1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Evaluating the reliability of automatically generated pedestrian and bicycle crash surrogates
Agnimitra Sengupta, S. Ilgin Guler, Vikash V. Gayah +1
Vulnerable road users (VRUs), such as pedestrians and bicyclists, are at a higher risk of being involved in crashes with motor vehicles, and crashes involving VRUs also are more li…
cs.LG2023
Newell's theory based feature transformations for spatio-temporal traffic prediction
Agnimitra Sengupta, S. Ilgin Guler
Deep learning (DL) models for spatio-temporal traffic flow forecasting employ convolutional or graph-convolutional filters along with recurrent neural networks to capture spatial a…
cs.LG2023★ 1 cited
Hybrid hidden Markov LSTM for short-term traffic flow prediction
Agnimitra Sengupta, Adway Das, S. Ilgin Guler
Deep learning (DL) methods have outperformed parametric models such as historical average, ARIMA and variants in predicting traffic variables into short and near-short future, that…