| Incorporating kinematic wave theory into a deep learning method for high-resolution traffic speed estimation BT Thodi, ZS Khan, SE Jabari, M Menendez IEEE Transactions on Intelligent Transportation Systems 23 (10), 17849-17862, 2022 | 55 | 2022 |
| Traffic data imputation using deep convolutional neural networks O Benkraouda, BT Thodi, H Yeo, M Menendez, SE Jabari IEEE Access 8, 104740-104752, 2020 | 38 | 2020 |
| An analytical approach to real-time bus signal priority system for isolated intersections BT Thodi, BR Chilukuri, L Vanajakshi Journal of Intelligent Transportation Systems 26 (2), 145-167, 2022 | 27 | 2022 |
| Learning traffic flow dynamics using random fields SEG Jabari, DM Dilip, DC Lin, BT Thodi IEEE Access 7, 130566-130577, 2019 | 20 | 2019 |
| Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems BT Thodi, SVR Ambadipudi, SE Jabari Transportation research part C: emerging technologies 160, 104500, 2024 | 10 | 2024 |
| Noticeability versus impact in traffic signal tampering BT Thodi, T Mulumba, SE Jabari IEEE Access 8, 86149-86161, 2020 | 9 | 2020 |
| Learning traffic speed dynamics from visualizations BT Thodi, ZS Khan, SE Jabari, M Menéndez 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 8 | 2021 |
| Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors BT Thodi, SVR Ambadipudi, SE Jabari Machine Learning and the Physical Sciences workshop, NeurIPS 2022, 2022 | 7 | 2022 |
| Generalized Adaptive Smoothing Using Matrix Completion for Traffic State Estimation C Yang, BT Thodi, SE Jabari 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 6 | 2022 |
| Deep Learning Methods for Inverse Problems in Traffic Flow BT Thodi New York University Tandon School of Engineering, 2023 | 1 | 2023 |
| Anisotropic kernels for deep convolutional neural network based traffic speed reconstruction BT Thodi, ZS Khan, SE Jabari, M Menendez 100th Annual Meeting of the Transportation Research Board, Washington DC, 2021 | 1 | 2021 |
| Traffic state reconstruction using deep convolutional neural networks O Benkrouda, BT Thodi, H Yeo, M Menendez, SEG Jabari 99th TRB Annual Meeting. Washington, DC 2020, 2020 | 1 | 2020 |
| Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems B Thonnam Thodi, S Venkata Ramana Ambadipudi, S Eddin Jabari arXiv e-prints, arXiv: 2308.07051, 2023 | | 2023 |
| Learning-based solutions to nonlinear hyperbolic PDEs: Empirical insights on generalization errors B Thonnam Thodi, S Venkata Ramana Ambadipudi, S Eddin Jabari arXiv e-prints, arXiv: 2302.08144, 2023 | | 2023 |
| Learning Resolution-invariant Solutions for LWR-type Traffic Flow Models BT Thodi, SE Jabari 10th Symposium of the European Association for Research in Transportation …, 2022 | | 2022 |
| Quantifying Uncertainty and Distributed Control for Unanticipated Traffic Patterns as a Result of Natural and Man-Made Disruptions S Jabari, DC Lin, L Li, BT Thodi Connected Cities for Smart Mobility toward Accessible and Resilient …, 2018 | | 2018 |
Saif Eddin JabariNew York University Abu DhabiEmail verificata su nyu.edu