A case for real-time calibration of data-driven microscopic traffic simulation tools

Dwayne Henclewood, Wonho Suh, Michael Rodgers, Michael Hunter, Richard Fujimoto

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

11 Scopus citations

Abstract

Despite recent technological advancements in alleviating roadway congestion, there is still a considerable amount of time and fuel wasted by travelers. In searching for solutions to mitigate congestion, a number of research efforts have been geared toward developing simulation tools to provide real-time performance measures. One of the challenges of such tools is that the underlying simulation model does not always adequately reflect field conditions outside of the time period for which it was calibrated. In this paper, this is highlighted when calibrating a model for two different periods. During this exercise, 1000 model replicates were generated to explore the sensitivity of potential calibration parameter values. From this analysis only one replicate was found to be adequately calibrated for both periods. This paper suggests that a real-time calibration algorithm should be included in online, data-driven microscopic traffic simulation tools.

Original languageEnglish
Title of host publicationProceedings of the 2012 Winter Simulation Conference, WSC 2012
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 Winter Simulation Conference, WSC 2012 - Berlin, Germany
Duration: Dec 9 2012Dec 12 2012

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736

Conference

Conference2012 Winter Simulation Conference, WSC 2012
Country/TerritoryGermany
CityBerlin
Period12/9/1212/12/12

Fingerprint

Dive into the research topics of 'A case for real-time calibration of data-driven microscopic traffic simulation tools'. Together they form a unique fingerprint.

Cite this