Zobrazeno 1 - 10
of 599
pro vyhledávání: '"Piccoli Benedetto"'
Autor:
Piccoli Benedetto
Publikováno v:
Open Mathematics, Vol 21, Iss 1, Pp 1-98 (2023)
The purpose of this review article is to present some recent results on the modeling and control of large systems of agents. We focus on particular applications where the agents are capable of independent actions instead of simply reacting to externa
Externí odkaz:
https://doaj.org/article/1f563b7853d647249b4e321fb81f82ea
Autor:
Ji, Junyi, Gloudemans, Derek, Wang, Yanbing, Zachár, Gergely, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Analyzing stop-and-go waves at the scale of miles and hours of data is an emerging challenge in traffic research. In the past, datasets were of limited scale and could be easily analyzed by hand or with rudimentary methods to identify a very limited
Externí odkaz:
http://arxiv.org/abs/2409.00326
Autor:
Ji, Junyi, Richardson, Alex, Gloudemans, Derek, Zachár, Gergely, Nice, Matthew, Barbour, William, Sprinkle, Jonathan, Piccoli, Benedetto, Work, Daniel B.
Stop-and-go waves are a fundamental phenomenon in freeway traffic flow, contributing to inefficiencies, crashes, and emissions. Recent advancements in high-fidelity sensor technologies have improved the ability to capture detailed traffic dynamics, y
Externí odkaz:
http://arxiv.org/abs/2408.00941
Autor:
Goatin, Paola, Piccoli, Benedetto
We propose a new model for multi-lane traffic with moving bottlenecks, e.g., autonomous vehicles (AV). It consists of a system of balance laws for traffic in each lane, coupled in the source terms for lane changing, and fully coupled to ODEs for the
Externí odkaz:
http://arxiv.org/abs/2404.17192
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:
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