An online updating method for time-varying preference learning

The rapid proliferation of smart, personal technologies has given birth to smart Transportation Demand Management (TDM) systems that can give personalized incentives to users. This personalization capacity builds on accurate modeling of user behaviors; however, in practice, a user’s behavior data is...

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Veröffentlicht in:	Transportation research. Part C, Emerging technologies Emerging technologies, 2020-12, Vol.121 (C), p.102849, Article 102849
Hauptverfasser:	Zhu, Xi, Feng, Jingshuo, Huang, Shuai, Chen, Cynthia
Format:	Artikel
Sprache:	eng
Schlagworte:	Machine learning Personalized behavior modeling Smart transportation demand management Time-varying preferences
Online-Zugang:	Volltext
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