Research on Lane Occupancy Rate Forecasting Based on the Capsule Network

Research on Lane Occupancy Rate Forecasting Based on the Capsule Network

This paper proposes a hybrid lane occupancy rate prediction model called 2LayersCapsNet, which combines the improved capsule network and convolutional neural networks (CNNs). The model uses CNNs to mine the spatial-temporal correlation characteristics of the lane occupancy rate and then uses an impr...

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Bibliographic Details
Main Authors: Ran Tian, Jiaming Bi, Qiang Zhang, Yanxing Liu
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Lane occupancy rate
forecasting
capsule network
convolutional neural network
Online Access:https://ieeexplore.ieee.org/document/9006880/

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