic regulator identification XGBoost
Online-Zugang:	Volltext
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