Original paper

A Deep Learning Based Model for Driving Risk Assessment

Published: Jan 1, 2019
Abstract
In this paper a novel multilayer model is proposed for assessing driving risk. Studying aggressive behavior via massive driving data is essential for protecting road traffic safety and reducing losses of human life and property in smart city context. In particular, identifying aggressive behavior and driving risk are multi-factors combined evaluation process, which must be processed with time and environment. For instance, improper time and...
Paper Details
Title
A Deep Learning Based Model for Driving Risk Assessment
Published Date
Jan 1, 2019
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