most citedCoping with Large Traffic Volumes in Schedule-Driven Traffic Signal Control

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI20221 cited

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…

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…