SDCAE: Stack Denoising Convolutional Autoencoder Model for Accident Risk Prediction Via Traffic Big Data

Traffic accident is considered as one of main causes for traffic congestion in cities. There are many causal factors that may give rise to traffic accidents, e.g. driver characteristics, road conditions, traffic flows and weather conditions, etc. Due to uncertain factors as well as the contingency o...

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Veröffentlicht in:	2018 Sixth International Conference on Advanced Cloud and Big Data (CBD) S. 328 - 333
Hauptverfasser:	Chen, Chao, Fan, Xiaoliang, Zheng, Chuanpan, Xiao, Lujing, Cheng, Ming, Wang, Cheng
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2018
Schlagworte:	Accidents Computer crashes convolutional autoencoder Data models Feature extraction Predictive models risk prediction Roads traffic accident Urban areas
Online-Zugang:	Volltext
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