Offset Selection for Bandwidth Maximization on Multiple Routes

Negar Mehr, Marc Sanselme, Nitzan Orr, Roberto Horowitz, Gabriel Gomes

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

Abstract

We consider the problem of offset selection for fixed-time signals in a network of arbitrary shape so as to increase the bandwidths that vehicles on multiple routes receive. Assuming that all signals have a common cycle, we utilize the concept of relative path offsets and formulate the problem of maximizing a weighted sum of path bandwidths. This leads to a nonlinear optimization problem. We demonstrate how this problem can be converted to a mixed-integer linear program; hence, providing a scalable computational framework. Our approach is in fact a generalization of a previous method in which the single arterial problem was found to be equivalent to a linear program, and is distinct from the traditional formulation as a mixed-integer program. We further show the practicality of our approach in a case study of a traffic network in San Diego, California.

Original languageEnglish (US)
Title of host publication2018 Annual American Control Conference, ACC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6366-6371
Number of pages6
ISBN (Print)9781538654286
DOIs
StatePublished - Aug 9 2018
Externally publishedYes
Event2018 Annual American Control Conference, ACC 2018 - Milwauke, United States
Duration: Jun 27 2018Jun 29 2018

Publication series

NameProceedings of the American Control Conference
Volume2018-June
ISSN (Print)0743-1619

Other

Other2018 Annual American Control Conference, ACC 2018
CountryUnited States
CityMilwauke
Period6/27/186/29/18

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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