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Published in Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, 2022
A framework of transportation-grid co-simulation, analyzing the spatiotemporal interaction between the transit operations with electric buses and the power distribution grid.
Recommended citation: R. Sen, A. K. Bharati, S. Khaleghian, M. Ghosal, M. Wilbur, T. Tran, P. Pugliese, M. Sartipi, H. Neema, and A. Dubey, E-Transit-Bench: Simulation Platform for Analyzing Electric Public Transit Bus Fleet Operations, in Proceedings of the Thirteenth ACM International Conference on Future Energy Systems, New York, NY, USA, 2022, pp. 532–541.
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Published in 2022 IEEE International Conference on Big Data, 2022
Public transit is vital for cities but often stagnates due to static design. BTE-Sim, a fast, multi-layered transit simulation, analyzes population demand, traffic, and road networks to optimize routes, evaluate changes, and improve efficiency with low computation time.
Recommended citation: R. Sen, T. Tran, S. Khaleghian, M. Sartipi, H. Neema, and A. Dubey, BTE-Sim: Fast simulation environment for public transportation, 2022 IEEE International Conference on Big Data, 2022.
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Published in 2024 IEEE International Conference on Smart Computing (SMARTCOMP), 2024
A framework of transportation-grid co-simulation, analyzing the spatiotemporal interaction between the transit operations with electric buses and the power distribution grid.
Recommended citation: J. P. Talusan, R. Sen, A. K. Ava Pettet, Y. Suzue, L. Pedersen, A. Mukhopadhyay, and A. Dubey, OPTIMUS: Discrete Event Simulator for Vehicle-to-Building Charging Optimization, in 2024 IEEE International Conference on Smart Computing (SMARTCOMP), 2024.
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Published in 27th IEEE International Conference on Intelligent Transportation Systems, 2024
This study presents a robust hierarchical MILP model that optimizes charging and trip assignments for mixed bus fleets (electric and internal combustion engine buses), cutting costs and enhancing sustainability using real-world data from Chattanooga, Tennessee.
Recommended citation: R. Sen, A. Sivagnanam, A. Laszka, A. Mukhopadhyay, and A. Dubey, Grid-Aware Charging and Operational Optimization for Mixed-Fleet Public Transit, in 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC), 2024.
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Published in 16th ACM/IEEE International Conference on Cyber-Physical Systems, 2025
Vehicle-to-Building (V2B) systems optimize EV charging and discharging to cut costs, but complexity arises from pricing, planning, and user constraints; we model it as an MDP and use online search with heuristics, achieving state-of-the-art results in real-world tests using data from an EV manufacturer.
Recommended citation: R. Sen, Y. Zhang, F. Liu, J. P. Talusan, A. Pettet, Y. Suzue, A. Mukhopadhyay, and A. Dubey, Online Decision-Making Under Uncertainty for Vehicle-to-Building Systems, 16th ACM/IEEE International Conference on Cyber-Physical Systems, 2025.
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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