Developing a Twitter-based traffic event detection model using deep learning architectures

Sina Dabiri, Kevin P. Heaslip

Abstract: Highlights•Tweets are mapped into numerical feature vectors using word-embedding models.•Tweets are classified into non-traffic, traffic incident, and traffic information.•Classification task is performed using convolutional and recurrent neural networks.•51,100 tweets are collected, labeled, and publicly released for future research.•Models’ superiority is demonstrated through several evaluation steps.