| Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow F Zheng, C Liu, X Liu, SE Jabari, L Lu Transportation research part C: emerging technologies 112, 203-219, 2020 | 277 | 2020 |
| A stochastic model of traffic flow: Theoretical foundations SE Jabari, HX Liu Transportation Research Part B: Methodological 46 (1), 156-174, 2012 | 198 | 2012 |
| A stochastic model of traffic flow: Gaussian approximation and estimation SE Jabari, HX Liu Transportation Research Part B: Methodological 47, 15-41, 2013 | 124 | 2013 |
| Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems Y Wang, E Sarkar, W Li, M Maniatakos, SE Jabari IEEE Transactions on Information Forensics and Security 16, 4772-4787, 2021 | 117 | 2021 |
| A probabilistic stationary speed–density relation based on Newell’s simplified car-following model SE Jabari, J Zheng, HX Liu Transportation Research Part B: Methodological 68, 205-223, 2014 | 109 | 2014 |
| Position weighted backpressure intersection control for urban networks L Li, SE Jabari Transportation Research Part B: Methodological 128, 435-461, 2019 | 98 | 2019 |
| Pay to change lanes: A cooperative lane-changing strategy for connected/automated driving DC Lin, SE Jabari Transportation Research Part C: Emerging Technologies 105, 550-564, 2019 | 95 | 2019 |
| 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 | 73 | 2022 |
| Traffic state estimation using stochastic Lagrangian dynamics F Zheng, SE Jabari, HX Liu, DC Lin Transportation Research Part B: Methodological 115, 143-165, 2018 | 72 | 2018 |
| Node modeling for congested urban road networks SE Jabari Transportation Research Part B: Methodological 91, 229-249, 2016 | 54 | 2016 |
| A real-time dispatching strategy for shared automated electric vehicles with performance guarantees L Li, T Pantelidis, JYJ Chow, SE Jabari Transportation Research Part E: Logistics and Transportation Review 152, 102392, 2021 | 52 | 2021 |
| Traffic data imputation using deep convolutional neural networks O Benkraouda, BT Thodi, H Yeo, M Menendez, SE Jabari arXiv preprint arXiv:2002.04406, 2020 | 51 | 2020 |
| A node-charge graph-based online carshare rebalancing policy with capacitated electric charging TP Pantelidis, L Li, TY Ma, JYJ Chow, SEG Jabari Transportation Science 56 (3), 654-676, 2022 | 47 | 2022 |
| Backpressure control with estimated queue lengths for urban network traffic L Li, V Okoth, SE Jabari IET Intelligent Transport Systems 15 (2), 320-330, 2021 | 40 | 2021 |
| Pay for Intersection Priority: A Free Market Mechanism for Connected Vehicles DC Lin, SE Jabari IEEE Transactions on Intelligent Transportation Systems 23 (6), 5138 - 5149, 2022 | 38 | 2022 |
| Sparse travel time estimation from streaming data SE Jabari, NM Freris, DM Dilip Transportation Science 54 (1), 1-20, 2020 | 30 | 2020 |
| An agent-based simulation for shared automated electric vehicles with vehicle relocation L Li, DC Lin, T Pantelidis, J Chow, SE Jabari 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3308-3313, 2019 | 29 | 2019 |
| Stochastic Lagrangian modeling of traffic dynamics SE Jabari, F Zheng, H Liu, M Filipovska Proc. 97th Annu. Meeting Transp. Res. Board, 1-14, 2018 | 29 | 2018 |
| 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 | 27 | 2024 |
| Nonlinear traffic prediction as a matrix completion problem with ensemble learning W Li, C Yang, SE Jabari Transportation science 56 (1), 52-78, 2022 | 27 | 2022 |
Henry LiuProfessor of Civil and Environmental Engineering, University of Michigan, Ann ArborVerified email at umich.edu
