Evaluation of travel time variability in new jersey turnpike - A case study

Bekir Bartin, Kaan Ozbay

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

Abstract

This paper deals with a case study where the objective is to identify the optimal subset of routes for real-time traveler information in a highway network. It is assumed that the benefit from providing this information is directly related to the uncertainty of route travel times. The variance of travel times within a time period over consecutive days is employed as the indicator of this uncertainty. New Jersey Turnpike is used as the study network due to the availability of vehicle-by-vehicle network specific data. The data set covers travel times between ∼630 origin-destination (OD) pairs during 2004. The problem of identifying the optimal number of subset of routes is modeled as a nonlinear integer-programming problem. The proposed model is then solved using NEOS server, a common optimization solver available over the Internet. A simple heuristic for the proposed model is also presented.

Original languageEnglish (US)
Title of host publicationProceedings of ITSC 2006
Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages665-670
Number of pages6
ISBN (Print)1424400945, 9781424400942
DOIs
StatePublished - 2006
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: Sep 17 2006Sep 20 2006

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Other

OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CountryCanada
CityToronto, ON
Period9/17/069/20/06

ASJC Scopus subject areas

  • Engineering(all)

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