Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sabouni, Ehsan"'
Autor:
Sabouni, Ehsan, Ahmad, H. M. Sabbir, Giammarino, Vittorio, Cassandras, Christos G., Paschalidis, Ioannis Ch., Li, Wenchao
Optimal control methods provide solutions to safety-critical problems but easily become intractable. Control Barrier Functions (CBFs) have emerged as a popular technique that facilitates their solution by provably guaranteeing safety, through their f
Externí odkaz:
http://arxiv.org/abs/2403.17338
Autor:
Ahmad, H M Sabbir, Sabouni, Ehsan, Dickson, Akua, Xiao, Wei, Cassandras, Christos G., Li, Wenchao
We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to safely navigate through a conflict area (e.g., traffic intersections, merging roadways, roundabouts). Previous studies have shown that such a network can b
Externí odkaz:
http://arxiv.org/abs/2401.02306
Autor:
Zhang, Zhili, Ahmad, H M Sabbir, Sabouni, Ehsan, Sun, Yanchao, Huang, Furong, Li, Wenchao, Miao, Fei
We address the problem of coordination and control of Connected and Automated Vehicles (CAVs) in the presence of imperfect observations in mixed traffic environment. A commonly used approach is learning-based decision-making, such as reinforcement le
Externí odkaz:
http://arxiv.org/abs/2309.11057
We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such problems can be solved through a combination of tractable optimal con
Externí odkaz:
http://arxiv.org/abs/2306.01871
We address the security of a network of Connected and Automated Vehicles (CAVs) cooperating to navigate through a conflict area. Adversarial attacks such as Sybil attacks can cause safety violations resulting in collisions and traffic jams. In additi
Externí odkaz:
http://arxiv.org/abs/2305.16818
We address the problem of merging traffic from two roadways consisting of both Connected Autonomous Vehicles (CAVs) and Human Driven Vehicles (HDVs). Guaranteeing safe merging in such mixed traffic settings is challenging due to the unpredictability
Externí odkaz:
http://arxiv.org/abs/2305.16725
We consider the problem of a single Autonomous Vehicle (AV) merging into traffic consisting only of Human Driven Vehicles (HDVs) with the goal of minimizing both the travel time and energy consumption of the entire group of vehicles involved in the m
Externí odkaz:
http://arxiv.org/abs/2211.03829
We address the problem of controlling Connected and Automated Vehicles (CAVs) in conflict areas of a traffic network subject to hard safety constraints. It has been shown that such problems can be solved through a combination of tractable optimal con
Externí odkaz:
http://arxiv.org/abs/2209.13053
In this paper, a self-triggered scheme is proposed to optimally control the traffic flow of Connected and Automated Vehicles (CAVs) at conflict areas of a traffic network with the main aim of reducing the data exchange among CAVs in the control zone
Externí odkaz:
http://arxiv.org/abs/2203.13147
Publikováno v:
In Automatica April 2024 162