A novel deep ensemble based approach to detect crashes using sequential traffic data

A novel deep ensemble based approach to detect crashes using sequential traffic data

Crash is one of the leading causes of death in the United States. Real time detection of crashes plays a pivotal role in increasing safety of highways. In this study, a deep ensemble modelling approach is proposed in which we first employed three powerful deep learning techniques, Long Short-Term Me...

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Bibliographic Details
Main Authors: Homa Taghipour, Amir Bahador Parsa, Rishabh Singh Chauhan, Sybil Derrible, Abolfazl (Kouros) Mohammadian
Format: Article
Language:English
Published: Elsevier 2022-04-01
Series:IATSS Research
Subjects:
Crash detection
Long short-term memory (LSTM)
Gated recurrent unit (GRU)
Deep neural network (DNN)
Ensemble model
Online Access:http://www.sciencedirect.com/science/article/pii/S0386111221000455

Internet

http://www.sciencedirect.com/science/article/pii/S0386111221000455

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