| Dissipation of stop-and-go waves via control of autonomous vehicles: Field experiments RE Stern, S Cui, ML Delle Monache, R Bhadani, M Bunting, M Churchill, ... Transportation Research Part C: Emerging Technologies 89, 205-221, 2018 | 854 | 2018 |
| Are commercially implemented adaptive cruise control systems string stable? G Gunter, D Gloudemans, RE Stern, S McQuade, R Bhadani, M Bunting, ... IEEE Transactions on Intelligent Transportation Systems 22 (11), 6992-7003, 2020 | 325 | 2020 |
| Stabilizing traffic flow via a single autonomous vehicle: Possibilities and limitations S Cui, B Seibold, R Stern, DB Work 2017 IEEE Intelligent Vehicles Symposium (IV), 1336-1341, 2017 | 216 | 2017 |
| Self-sustained nonlinear waves in traffic flow MR Flynn, AR Kasimov, JC Nave, RR Rosales, B Seibold Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 79 (5 …, 2009 | 199 | 2009 |
| Quantifying air quality benefits resulting from few autonomous vehicles stabilizing traffic RE Stern, Y Chen, M Churchill, F Wu, ML Delle Monache, B Piccoli, ... Transportation Research Part D: Transport and Environment 67, 351-365, 2019 | 154 | 2019 |
| A gradient-augmented level set method with an optimally local, coherent advection scheme JC Nave, RR Rosales, B Seibold Journal of Computational Physics 229 (10), 3802-3827, 2010 | 153 | 2010 |
| Comparative model accuracy of a data-fitted generalized Aw-Rascle-Zhang model S Fan, M Herty, B Seibold arXiv preprint arXiv:1310.8219, 2013 | 151 | 2013 |
| A compact and fast Matlab code solving the incompressible Navier-Stokes equations on rectangular domains mit18086 navierstokes. m B Seibold Massachusetts Institute of Technology, 2008 | 91 | 2008 |
| Tracking vehicle trajectories and fuel rates in phantom traffic jams: Methodology and data F Wu, RE Stern, S Cui, ML Delle Monache, R Bhadani, M Bunting, ... Transportation Research Part C: Emerging Technologies 99, 82-109, 2019 | 86 | 2019 |
| Constructing set-valued fundamental diagrams from jamiton solutions in second order traffic models B Seibold, MR Flynn, AR Kasimov, RR Rosales arXiv preprint arXiv:1204.5510, 2012 | 84 | 2012 |
| Data-fitted first-order traffic models and their second-order generalizations: Comparison by trajectory and sensor data S Fan, B Seibold Transportation research record 2391 (1), 32-43, 2013 | 67 | 2013 |
| Minimal positive stencils in meshfree finite difference methods for the Poisson equation B Seibold Computer Methods in Applied Mechanics and Engineering 198 (3-4), 592-601, 2008 | 61 | 2008 |
| Jet schemes for advection problems B Seibold, JC Nave, RR Rosales arXiv preprint arXiv:1101.5374, 2011 | 55 | 2011 |
| M-Matrices in meshless finite difference methods B Seibold Shaker, 2006 | 51 | 2006 |
| Feedback control algorithms for the dissipation of traffic waves with autonomous vehicles ML Delle Monache, T Liard, A Rat, R Stern, R Bhadani, B Seibold, ... Computational Intelligence and Optimization Methods for Control Engineering …, 2019 | 49 | 2019 |
| StaRMAP---A second order staggered grid method for spherical harmonics moment equations of radiative transfer B Seibold, M Frank ACM Transactions on Mathematical Software (TOMS) 41 (1), 1-28, 2014 | 45 | 2014 |
| A collapsed generalized Aw-Rascle-Zhang model and its model accuracy S Fan, Y Sun, B Piccoli, B Seibold, DB Work arXiv preprint arXiv:1702.03624, 2017 | 42 | 2017 |
| Two-dimensional macroscopic model for large scale traffic networks S Mollier, ML Delle Monache, C Canudas-de-Wit, B Seibold Transportation Research Part B: Methodological 122, 309-326, 2019 | 41 | 2019 |
| Deploying traffic smoothing cruise controllers learned from trajectory data N Lichtlé, E Vinitsky, M Nice, B Seibold, D Work, AM Bayen 2022 International Conference on Robotics and Automation (ICRA), 2884-2890, 2022 | 40 | 2022 |
| A mathematical introduction to traffic flow theory B Seibold IPAM Tutorials, 2015 | 38 | 2015 |
Dan WorkVanderbilt University在 vanderbilt.edu 的电子邮件经过验证
