TransETA: transformer networks for estimated time of arrival with local congestion representation

Estimated time of arrival (ETA) is an estimate of the vehicle travel time from the origin to destination in the roadworks. From the perspective of travel planning or resource allocation, accurate ETA is significantly important. In recent years, deep learning-based methods represented by recurrent ne...

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Veröffentlicht in:Applied intelligence (Dordrecht, Netherlands) Netherlands), 2023-12, Vol.53 (24), p.30384-30399
Hauptverfasser: Lin, Shu, Xu, Yanyan, Zhao, Shengjian, Wang, Yibing, Xu, Jungang
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Sprache:eng
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