Spatiotemporal Traffic Flow Prediction with KNN and LSTM

• Published in: Journal of advanced transportation Vol. 2019; no. 2019; pp. 1 - 10
• Main Authors: Zhang, Shengrui, Yang, Yu, Li, Danyang, Luo, Xianglong
• Format: Journal Article
• Language: English
• Published: Cairo, Egypt Hindawi Publishing Corporation 01.01.2019; Hindawi; John Wiley & Sons, Inc; Wiley
• Subjects: Accuracy; Analysis; Autoregressive models; Belief networks; Data centers; Deep learning; Intelligent transportation systems; Long short-term memory; Neural networks; Nonparametric statistics; Performance evaluation; Prediction models; Rankings; Regression analysis; Sensors; Stations; Statistical analysis; Support vector machines; Time series; Traffic congestion; Traffic control; Traffic flow; Traffic management; Transportation; Transportation networks; Weighting methods; Trinidad and Tobago; China

The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation Systems. Accurate prediction result is the precondition of traffic guidance, management, and control. To improve the prediction accuracy, a spatiotemporal traffic flow prediction method is proposed combined wi...