Zobrazeno 1 - 10
of 686
pro vyhledávání: '"Cassandras, Christos G."'
Autor:
Li, Anni, Cassandras, Christos G.
We consider a mixed-traffic environment in transportation systems, where Connected and Automated Vehicles (CAVs) coexist with potentially non-cooperative Human-Driven Vehicles (HDVs). We develop a cooperation compliance control framework to incentivi
Externí odkaz:
http://arxiv.org/abs/2405.17594
We develop adaptive data-driven traffic light controllers for a grid-like traffic network considering straight, left-turn, and right-turn traffic flows. The analysis incorporates transit delays and blocking effects on vehicle movements between neighb
Externí odkaz:
http://arxiv.org/abs/2404.17479
We consider the problem of using an autonomous agent to persistently monitor a collection of dynamic targets distributed in an environment. We generalize existing work by allowing the agent's dynamics to vary throughout the environment, leading to a
Externí odkaz:
http://arxiv.org/abs/2403.19769
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
We propose an output feedback control-based motion planning technique for agents to enable them to converge to a specified polynomial trajectory while imposing a set of safety constraints on our controller to avoid collisions within the free configur
Externí odkaz:
http://arxiv.org/abs/2403.16900
We consider a class of multi-agent optimal coverage problems in which the goal is to determine the optimal placement of a group of agents in a given mission space so that they maximize a coverage objective that represents a blend of individual and co
Externí odkaz:
http://arxiv.org/abs/2403.14028
We derive time and energy-optimal policies for a Connected Autonomous Vehicle (CAV) to execute lane change maneuvers in mixed traffic, i.e., in the presence of both CAVs and Human Driven Vehicles (HDVs). These policies are also shown to be robust wit
Externí odkaz:
http://arxiv.org/abs/2406.16870
This paper develops a controller for Connected and Automated Vehicles (CAVs) traversing a single-lane roundabout. The controller simultaneously determines the optimal sequence and associated optimal motion control jointly minimizing travel time and e
Externí odkaz:
http://arxiv.org/abs/2403.09923
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
This paper studies safe driving interactions between Human-Driven Vehicles (HDVs) and Connected and Automated Vehicles (CAVs) in mixed traffic where the dynamics and control policies of HDVs are unknown and hard to predict. In order to address this c
Externí odkaz:
http://arxiv.org/abs/2310.00534