Simulation Evaluation of a Large-Scale Implementation of Virtual-Phase Link–Based Model Predictive Control-Reference-Cited by-同舟云学术

Simulation Evaluation of a Large-Scale Implementation of Virtual-Phase Link–Based Model Predictive Control

Published:2024-09 Issue:9 Volume:150 Page:
ISSN:2473-2907
Container-title:Journal of Transportation Engineering, Part A: Systems
language:en
Short-container-title:J. Transp. Eng., Part A: Systems

Author:

Shams Andalib¹^ORCID,Wang Qichao²^ORCID,Ugirumurera Juliette³,Severino Joseph⁴,Jones Wesley⁵,Sanyal Jibonananda⁶

Affiliation:

1. Transportation System Research Assistant, National Renewable Energy Lab (NREL), 15033 Denver West Parkway, Golden, CO 80401. ORCID: .

2. Computational Transportation Scientist, National Renewable Energy Lab (NREL), 15033 Denver West Parkway, Golden, CO 80401 (corresponding author). ORCID: .

3. Researcher IV-Computational Science, National Renewable Energy Lab (NREL), 15033 Denver West Parkway, Golden, CO 80401.

4. Researcher II-Computational Science, National Renewable Energy Lab (NREL), 15033 Denver West Parkway, Golden, CO 80401.

5. Group Manager and Principal Scientist, National Renewable Energy Lab (NREL), 15033 Denver West Parkway, Golden, CO 80401.

6. Group Manager III-Systems Engineering, National Renewable Energy Lab (NREL), 15033 Denver West Parkway, Golden, CO 80401.

Publisher

American Society of Civil Engineers (ASCE)

Link

https://ascelibrary.org/doi/pdf/10.1061/JTEPBS.TEENG-8079

Reference50 articles.

1. A rolling-horizon quadratic-programming approach to the signal control problem in large-scale congested urban road networks

2. Distributed coordinated signal timing optimization in connected transportation networks;Al Islam S. M. A. B.;Transp. Res. Part C Emerging Technol.,2017

3. Reinforcement learning-based multi-agent system for network traffic signal control

4. Urban traffic signal control using reinforcement learning agents;Balaji P.;IET Intell. Transp. Syst.,2010

5. Bynum, M. L., G. A. Hackebeil, W. E. Hart, C. D. Laird, B. L. Nicholson, J. D. Siirola, J.-P. Watson, and D. L. Woodruff. 2021. Pyomo—Optimization modeling in Python. New York: Springer.