NDLI: Determining the Optimal Configuration of Highway Routes for Real-Time Traffic Information: A Case Study

Content Provider	IEEE Xplore Digital Library
Author	Bartin, B. Ozbay, K.
Copyright Year	2000
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 of 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. The 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 the Network-Enabled Optimization Software server, which is a common optimization solver that is available over the Internet. A simple heuristic for the proposed model is also presented.
Sponsorship	IEEE Intelligent Transportation Systems Society
Starting Page	225
Ending Page	231
Page Count	7
File Size	888660
File Format	PDF
ISSN	15249050
Volume Number	11
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Road transportation Uncertainty Telecommunication traffic System performance Information systems Vehicles Intelligent transportation systems Network servers Web server IP networks traveler information systems Integer programming traffic transportation travel time travel time variability
Content Type	Text
Resource Type	Article
Subject	Automotive Engineering Mechanical Engineering Computer Science Applications

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