2 citations · 4 across the 4 of their papers we have counts for
4 papers
Enhancing short-term traffic prediction by integrating trends and fluctuations with attention mechanism
Adway Das, Agnimitra Sengupta, S. Ilgin Guler
Traffic flow prediction is a critical component of intelligent transportation systems, yet accurately forecasting traffic remains challenging due to the interaction between long-te…
Leveraging Twitter Data for Sentiment Analysis of Transit User Feedback: An NLP Framework
Adway Das, Abhishek Kumar Prajapati, Pengxiang Zhang +2
Traditional methods of collecting user feedback through transit surveys are often time-consuming, resource intensive, and costly. In this paper, we propose a novel NLP-based framew…
A Bayesian approach to quantifying uncertainties and improving generalizability in traffic prediction models
Agnimitra Sengupta, Sudeepta Mondal, Adway Das +1
Deep-learning models for traffic data prediction can have superior performance in modeling complex functions using a multi-layer architecture. However, a major drawback of these ap…
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…