A Traffic Congestion Prediction Model Based on Dilated-Dense Network

A Traffic Congestion Prediction Model Based on Dilated-Dense Network

When using the convolutional neural network (CNN) model to predict short-term traffic congestion, due to the convolution pooling operation of the model, part of the data for the information of the target position will be lost, resulting in the decline of the resolution of the output features and the...

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Bibliographic Details
Main Authors: SHI Min, CAI Shaowei, YI Qingming
Format: article
Language:ZH
Published: Editorial Office of Journal of Shanghai Jiao Tong University 2021
Subjects:
dilated-dense network
spatio-temporal characteristics
convolutional neural networks
short-term traffic congestion prediction
Engineering (General). Civil engineering (General)
TA1-2040
Chemical engineering
TP155-156
Naval architecture. Shipbuilding. Marine engineering
VM1-989
Online Access:https://doaj.org/article/72c08a795cb84eb6a76afa1b54d9a739
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https://doaj.org/article/72c08a795cb84eb6a76afa1b54d9a739

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