Use of LSTM for short-term and long-term travel time prediction

Travel time prediction is an important component in intelligent transportation systems, and plays a key role in daily life. Predicting travel time for a trip is quite challenging and has been studied by many researcher. However, most of the studies focus on short term travel time prediction. In this study, LSTM (Long-Short Term Memory) neural network models are constructed to predict travel time for both long term and short term using real world data of New York city. Results of this study show that, LSTM provides satisfying results for long term travel time prediction as well as short term.