Delay variability optimization using shockwave theory at an undersaturated intersection

Reza Mohajerpoor, Meead Saberi, Mohsen Ramezani

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

2 Citations (Scopus)

Abstract

Signal optimization is one of the most crucial problems in the traffic flow theory. Delay at signalized intersections is the main component of travel time in urban transportation networks. This paper investigates an analytical approach based on the shockwave theory to estimate the delay of each vehicle joining the queue, and minimize the total delay and delay variability at an undersaturated intersection. The optimizations are carried out for an intersection with and without loss time and are formulated as convex programs. The global optimal cycle length and splits are attained to minimize the delay variability.

Original languageEnglish
Title of host publicationIFAC-PapersOnLine
Subtitle of host publication20th IFAC World Congress
EditorsDenis Dochain, Didier Henrion, Dimitri Peaucelle
Place of PublicationAmsterdam Netherlands
PublisherElsevier - International Federation of Automatic Control (IFAC)
Pages5289-5294
Number of pages6
Volume50
Edition1
DOIs
Publication statusPublished - 1 Jul 2017
EventInternational Federation of Automatic Control World Congress 2017 - Toulouse, France
Duration: 9 Jul 201714 Jul 2017
Conference number: 20th
https://www.ifac2017.org/

Publication series

NameIFAC-PapersOnLine
PublisherElsevier - International Federation of Automatic Control (IFAC)
Number1
Volume50
ISSN (Print)2405-8963

Conference

ConferenceInternational Federation of Automatic Control World Congress 2017
Abbreviated titleIFAC 2017
CountryFrance
CityToulouse
Period9/07/1714/07/17
Internet address

Keywords

  • convex optimization
  • Delay distribution
  • fundamental diagram
  • travel time reliability

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