no code implementations • 17 Sep 2021 • Mohammadjavad Javadinasr, Amir Bahador Parsa, Abolfazl, Mohammadian
In detail, first, using the time-series smart card data for an entire month, we employ a Long Short-Term Memory (LSTM) deep learning model to predict the station-level demand rates for the peak hour.
no code implementations • 15 Dec 2019 • Amir Bahador Parsa, Rishabh Singh Chauhan, Homa Taghipour, Sybil Derrible, Abolfazl Mohammadian
The full dataset consists of 241 accident and 6, 038 non-accident cases selected from Chicago expressway, and it includes traffic spatiotemporal data, weather condition data, and congestion status data.