Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Vahidi, Ardalan"'
This article presents a new optimal control-based interactive motion planning algorithm for an autonomous vehicle interacting with a human-driven vehicle. The ego vehicle solves a joint optimization problem for its motion planning involving costs and
Externí odkaz:
http://arxiv.org/abs/2311.05810
Connected and automated vehicles (CAVs) can plan and actuate control that explicitly considers performance, system safety, and actuation constraints in a manner more efficient than their human-driven counterparts. In particular, eco-driving is enable
Externí odkaz:
http://arxiv.org/abs/2211.09658
A new motion planning framework for automated highway merging is presented in this paper. To plan the merge and predict the motion of the neighboring vehicle, the ego automated vehicle solves a joint optimization of both vehicle costs over a receding
Externí odkaz:
http://arxiv.org/abs/2211.02225
Autor:
Shen, Minghao, Dollar, R. Austin, Molnar, Tamas G., He, Chaozhe R., Vahidi, Ardalan, Orosz, Gabor
In this paper, we propose a framework for the longitudinal control of connected and automated vehicles traveling in mixed traffic consisting of connected and non-connected human-driven vehicles. Reactive and predictive controllers are proposed. React
Externí odkaz:
http://arxiv.org/abs/2210.04397
Publikováno v:
Proceedings of American Control Conference, 2022
Connectivity-enabled automation of distributed control systems allow for better anticipation of system disturbances and better prediction of the effects of actuator limitations on individual agents when incorporating a model. Automated convoy of heav
Externí odkaz:
http://arxiv.org/abs/2208.02119
Autor:
Ard, Tyler, Guo, Longxiang, Dollar, Robert Austin, Fayazi, Alireza, Goulet, Nathan, Jia, Yunyi, Ayalew, Beshah, Vahidi, Ardalan
This paper experimentally demonstrates the effectiveness of an anticipative car-following algorithm in reducing energy use of gasoline engine and electric Connected and Automated Vehicles (CAV), without sacrificing safety and traffic flow. We propose
Externí odkaz:
http://arxiv.org/abs/2009.07872
Autor:
Ashtiani, Faraz, Sreedhara, Vijay Sarthy M, Vahidi, Ardalan, Hutchison, Randolph, Mocko, Gregory
This paper formulates optimal pacing of a cyclist on hilly terrain time-trials as a minimum-time optimal control problem. Maximal power of a cyclist serves as a time-varying constraint and depends on fatigue and recovery which are captured via dynami
Externí odkaz:
http://arxiv.org/abs/2007.11393
Publikováno v:
2018 Annual American Control Conference (ACC), Milwaukee, WI, 2018, pp. 6341-6346
This paper extends our previous work in [1],[2], on optimal scheduling of autonomous vehicle arrivals at intersections, from one to a grid of intersections. A scalable distributed Mixed Integer Linear Program (MILP) is devised that solves the schedul
Externí odkaz:
http://arxiv.org/abs/2007.06639
Autor:
Ashtiani, Faraz, Sreedhara, Vijay Sarthy M, Vahidi, Ardalan, Hutchison, Randolph, Mocko, Gregory
Publikováno v:
2019 American Control Conference (ACC), 2019, pp. 5083-5088
Improving a cyclist performance during a time-trial effort has been a challenge for sport scientists for several decades. There has been a lot of work on understanding the physiological concepts behind it. The concepts of Critical Power (CP) and Anae
Externí odkaz:
http://arxiv.org/abs/2007.05507
This paper studies the energy and traffic impact of a proposed Anticipative Cruise Controller in a PTV VISSIM microsimulation environment. We dissect our controller into two parts: 1. the anticipative mode, more immediately beneficial when automated
Externí odkaz:
http://arxiv.org/abs/1911.06818