Zobrazeno 1 - 10
of 4 276
pro vyhledávání: '"(Bunting, P"'
Autor:
Ameli, Mostafa, Mcquade, Sean, Lee, Jonathan W., Bunting, Matthew, Nice, Matthew, Wang, Han, Barbour, William, Weightman, Ryan, Denaro, Chris, Delorenzo, Ryan, Hornstein, Sharon, Davis, Jon F., Timsit, Dan, Wagner, Riley, Xu, Rita, Mahmood, Malaika, Mahmood, Mikail, Monache, Maria Laura Delle, Seibold, Benjamin, Work, Daniel B., Sprinkle, Jonathan, Piccoli, Benedetto, Bayen, Alexandre M.
Previous controlled experiments on single-lane ring roads have shown that a single partially autonomous vehicle (AV) can effectively mitigate traffic waves. This naturally prompts the question of how these findings can be generalized to field operati
Externí odkaz:
http://arxiv.org/abs/2404.15533
Autor:
Zhang, Yuting, Liu, Boyang, Bunting, Karina V., Brind, David, Thorley, Alexander, Karwath, Andreas, Lu, Wenqi, Zhou, Diwei, Wang, Xiaoxia, Mobley, Alastair R., Tica, Otilia, Gkoutos, Georgios, Kotecha, Dipak, Duan, Jinming
The echocardiographic measurement of left ventricular ejection fraction (LVEF) is fundamental to the diagnosis and classification of patients with heart failure (HF). In order to quantify LVEF automatically and accurately, this paper proposes a new p
Externí odkaz:
http://arxiv.org/abs/2403.12152
Autor:
Jang, Kathy, Lichtlé, Nathan, Vinitsky, Eugene, Shah, Adit, Bunting, Matthew, Nice, Matthew, Piccoli, Benedetto, Seibold, Benjamin, Work, Daniel B., Monache, Maria Laura Delle, Sprinkle, Jonathan, Lee, Jonathan W., Bayen, Alexandre M.
In this article, we explore the technical details of the reinforcement learning (RL) algorithms that were deployed in the largest field test of automated vehicles designed to smooth traffic flow in history as of 2023, uncovering the challenges and br
Externí odkaz:
http://arxiv.org/abs/2402.17050
Autor:
Lee, Jonathan W., Wang, Han, Jang, Kathy, Hayat, Amaury, Bunting, Matthew, Alanqary, Arwa, Barbour, William, Fu, Zhe, Gong, Xiaoqian, Gunter, George, Hornstein, Sharon, Kreidieh, Abdul Rahman, Lichtlé, Nathan, Nice, Matthew W., Richardson, William A., Shah, Adit, Vinitsky, Eugene, Wu, Fangyu, Xiang, Shengquan, Almatrudi, Sulaiman, Althukair, Fahd, Bhadani, Rahul, Carpio, Joy, Chekroun, Raphael, Cheng, Eric, Chiri, Maria Teresa, Chou, Fang-Chieh, Delorenzo, Ryan, Gibson, Marsalis, Gloudemans, Derek, Gollakota, Anish, Ji, Junyi, Keimer, Alexander, Khoudari, Nour, Mahmood, Malaika, Mahmood, Mikail, Matin, Hossein Nick Zinat, Mcquade, Sean, Ramadan, Rabie, Urieli, Daniel, Wang, Xia, Wang, Yanbing, Xu, Rita, Yao, Mengsha, You, Yiling, Zachár, Gergely, Zhao, Yibo, Ameli, Mostafa, Baig, Mirza Najamuddin, Bhaskaran, Sarah, Butts, Kenneth, Gowda, Manasi, Janssen, Caroline, Lee, John, Pedersen, Liam, Wagner, Riley, Zhang, Zimo, Zhou, Chang, Work, Daniel B., Seibold, Benjamin, Sprinkle, Jonathan, Piccoli, Benedetto, Monache, Maria Laura Delle, Bayen, Alexandre M.
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,"are a significant source of wasted energy. Toward this goal, the CIRC
Externí odkaz:
http://arxiv.org/abs/2402.17043
We provide semiparametric identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: i) known heterogeneity, ii) initially unknown heterogeneity that may be revealed over time, and
Externí odkaz:
http://arxiv.org/abs/2402.08575
Autor:
Nice, Matthew W., Gunter, George, Ji, Junyi, Zhang, Yuhang, Bunting, Matthew, Barbour, Will, Sprinkle, Jonathan, Work, Dan
This paper introduces a novel approach that seeks a middle ground for traffic control in multi-lane congestion, where prevailing traffic speeds are too fast, and speed recommendations designed to dampen traffic waves are too slow. Advanced controller
Externí odkaz:
http://arxiv.org/abs/2401.15818
Autor:
Nice, Matthew, Bunting, Matt, Richardson, Alex, Zachar, Gergely, Lee, Jonathan W., Bayen, Alexandre, Monache, Maria Laura Delle, Seibold, Benjamin, Piccoli, Benedetto, Sprinkle, Jonathan, Work, Dan
We demonstrate a new capability of automated vehicles: mixed autonomy traffic control. With this new capability, automated vehicles can shape the traffic flows composed of other non-automated vehicles, which has the promise to improve safety, efficie
Externí odkaz:
http://arxiv.org/abs/2310.18776
Autor:
Hayat, Amaury, Alanqary, Arwa, Bhadani, Rahul, Denaro, Christopher, Weightman, Ryan J., Xiang, Shengquan, Lee, Jonathan W., Bunting, Matthew, Gollakota, Anish, Nice, Matthew W., Gloudemans, Derek, Zachar, Gergely, Davis, Jon F., Monache, Maria Laura Delle, Seibold, Benjamin, Bayen, Alexandre M., Sprinkle, Jonathan, Work, Daniel B., Piccoli, Benedetto
The dissipation of stop-and-go waves attracted recent attention as a traffic management problem, which can be efficiently addressed by automated driving. As part of the 100 automated vehicles experiment named MegaVanderTest, feedback controls were us
Externí odkaz:
http://arxiv.org/abs/2310.18151
Autor:
Edwards, Liam T., Bunting, Kaine A., Ramsey, Brad, Gunn, Matthew, Fearn, Tomos, Knight, Thomas, Muro, Gabriel Domingo, Morgan, Huw
A new instrument was designed to take visible-light (VL) polarized brightness ($pB$) observations of the solar corona during the 14 December 2020 total solar eclipse. The instrument, called the Coronal Imaging Polarizer (CIP), consisted of a 16 MP CM
Externí odkaz:
http://arxiv.org/abs/2310.09095
Autor:
Nice, Matthew, Bunting, Matthew, Gunter, George, Barbour, William, Sprinkle, Jonathan, Work, Dan
This work demonstrates a new capability in roadway control: Speed-adaptive, infrastructure-linked connected and automated vehicles. We develop and deploy a lightly modified vehicle that is able to dynamically adjust the vehicle speed in response to p
Externí odkaz:
http://arxiv.org/abs/2310.06931