Estimating Customer Service Times on a Rail Network from GPS Data
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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. Springer Science+Business Media New York 2013.
Springer Proceedings in Mathematics and Statistics
author list (cited authors)
Spanton, S. M., & Geunes, J.