A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf
.
A Novel Spatio-Temporal Model for City-Scale Traffic Speed Prediction
2019
IEEE Access
City-scale traffic speed prediction provides significant data foundation for the intelligent transportation system, which enriches commuters with up-to-date information about traffic condition. However, predicting on-road vehicle speed accurately is challenging, as the speed of the vehicle on the urban road is affected by various types of factors. These factors can be categorized into three main aspects, which are temporal, spatial, and other latent information. In this paper, we propose a
doi:10.1109/access.2019.2902185
fatcat:u3y3fgyci5aj3h5zhk2xa77f2y