Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Rousseau, Aymeric"'
Autor:
Verbas, Omer, Cokyasar, Taner, Joyce-Johnson, Seamus, Wainwright, Scott, Coates, Maeve, Rousseau, Aymeric, Aloisi, Jim, Stewart, Anson, Auld, Joshua
Transit is essential for urban transportation and achieving net-zero targets. In urban areas like the Chicago Metropolitan Region, transit enhances mobility and connects people, fostering a dynamic economy. To quantify the mobility and selected econo
Externí odkaz:
http://arxiv.org/abs/2409.04568
Autor:
Auld, Joshua, Cook, Jamie, Gurumurthy, Krishna Murthy, Khan, Nazmul, Mansour, Charbel, Rousseau, Aymeric, Sahin, Olcay, de Souza, Felipe, Verbas, Omer, Zuniga-Garcia, Natalia
Rapid technological progress and innovation in the areas of vehicle connectivity, automation and electrification, new modes of shared and alternative mobility, and advanced transportation system demand and supply management strategies, have motivated
Externí odkaz:
http://arxiv.org/abs/2403.14669
Autor:
Moawad, Ayman, Gurumurthy, Krishna Murthy, Verbas, Omer, Li, Zhijian, Islam, Ehsan, Freyermuth, Vincent, Rousseau, Aymeric
This paper presents a machine learning approach to model the electric consumption of electric vehicles at macroscopic level, i.e., in the absence of a speed profile, while preserving microscopic level accuracy. For this work, we leveraged a high-perf
Externí odkaz:
http://arxiv.org/abs/2111.12861
Autor:
Moawad, Ayman, Li, Zhijian, Pancorbo, Ines, Gurumurthy, Krishna Murthy, Freyermuth, Vincent, Islam, Ehsan, Vijayagopal, Ram, Stinson, Monique, Rousseau, Aymeric
This paper presents a neural network recommender system algorithm for assigning vehicles to routes based on energy and cost criteria. In this work, we applied this new approach to efficiently identify the most cost-effective medium and heavy duty tru
Externí odkaz:
http://arxiv.org/abs/2110.10887
Publikováno v:
IEEE Transactions on Artificial Intelligence (Volume: 2, Issue: 2, April 2021, Page(s): 185 - 199)
The broader ambition of this article is to popularize an approach for the fair distribution of the quantity of a system's output to its subsystems, while allowing for underlying complex subsystem level interactions. Particularly, we present a data-dr
Externí odkaz:
http://arxiv.org/abs/2006.08828
Autor:
Sokolov, Vadim, Etherington, David W., Schmid, Christian, Karbowski, Dominik, Rousseau, Aymeric, Imran, Muhammad
This paper analyzes the impact of providing car drivers with predictive information on traffic signal timing in real-time, including time-to-green and green-wave speed recommendations. Over a period of six months, the behavior of these 121 drivers in
Externí odkaz:
http://arxiv.org/abs/1807.02616
Publikováno v:
In IFAC PapersOnLine 2022 55(24):117-122
Autor:
Hyeon, Eunjeong *, Han, Jihun, Shen, Daliang, Karbowski, Dominik, Kim, Namwook, Rousseau, Aymeric
Publikováno v:
In IFAC PapersOnLine 2022 55(24):78-83
Autor:
Kelly, Jarod C., Elgowainy, Amgad, Isaac, Raphael, Ward, Jacob, Islam, Ehsan, Rousseau, Aymeric, Sutherland, Ian, Wallington, Timothy J., Alexander, Marcus, Muratori, Matteo, Franklin, Matthew, Adams, Jesse, Rustagi, Neha
Publikováno v:
ANL/ES - Argonne National Laboratory; Jun2024, Vol. 10 Issue 2, pi-181, 207p
Publikováno v:
In IFAC PapersOnLine 2020 53(2):13842-13849