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2020 – today
- 2024
[c9]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: 3092-3099- [i2]Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation. CoRR abs/2404.07446 (2024) - [i1]Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka:
MTDT: A Multi-Task Deep Learning Digital Twin. CoRR abs/2405.00922 (2024) - 2023
- [j2]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): 11607-11622 (2023) - [c8]Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan:
Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video. VEHITS 2023: 54-63 - [c7]Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan:
Using DSRC Road-Side Unit Data to Derive Braking Behavior. VEHITS 2023: 420-427 - 2022
- [j1]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): 2538-2548 (2022) - [c6]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: 3117-3124 - 2021
- [c5]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: 3313-3320 - [c4]Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka:
Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction. VEHITS 2021: 735-744 - 2020
- [c3]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: 1-6
2010 – 2019
- 2017
- [c2]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: 7-13 - 2016
- [c1]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: 272-279
Coauthor Index
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