Long short-term memory neural network for traffic speed prediction using remote microwave sensor data

• Published in: Transportation research. Part C, Emerging technologies Vol. 54; pp. 187 - 197
• Main Authors: Ma, Xiaolei, Tao, Zhimin, Wang, Yinhai, Yu, Haiyang, Wang, Yunpeng
• Format: Journal Article
• Language: English
• Published: Elsevier India Pvt Ltd 01.05.2015
• Subjects: Algorithms; Detectors; Long short-term neural network; Mathematical models; Neural networks; Nonlinear dynamics; Remote microwave detector data; Time lag; Traffic engineering; Traffic flow; Traffic speed prediction; Traffic speed prediction; Long short-term neural network; Remote microwave detector data; Neural networks

•A Long Short-Term Memory Neural Network (LSTM) is developed for travel speed prediction.•The LSTM NN can capture the long-term temporal dependency for time series.•The LSTM NN can automatically determine the optimal time window.•A comparative study suggests that the LSTM NN receives the best perfor...