Urban Origin–Destination Travel Time Estimation Using K-Nearest-Neighbor-Based Methods
Felipe Lagos,
Sebastián Moreno,
Wilfredo F. Yushimito
et al.
Abstract:Improving the estimation of origin–destination (O-D) travel times poses a formidable challenge due to the intricate nature of transportation dynamics. Current deep learning models often require an overwhelming amount of data, both in terms of data points and variables, thereby limiting their applicability. Furthermore, there is a scarcity of models capable of predicting travel times with basic trip information such as origin, destination, and starting time. This paper introduces novel models rooted in the k-ne… Show more
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