City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN

City-Wide Traffic Congestion Prediction Based on CNN, LSTM and Transpose CNN

Traffic congestion is a significant problem faced by large and growing cities that hurt the economy, commuters, and the environment. Forecasting the congestion level of a road network timely can prevent its formation and increase the efficiency and capacity of the road network. However, despite its...

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Bibliographic Details
Main Authors: Navin Ranjan, Sovit Bhandari, Hong Ping Zhao, Hoon Kim, Pervez Khan
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
long short-term memory
partially convolutional neural network
spatiotemporal feature
traffic congestion forecasting
transport network
Online Access:https://ieeexplore.ieee.org/document/9082667/

Internet

https://ieeexplore.ieee.org/document/9082667/

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