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Found 11 papers, 0 papers with code
Safe Human-UAS Collaboration Abstraction
The second objective is then to plan the motion of the UAS in a resilient and safe manner, in the presence of non-cooperative human co-workers.
Online Equitable Ride-sharing Car Distribution in a Congested Traffic
The usability of ride-sharing services like Uber and Lyft has been considerably improved by advancements in cellular communications.
Deep and Decentralized Multi-Agent Coverage of a Target with Unknown Distribution
This paper proposes a new architecture for multi-agent systems to cover an unknowingly distributed fast, safely, and decentralizedly.
Can a Laplace PDE Define Air Corridors through Low-Altitude Airspace?
This paper develops a high-density air corridor traffic flow model for Uncrewed Aircraft System (UAS) operation in urban low altitude airspace.
Multi-Agent Coordination Fluid Flow Modeling and Experimental Evaluation
Reliability is a critical aspect of multi-agent system coordination as it ensures that the system functions correctly and consistently.
A Finite-State Fixed-Corridor Model for UAS Traffic Management
We apply the proposed traffic management solution to plan safe coordination of small UAS in the airspace above downtown Tucson, Arizona.
A Concurrent Switching Model for Traffic Congestion Control
We introduce a new conservation-based approach for traffic coordination modeling and control in a network of interconnected roads (NOIR) with switching movement phase rotations at every NOIR junction.
A Physics-Based Data-Driven Approach for Finite Time Estimation of Pandemic Growth
COVID-19 is a global health crisis that has had unprecedented, widespread impact on households across the United States and has been declared a global pandemic on March 11, 2020 by World Health Organization (WHO) [1].
Boundary Control of Traffic Congestion Modeled as a Non-stationary Stochastic Process
The success of the proposed traffic boundary control is demonstrated by simulation of traffic congestion control in Center City Philadelphia.
Conservation-Based Modeling and Boundary Control of Congestion with an Application to Traffic Management in Center City Philadelphia
By classifying the streets as inlets, outlets, and interior nodes, the model predictive control (MPC) method is applied to alleviate the network traffic congestion by optimizing the traffic inflow and outflow across the boundary of the NOIR with consideration of the inner traffic dynamics as a stochastic process.
A Data-Driven Approach for Autonomous Motion Planning and Control in Off-Road Driving Scenarios
This paper presents a novel data-driven approach to vehicle motion planning and control in off-road driving scenarios.
