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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorBan, Xuegang
dc.contributorHolguín-Veras, José
dc.contributorWang, Xiaokun (Cara)
dc.contributor.authorRichardson, Eric Samuel
dc.date.accessioned2021-11-03T08:03:09Z
dc.date.available2021-11-03T08:03:09Z
dc.date.created2014-01-16T11:27:55Z
dc.date.issued2013-08
dc.identifier.urihttps://hdl.handle.net/20.500.13015/952
dc.descriptionAugust 2013
dc.descriptionSchool of Engineering
dc.description.abstractMany previous efforts have been made to use global positioning system (GPS) data gathered from mobile units to measure freight network performance. While the majority of these previous works were instrumental in establishing the technical reliability of GPS information and using that information to measure basic network performance, there have been fewer attempts to measure performance specific to freight networks, specifically to classify stops (i.e. stops for deliveries, unscheduled stops and traffic stops). In this master's thesis I will demonstrate my efforts to define new, freight-specific, performance measures and some of the advanced algorithms used to quantify the relevant data.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectTransportation engineering
dc.titleDefining and evaluating freight performance metrics using GPS data
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid170027
dc.digitool.pid170028
dc.digitool.pid170029
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Civil and Environmental Engineering


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