Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data

Truck Traffic Flow Prediction Based on LSTM and GRU Methods With Sampled GPS Data

Given the enormous traffic issues, such as congestion and crashes, resulting from the conflicts between trucks and passenger cars, an accurate and reliable prediction of truck traffic flow is needed to enhance the traffic flow efficiency and safety in the mixed traffic condition. Enabled by emerging...

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Bibliographic Details
Main Authors: Shengyou Wang, Jin Zhao, Chunfu Shao, Chunjiao Dong, Chaoying Yin
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Data expansion
GRU method
LSTM method
sampled GPS data
truck traffic flow production
Online Access:https://ieeexplore.ieee.org/document/9261497/

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