Zobrazeno 1 - 10
of 324
pro vyhledávání: '"Bayen, Alexandre M."'
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:
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
Autor:
Wang, Han, Fu, Zhe, Lee, Jonathan, Matin, Hossein Nick Zinat, Alanqary, Arwa, Urieli, Daniel, Hornstein, Sharon, Kreidieh, Abdul Rahman, Chekroun, Raphael, Barbour, William, Richardson, William A., Work, Dan, Piccoli, Benedetto, Seibold, Benjamin, Sprinkle, Jonathan, Bayen, Alexandre M., Monache, Maria Laura Delle
This paper introduces a novel control framework for Lagrangian variable speed limits in hybrid traffic flow environments utilizing automated vehicles (AVs). The framework was validated using a fleet of 100 connected automated vehicles as part of the
Externí odkaz:
http://arxiv.org/abs/2402.16993
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:
Khoudari, Nour, Almatrudi, Sulaiman, Ramadan, Rabie, Carpio, Joy, Yao, Mengsha, Butts, Kenneth, Bayen, Alexandre M., Lee, Jonathan W., Seibold, Benjamin
The energy demand of vehicles, particularly in unsteady drive cycles, is affected by complex dynamics internal to the engine and other powertrain components. Yet, in many applications, particularly macroscopic traffic flow modeling and optimization,
Externí odkaz:
http://arxiv.org/abs/2310.06297
Autor:
Fu, Zhe, Kreidieh, Abdul Rahman, Wang, Han, Lee, Jonathan W., Monache, Maria Laura Delle, Bayen, Alexandre M.
Autonomous driving systems present promising methods for congestion mitigation in mixed autonomy traffic control settings. In particular, when coupled with even modest traffic state estimates, such systems can plan and coordinate the behaviors of aut
Externí odkaz:
http://arxiv.org/abs/2302.07453
Networks are essential models in many applications such as information technology, chemistry, power systems, transportation, neuroscience, and social sciences. In light of such broad applicability, a general theory of dynamical systems on networks ma
Externí odkaz:
http://arxiv.org/abs/2211.13730
Emerging vehicular systems with increasing proportions of automated components present opportunities for optimal control to mitigate congestion and increase efficiency. There has been a recent interest in applying deep reinforcement learning (DRL) to
Externí odkaz:
http://arxiv.org/abs/2208.00268
The rise of vehicle automation has generated significant interest in the potential role of future automated vehicles (AVs). In particular, in highly dense traffic settings, AVs are expected to serve as congestion-dampeners, mitigating the presence of
Externí odkaz:
http://arxiv.org/abs/2208.12534