Rahul Sengupta

According to our database, Rahul Sengupta authored at least 20 papers between 2016 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Enactor: From Traffic Simulators to Surrogate World Models.

Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka

CoRR, March, 2026

BigSUMO: A Scalable Framework for Big Data Traffic Analytics and Parallel Simulation.

Rahul Sengupta, Nooshin Yousefzadeh, Manav Sanghvi, Yash Ranjan, Anand Rangarajan, Sanjay Ranka, Yashaswi Karnati, Jeremy Dilmore, Tushar Patel, Ryan Casburn

CoRR, January, 2026

2025

Graph Attention Network for Lane-Wise and Topology-Invariant Intersection Traffic Simulation.

Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka

IEEE Trans. Intell. Transp. Syst., April, 2025

TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors.

Nooshin Yousefzadeh, Rahul Sengupta, Sanjay Ranka

CoRR, April, 2025

Evaluating Generative Vehicle Trajectory Models for Traffic Intersection Dynamics.

Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka

Proceedings of the Data Science: Foundations and Applications, 2025

TGDT: A Temporal Graph-based Digital Twin for Urban Traffic Corridors.

Nooshin Yousefzadeh, Rahul Sengupta, Jeremy Dilmore, Sanjay Ranka

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Inttrajsim: Trajectory Prediction for Simulating Multi-Vehicle Driving at Signalized Intersections.

Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka

Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

2024

Dynamic Graph Attention Networks for Travel Time Distribution Prediction in Urban Arterial Roads.

Nooshin Yousefzadeh, Rahul Sengupta, Sanjay Ranka

CoRR, 2024

A Data-driven Approach for Probabilistic Traffic Prediction and Simulation at Signalized Intersections.

Aotian Wu, Yash Ranjan, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

MTDT: A Multi-Task Deep Learning Digital Twin.

Nooshin Yousefzadeh, Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

2023

Computing Arterial Travel Time Distributions From Loop Detector and Probe Datasets.

Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, James Dika, Xiaohui Huang, Anand Rangarajan, Sanjay Ranka

IEEE Trans. Intell. Transp. Syst., November, 2023

Using DSRC Road-Side Unit Data to Derive Braking Behavior.

Rahul Sengupta, Tania Banerjee, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan

Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

Towards Effective Traffic Signal Safety and Optimization Using Fisheye Video.

Rahul Sengupta, Tania Banerjee, Ke Chen, Yashaswi Karnati, Sanjay Ranka, Anand Rangarajan

Proceedings of the 9th International Conference on Vehicle Technology and Intelligent Transport Systems, 2023

2022

Subcycle Waveform Modeling of Traffic Intersections Using Recurrent Attention Networks.

Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka

IEEE Trans. Intell. Transp. Syst., 2022

A Modern Intersection Data Analytics System for Pedestrian and Vehicular Safety.

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

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

2021

Subcycle-based Neural Network Algorithms for Turning Movement Count Prediction.

Yashaswi Karnati, Rahul Sengupta, Anand Rangarajan, Sanjay Ranka

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

TQAM: Temporal Attention for Cycle-wise Queue Length Estimation using High-Resolution Loop Detector Data.

Rahul Sengupta, Yashaswi Karnati, Anand Rangarajan, Sanjay Ranka

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

A Platoon Matching Approach for the Estimation of Arterial Travel Time Distributions.

Rahul Sengupta, Rohith R. K. Reddy, Parth Shah, Anand Rangarajan, Sanjay Ranka

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2017

DeepPositioning: Intelligent Fusion of Pervasive Magnetic Field and WiFi Fingerprinting for Smartphone Indoor Localization via Deep Learning.

Wei Zhang, Rahul Sengupta, John Fodero, Xiaolin Li

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

2016

Identifying Nontechnical Power Loss via Spatial and Temporal Deep Learning.

Rajendra Rana Bhat, Rodrigo Daniel Trevizan, Rahul Sengupta, Xiaolin Li, Arturo S. Bretas

Proceedings of the 15th IEEE International Conference on Machine Learning and Applications, 2016