@inproceedings{402a449778464fda9aa4e0b7aa9adcbc,
title = "Joint perimeter and signal control of urban traffic via network utility maximization",
abstract = "With the ongoing rise of demand in traffic networks, congestion control has become of major importance for urban areas. In this paper, we introduce the notion of network utility maximization for boundary flow control of urban networks. We describe how maximizing the aggregate utility of the network leads to a fair allocation of network resources to different arrivals while maintaining system stability. We demonstrate how utility maximization problem can be solved using Alternating Direction Method of Multipliers (ADMM). We further show how our algorithm can be partially distributed such that each entry link finds its arrival for maximizing its own objective while maximizing the total utility of the network. We showcase the performance of our algorithm in an example illustrating fast convergence of our method and its capability in stabilizing the network.",
author = "Negar Mehr and Jennie Lioris and Roberto Horowitz and Ramtin Pedarsani",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017 ; Conference date: 16-10-2017 Through 19-10-2017",
year = "2018",
month = mar,
day = "14",
doi = "10.1109/ITSC.2017.8317837",
language = "English (US)",
series = "IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--6",
booktitle = "2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017",
address = "United States",
}