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Published in:
Numerical Computations with Infinite and Infinitesimal Numbers: Theory and Applications Read chapter Read first chapter

2013 | OriginalPaper | Chapter

Estimating Customer Service Times on a Rail Network from GPS Data

Authors : Shantih M. Spanton, Joseph Geunes

Published in: Dynamics of Information Systems: Algorithmic Approaches

Publisher: Springer New York

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Abstract

A key input to managing and scheduling customer service on a rail network is an accurate characterization of the time a particular train takes to serve a customer, based on the quantity of work the customer requires. The algorithm presented here estimates the customer service times of a train on a given day utilizing global positioning system (GPS) data from train locomotives, the known customers to be served on the day and some geographic knowledge of the customer’s tracks. The algorithm was built and evaluated on real data sets provided by CSX. This research was conducted as a joint effort between the University of Florida in Gainesville, FL and CSX Transportation, Inc. in Jacksonville, Florida.

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previous chapter Dynamic Composition and Analysis of Modern Service-Oriented Information Systems
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Metadata
Title
Estimating Customer Service Times on a Rail Network from GPS Data
Authors
Shantih M. Spanton
Joseph Geunes
Copyright Year
2013
Publisher
Springer New York
Book
Dynamics of Information Systems: Algorithmic Approaches

Print ISBN: 978-1-4614-7581-1

Electronic ISBN: 978-1-4614-7582-8

Copyright Year: 2013

DOI
https://doi.org/10.1007/978-1-4614-7582-8_3

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