no code implementations • 10 Jan 2017 • Junbo Zhang, Yu Zheng, Dekang Qi, Ruiyuan Li, Xiuwen Yi, Tianrui Li
We propose a deep-learning-based approach, called ST-ResNet, to collectively forecast two types of crowd flows (i. e. inflow and outflow) in each and every region of a city.
4 code implementations • 1 Oct 2016 • Junbo Zhang, Yu Zheng, Dekang Qi
The aggregation is further combined with external factors, such as weather and day of the week, to predict the final traffic of crowds in each and every region.