Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Guanetti, Jacopo"'
Autor:
Guanetti, Jacopo, Kim, Yeojun, Shen, Xu, Donham, Joel, Alexander, Santosh, Wootton, Bruce, Borrelli, Francesco
This work presents a novel hierarchical approach to increase Battery Electric Buses (BEBs) utilization in transit fleets. The proposed approach relies on three key components. A learning-based BEB digital twin cloud platform is used to accurately pre
Externí odkaz:
http://arxiv.org/abs/2305.14732
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:
http://arxiv.org/abs/2108.07911
Autor:
Smith, Stanley W., Kim, Yeojun, Guanetti, Jacopo, Li, Ruolin, Firoozi, Roya, Wootton, Bruce, Kurzhanskiy, Alexander A., Borrelli, Francesco, Horowitz, Roberto, Arcak, Murat
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:
http://arxiv.org/abs/2006.10272
This paper presents a data-driven supervisory energy management strategy (EMS) for plug-in hybrid electric vehicles which leverages Vehicle-to-Cloud connectivity to increase energy efficiency by learning control policies from completed trips. The pro
Externí odkaz:
http://arxiv.org/abs/2006.03704
We present a hardware-in-the-loop (HIL) simulation setup for repeatable testing of Connected Automated Vehicles (CAVs) in dynamic, real-world scenarios. Our goal is to test control and planning algorithms and their distributed implementation on the v
Externí odkaz:
http://arxiv.org/abs/1907.09052
We present a predictive cruise controller which iteratively improves the fuel economy of a vehicle traveling along the same route every day. Our approach uses historical data from previous trip iterations to improve vehicle performance while guarante
Externí odkaz:
http://arxiv.org/abs/1907.04990
Autor:
Smith, Stanley W., Kim, Yeojun, Guanetti, Jacopo, Kurzhanskiy, Alexander A., Arcak, Murat, Borrelli, Francesco
In this paper we propose a distributed model predictive control architecture to coordinate the longitudinal motion of a vehicle platoon at a signalized intersection. Our control approach is cooperative; we use vehicle-to-vehicle (V2V) communication i
Externí odkaz:
http://arxiv.org/abs/1904.08557
Autor:
Bae, Sangjae, Choi, Yongkeun, Kim, Yeojun, Guanetti, Jacopo, Borrelli, Francesco, Moura, Scott
This paper presents the design of an ecological adaptive cruise controller (ECO-ACC) for a plug-in hybrid vehicle (PHEV) which exploits automated driving and connectivity. Most existing papers for ECO-ACC focus on a short-sighted control scheme. A tw
Externí odkaz:
http://arxiv.org/abs/1903.08784
This paper presents the design and implementation results of an ecological adaptive cruise controller (ECO-ACC) which exploits driving automation and connectivity. The controller avoids front collisions and traffic light violations, and is designed t
Externí odkaz:
http://arxiv.org/abs/1810.12442
We present the design of a safe Adaptive Cruise Control (ACC) which uses road grade and lead vehicle motion preview. The ACC controller is designed by using a Model Predictive Control (MPC) framework to optimize comfort, safety, energy-efficiency and
Externí odkaz:
http://arxiv.org/abs/1810.09000