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pro vyhledávání: '"Cho, Jung-Hoon"'
This paper proposes incentive mechanisms that promote eco-driving in transportation networks with the over-arching objective of minimizing emissions. The transportation system operator provides the drivers with energy-efficient driving guidance throu
Externí odkaz:
http://arxiv.org/abs/2410.07952
Recommendation systems now pervade the digital world, ranging from advertising to entertainment. However, it remains challenging to implement effective recommendation systems in the physical world, such as in mobility or health. This work focuses on
Externí odkaz:
http://arxiv.org/abs/2408.07897
Deep reinforcement learning is a powerful approach to complex decision making. However, one issue that limits its practical application is its brittleness, sometimes failing to train in the presence of small changes in the environment. This work is m
Externí odkaz:
http://arxiv.org/abs/2408.04498
Autor:
Hasan, Aamir, Chakraborty, Neeloy, Chen, Haonan, Cho, Jung-Hoon, Wu, Cathy, Driggs-Campbell, Katherine
Fleets of autonomous vehicles can mitigate traffic congestion through simple actions, thus improving many socioeconomic factors such as commute time and gas costs. However, these approaches are limited in practice as they assume precise control over
Externí odkaz:
http://arxiv.org/abs/2407.00553
Emerging mobility systems are increasingly capable of recommending options to mobility users, to guide them towards personalized yet sustainable system outcomes. Even more so than the typical recommendation system, it is crucial to minimize regret, b
Externí odkaz:
http://arxiv.org/abs/2401.15062
The recent development of connected and automated vehicle (CAV) technologies has spurred investigations to optimize dense urban traffic to maximize vehicle speed and throughput. This paper explores advisory autonomy, in which real-time driving adviso
Externí odkaz:
http://arxiv.org/abs/2312.09436
Eco-driving emerges as a cost-effective and efficient strategy to mitigate greenhouse gas emissions in urban transportation networks. Acknowledging the persuasive influence of incentives in shaping driver behavior, this paper presents the `eco-planne
Externí odkaz:
http://arxiv.org/abs/2311.03682
PeRP: Personalized Residual Policies For Congestion Mitigation Through Co-operative Advisory Systems
Autor:
Hasan, Aamir, Chakraborty, Neeloy, Chen, Haonan, Cho, Jung-Hoon, Wu, Cathy, Driggs-Campbell, Katherine
Intelligent driving systems can be used to mitigate congestion through simple actions, thus improving many socioeconomic factors such as commute time and gas costs. However, these systems assume precise control over autonomous vehicle fleets, and are
Externí odkaz:
http://arxiv.org/abs/2308.00864
Publikováno v:
In Physica A: Statistical Mechanics and its Applications 15 August 2022 600
Autor:
Hughes, Jing W., Cho, Jung Hoon, Conway, Hannah E., DiGruccio, Michael R., Ng, Xue Wen, Roseman, Henry F., Abreu, Damien, Urano, Fumihiko, Piston, David W.
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Apr . 117(16), 8912-8923.
Externí odkaz:
https://www.jstor.org/stable/26929660