2 citations · 2 across the 19 of their papers we have counts for
19 papers
Robust Dynamic Pricing and Admission Control with Fairness Guarantees
Yingqing Chen, Anni Li, Christos G. Cassandras +3
Dynamic pricing is commonly used to regulate congestion in shared service systems. This paper is motivated by the fact that in the presence of users with varying price sensitivity…
Robust Taylor-Lagrange Control for Safety-Critical Systems with Guaranteed Feasibility
Wei Xiao, Christos Cassandras, Anni Li
The Control Barrier Function (CBF) method has been widely adopted in solving safety-critical control problems. However, the existence of a CBF is only a sufficient condition for sy…
Hierarchical Multi-Agent Reinforcement Learning with Control Barrier Functions for Safety-Critical Autonomous Systems
H. M. Sabbir Ahmad, Ehsan Sabouni, Alexander Wasilkoff +6
We address the problem of safe policy learning in multi-agent safety-critical autonomous systems. In such systems, it is necessary for each agent to meet the safety requirements at…
Dynamic access pricing control for fair and stable resource sharing
Christopher King, Fabian R. Wirth, Homayoun Hamedmoghadam +2
We consider the co-existence of users with different price sensitivities under dynamic (or surge) pricing that regulates how they access a shared resource. To balance supply and de…
Wise Goose Chase: A Predictive Path Planning Algorithm for Dynamic Rebalancing in Ride-Hailing Systems
Avalpreet Singh Brar, Rong Su, Christos G. Cassandras +1
Traditional rebalancing methods in ride-hailing systems direct idle drivers to fixed destinations, overlooking the fact that ride allocations frequently occur while cruising. This…
A Cooperative Compliance Control Framework for Socially Optimal Mixed Traffic Routing
Anni Li, Ting Bai, Yingqing Chen +2
In mixed traffic environments, where Connected and Autonomed Vehicles (CAVs) coexist with potentially non-cooperative Human-Driven Vehicles (HDVs), the self-centered behavior of hu…
Optimal Safe Sequencing and Motion Control for Mixed Traffic Roundabouts
Yingqing Chen, Christos G. Cassandras
This paper develops an Optimal Safe Sequencing (OSS) control framework for Connected and Automated Vehicles (CAVs) navigating a single-lane roundabout in mixed traffic, where both…
Routing Guidance for Emerging Transportation Systems with Improved Dynamic Trip Equity
Ting Bai, Anni Li, Gehui Xu +2
This paper presents a dynamic routing guidance system that optimizes route recommendations for individual vehicles in an emerging transportation system while enhancing travelers' t…
Robust Optimal Lane-changing Control for Connected Autonomous Vehicles in Mixed Traffic
Anni Li, Andres S. Chavez Armijos, Christos G. Cassandras
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…
Towards Achieving Cooperation Compliance of Human Drivers in Mixed Traffic
Anni Li, Christos G. Cassandras
We consider a mixed-traffic environment in transportation systems, where Connected and Automated Vehicles (CAVs) coexist with potentially non-cooperative Human-Driven Vehicles (HDV…
Scalable Adaptive Traffic Light Control Over a Traffic Network Including Turns, Transit Delays, and Blocking
Yingqing Chen, Christos G. Cassandras
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 t…
Spline Trajectory Tracking and Obstacle Avoidance for Mobile Agents via Convex Optimization
Akua Dickson, Christos G. Cassandras, Roberto Tron
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 cons…
Performance-Guaranteed Solutions for Multi-Agent Optimal Coverage Problems using Submodularity, Curvature, and Greedy Algorithms
Shirantha Welikala, Christos G. Cassandras
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 maxi…
Optimal Sequencing and Motion Control in a Roundabout with Safety Guarantees
Yingqing Chen, Christos G. Cassandras, Kaiyuan Xu
This paper develops a controller for Connected and Automated Vehicles (CAVs) traversing a single-lane roundabout. The controller simultaneously determines the optimal sequence and…
Reinforcement Learning-based Receding Horizon Control using Adaptive Control Barrier Functions for Safety-Critical Systems
Ehsan Sabouni, H. M. Sabbir Ahmad, Vittorio Giammarino +3
Optimal control methods provide solutions to safety-critical problems but easily become intractable. Control Barrier Functions (CBFs) have emerged as a popular technique that facil…
Secure Control of Connected and Automated Vehicles Using Trust-Aware Robust Event-Triggered Control Barrier Functions
H M Sabbir Ahmad, Ehsan Sabouni, Akua Dickson +3
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 roadway…
Safe Optimal Interactions Between Automated and Human-Driven Vehicles in Mixed Traffic with Event-triggered Control Barrier Functions
Anni Li, Christos G. Cassandras, Wei Xiao
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 polici…
Optimal Control of Connected Automated Vehicles with Event-Triggered Control Barrier Functions: a Test Bed for Safe Optimal Merging
Ehsan Sabouni, H. M. Sabbir Ahmad, Wei Xiao +2
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…
Decentralized Optimal Merging Control for Connected and Automated Vehicles
Wei Xiao, Christos G. Cassandras
This paper addresses the optimal control of Connected and Automated Vehicles (CAVs) arriving from two roads at a merging point where the objective is to jointly minimize the travel…