Spatio-Temporal Cab Demand Forecasting using Hybrid LSTM-CNN Models
The research is aimed at designing and implementing an intelligent cab demand forecasting model that utilizes the methods of Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) models so that future ride demand can be accurately forecasted in an urban environment. Two groups were studied in this compar...