most citedArtificial Intelligence for Social Good

68 citations · 75 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO20191 cited

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…

cs.AI20192 cited

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…

cs.AI20193 cited

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,…

cs.NI20191 cited

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…

cs.CY201968 cited

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…