Joint perimeter and signal control of urban traffic via network utility maximization

Negar Mehr, Jennie Lioris, Roberto Horowitz, Ramtin Pedarsani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publication2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538615256
DOIs
StatePublished - Mar 14 2018
Externally publishedYes
Event20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017 - Yokohama, Kanagawa, Japan
Duration: Oct 16 2017Oct 19 2017

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
Volume2018-March

Other

Other20th IEEE International Conference on Intelligent Transportation Systems, ITSC 2017
CountryJapan
CityYokohama, Kanagawa
Period10/16/1710/19/17

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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  • Cite this

    Mehr, N., Lioris, J., Horowitz, R., & Pedarsani, R. (2018). Joint perimeter and signal control of urban traffic via network utility maximization. In 2017 IEEE 20th International Conference on Intelligent Transportation Systems, ITSC 2017 (pp. 1-6). (IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC; Vol. 2018-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITSC.2017.8317837