Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Urieli, Daniel"'
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
In most modern cities, traffic congestion is one of the most salient societal challenges. Past research has shown that inserting a limited number of autonomous vehicles (AVs) within the traffic flow, with driving policies learned specifically for the
Externí odkaz:
http://arxiv.org/abs/2112.03759
Traffic congestion is a major challenge in modern urban settings. The industry-wide development of autonomous and automated vehicles (AVs) motivates the question of how can AVs contribute to congestion reduction. Past research has shown that in small
Externí odkaz:
http://arxiv.org/abs/2103.00058
Akademický článek
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Autor:
Matias, Yossi, Urieli, Daniel
Publikováno v:
In Theoretical Computer Science 2007 371(3):227-246
Autor:
Urieli, Daniel, Stone, Peter
Publikováno v:
Machine Learning & Knowledge Discovery in Databases: Part 1; 2013, p65-80, 16p
Autor:
Bai, Aijun, Chen, Xiaoping, MacAlpine, Patrick, Urieli, Daniel, Barrett, Samuel, Stone, Peter
Publikováno v:
RoboCup 2011: Robot Soccer World Cup XV; 2012, p1-12, 12p
Publikováno v:
Algorithms - ESA 2006; 2006, p504-515, 12p
Publikováno v:
Database Theory - ICDT 2005; 2004, p368-382, 15p