Findings from University of Arizona Yields New Data on Information Systems (Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Current study results on Information Technology - Information Systems have been published. According to news reporting originating from Tucson, Arizona, by NewsRx correspondents, research stated, “Timely and accurate prediction of human movement in urban areas offers instructive insights into transportation management, public safety, and location-based services, to name a few. Yet, modeling urban mobility is challenging and complex because of the spatiotemporal dynamics of movement behavior and the influence of exogenous factors such as weather, holidays, and local events.”