Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Yeojun Kim"'
Autor:
Stanley W. Smith, Yeojun Kim, Jacopo Guanetti, Ruolin Li, Roya Firoozi, Bruce Wootton, Alexander A. Kurzhanskiy, Francesco Borrelli, Roberto Horowitz, Murat Arcak
Publikováno v:
IEEE Access, Vol 8, Pp 141208-141223 (2020)
In this paper we present a model-predictive control (MPC) based approach for vehicle platooning in an urban traffic setting. Our primary goal is to demonstrate that vehicle platooning has the potential to significantly increase throughput at intersec
Externí odkaz:
https://doaj.org/article/77b89ecb9e1945639aa8a969b7ec0664
Autor:
Sangjae Bae, Yeojun Kim, Yongkeun Choi, Jacopo Guanetti, Preet Gill, Francesco Borrelli, Scott J. Moura
Publikováno v:
Journal of Dynamic Systems, Measurement, and Control. 144
This paper examines both mathematical formulation and practical implementation of an ecological adaptive cruise controller (ECO-ACC) with connected infrastructure. Human errors are typical sources of accidents in urban driving, which can be remedied
This paper studies the value of communicated motion predictions in the longitudinal control of connected automated vehicles (CAVs). We focus on a safe cooperative adaptive cruise control (CACC) design and analyze the value of vehicle-to-vehicle (V2V)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::284fca1dc77aa4f866e1f4dc73c6b45f
http://arxiv.org/abs/2108.07911
http://arxiv.org/abs/2108.07911
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 20:2728-2739
This paper presents a novel approach in train control systems based on the concept called virtual coupling or train convoys. This approach follows the recent developments in the field of safe platooning of autonomous vehicles. We use a decentralized
Autor:
Francesco Borrelli, Yeojun Kim, Samuel Tay, Lujie Yang, Sergio M. Savaresi, Jacopo Guanetti, Luca Onesto
Publikováno v:
2020 IEEE Intelligent Vehicles Symposium (IV).
Connected and automated vehicles (CAVs) have the potential to improve the safety of automated driving by utilizing increased awareness about their surroundings in real time vehicle control. In this paper we propose a framework for a shared perception
Publikováno v:
SAE Technical Paper Series.
Autor:
Francesco Borrelli, Stanley W. Smith, Alex A. Kurzhanskiy, Jacopo Guanetti, Murat Arcak, Bruce Wootton, Roberto Horowitz, Yeojun Kim, Ruolin Li, Roya Firoozi
Publikováno v:
IEEE Access, Vol 8, Pp 141208-141223 (2020)
In this paper we present a model-predictive control (MPC) based approach for vehicle platooning in an urban traffic setting. Our primary goal is to demonstrate that vehicle platooning has the potential to significantly increase throughput at intersec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9224a776bee6b27820ac1c6b8a1d60d4
Publikováno v:
Annual Reviews in Control. 45:18-40
Autonomous driving technology pledges safety, convenience, and energy efficiency. Its challenges include the unknown intentions of other road users: communication between vehicles and with the road infrastructure is a possible approach to enhance awa
Publikováno v:
CDC
We study the minimum energy routing problem for connected plug-in hybrid electric vehicles. Challenges include the limited on-board energy storage, the hybrid powertrain modeling, and the effect of traffic on energy consumption and travel time. We fo
Publikováno v:
ECC
We propose a cooperative adaptive cruise control which exploits a front vehicle acceleration forecast, available via vehicle-to-vehicle communication, to reduce vehicle energy consumption. The proposed control design can be applied to groups or plato