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A Short-Term Traffic Flow Prediction Model Based on an Improved Gate Recurrent Unit Neural Network

IEEE transactions on intelligent transportation systems (Print), 2021
With the increasing demand for intelligent transportation systems, short-term traffic flow prediction has become an important research direction. The memory unit of a Long Short-Term Memory (LSTM) neural network can store data characteristics over a ...
Wanneng Shu, Ken Cai, N. Xiong
semanticscholar   +1 more source

Intelligent Traffic Accident Prediction Model for Internet of Vehicles With Deep Learning Approach

IEEE transactions on intelligent transportation systems (Print), 2022
In this study, a high accident risk prediction model is developed to analyze traffic accident data, and identify priority intersections for improvement.
D. Lin   +3 more
semanticscholar   +1 more source

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