68 citations · 131 across the 10 of their papers we have counts for
10 papers
Lifelong Scalable Multi-Agent Realistic Testbed and A Comprehensive Study on Design Choices in Lifelong AGV Fleet Management Systems
Jingtian Yan, Yulun Zhang, Zhenting Liu +5
We present Lifelong Scalable Multi-Agent Realistic Testbed (LSMART), an open-source simulator to evaluate any Multi-Agent Path Finding (MAPF) algorithm in a Fleet Management System…
Connection-Based Scheduling for Real-Time Intersection Control
Hsu-Chieh Hu, Joseph Zhou, Gregory J. Barlow +1
We introduce a heuristic scheduling algorithm for real-time adaptive traffic signal control to reduce traffic congestion. This algorithm adopts a lane-based model that estimates th…
Cooperative Schedule-Driven Intersection Control with Connected and Autonomous Vehicles
Hsu-Chieh Hu, Stephen F. Smith, Rick Goldstein
Recent work in decentralized, schedule-driven traffic control has demonstrated the ability to improve the efficiency of traffic flow in complex urban road networks. In this approac…
Using Bi-Directional Information Exchange to Improve Decentralized Schedule-Driven Traffic Control
Hsu-Chieh Hu, Stephen F. Smith
Recent work in decentralized, schedule-driven traffic control has demonstrated the ability to improve the efficiency of traffic flow in complex urban road networks. In this approac…
Coping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control
Hsu-Chieh Hu, Stephen F. Smith
Recent work in decentralized, schedule-driven traffic control has demonstrated the ability to significantly improve traffic flow efficiency in complex urban road networks. However,…
Softpressure: A Schedule-Driven Backpressure Algorithm for Coping with Network Congestion
Hsu-Chieh Hu, Stephen F. Smith
We consider the problem of minimizing the delay of jobs moving through a directed graph of service nodes. In this problem, each node may have several links and is constrained to se…
Artificial Intelligence for Social Good
Gregory D. Hager, Ann Drobnis, Fei Fang +8
The Computing Community Consortium (CCC), along with the White House Office of Science and Technology Policy (OSTP), and the Association for the Advancement of Artificial Intellige…
Design of a GIS-based Assistant Software Agent for the Incident Commander to Coordinate Emergency Response Operations
Reza Nourjou, Michinori Hatayama, Stephen F. Smith +2
Problem: This paper addresses the design of an intelligent software system for the IC (incident commander) of a team in order to coordinate actions of agents (field units or robots…
New Techniques for Algorithm Portfolio Design
Matthew Streeter, Stephen F. Smith
We present and evaluate new techniques for designing algorithm portfolios. In our view, the problem has both a scheduling aspect and a machine learning aspect. Prior work has large…
How the Landscape of Random Job Shop Scheduling Instances Depends on the Ratio of Jobs to Machines
S. F. Smith, M. J. Streeter
We characterize the search landscape of random instances of the job shop scheduling problem (JSP). Specifically, we investigate how the expected values of (1) backbone size, (2) di…