Rahul Sengupta

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 13

Top Topics

Top Venues

IEEE Trans. Intell. Transp. Syst.

Publications

Aotian Wu, Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections. IV (2024)
Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. CoRR (2024)
Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
MTDT: A Multi-Task Deep Learning Digital Twin. CoRR (2024)
Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. VEHITS (2023)
Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, James Dika, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka
Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets. IEEE Trans. Intell. Transp. Syst. 24 (11) (2023)
Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan
Using DSRC Road-Side Unit Data to Derive Braking Behavior. VEHITS (2023)
Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Tania Banerjee, Ke Chen, Alejandro Almaraz, Rahul Sengupta, Yashaswi Karnati, Bryce Grame, Emmanuel Posadas, Subhadipto Poddar, Robert Schenck, Jeremy Dilmore, Siva Srinivasan, Anand Rangarajan, Sanjay Ranka
A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety. ITSC (2022)
Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka
Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. VEHITS (2021)
Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka
TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data. ITSC (2021)
Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, Anand Rangarajan, Sanjay Ranka
A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions. ITSC (2020)
Wei Zhang, Rahul Sengupta, John Fodero, Xiaolin Li
DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning. ICMLA (2017)
Rajendra Rana Bhat, Rodrigo Daniel Trevizan, Rahul Sengupta, Xiaolin Li, Arturo S. Bretas
Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning. ICMLA (2016)