Time series behavior modeling with digital twin for Internet of Vehicles

Electric vehicle (EV) is considered eco-friendly with low carbon emission and maintenance costs. Given the current battery and charging technology, driving experience of EVs relies heavily on the availability and reachability of EV charging infrastructure. As the number of charging piles increases,...

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Veröffentlicht in:	EURASIP journal on wireless communications and networking Jg. 2019; H. 1; S. 1 - 11
Hauptverfasser:	Zhang, Tianle, Liu, Xiangtao, Luo, Zongwei, Dong, Fuqiang, Jiang, Yu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cham Springer International Publishing 16.12.2019 Springer Nature B.V SpringerOpen
Schlagworte:	Algorithms Behavior Charging scheduling Communications Engineering Computer simulation Data collection Digital twin Digital twins Driving Electric power distribution Electric vehicle Electric vehicle charging Electric vehicles Energy consumption Engineering Industrial development Information Systems Applications (incl.Internet) Infrastructure Internet of Vehicles Maintenance costs Mobility Modelling Multi-modal Sensor Data Fusion in Internet of Things Networks Queues Route selection Signal,Image and Speech Processing Stress concentration Time series Traffic planning Mobility Electric vehicle Digital twin Charging scheduling Time series Internet of Vehicles
ISSN:	1687-1499, 1687-1472, 1687-1499
Online-Zugang:	Volltext
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