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发表刊物：Neurocomputing

摘要：Individual driving final destination prediction supports location-based services such as personalized service recommendations, traffic navigation, and public transport dispatching. However, real-time destination prediction is challenging due to the complexity of temporal dependencies, and the strong influence of travel spatiotemporal semantics and spatial correlations. Besides temporal context, the nearby urban functionalities of traveling zones and departure regions, and the crucial positions on the road network where trajectory points located would reflect the travel intentions of drivers. H

论文类型：期刊论文

论文编号：10.1016/j.neucom.2021.01.067

文献类型：J

卷号：440

页面范围：72-88

是否译文：否

发表时间：2021-03-01

收录刊物：SCI

发布期刊链接：https://www.sciencedirect.com/science/article/pii/S092523122100134X