Follow
Bilal Thonnam Thodi
Bilal Thonnam Thodi
PhD Candidate, New York University
Verified email at nyu.edu - Homepage
Title
Cited by
Cited by
Year
Incorporating kinematic wave theory into a deep learning method for high-resolution traffic speed estimation
BT Thodi, ZS Khan, SE Jabari, M Menéndez
IEEE Transactions on Intelligent Transportation Systems 23 (10), 17849-17862, 2022
392022
Traffic data imputation using deep convolutional neural networks
O Benkraouda, BT Thodi, H Yeo, M Menendez, SE Jabari
IEEE Access 8, 104740-104752, 2020
332020
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
212022
Learning traffic flow dynamics using random fields
SEG Jabari, DM Dilip, D Lin, BT Thodi
IEEE Access 7, 130566-130577, 2019
192019
Noticeability versus impact in traffic signal tampering
BT Thodi, T Mulumba, SE Jabari
IEEE Access 8, 86149-86161, 2020
92020
Learning traffic speed dynamics from visualizations
BT Thodi, ZS Khan, SE Jabari, M Menéndez
2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021
82021
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
72022
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
42024
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
42022
Deep Learning Methods for Inverse Problems in Traffic Flow
BT Thodi
New York University Tandon School of Engineering, 2023
12023
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
12021
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
12020
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
The system can't perform the operation now. Try again later.
Articles 1–16