CAIT project no.: CAIT-UTC-REG 24
Fiscal Year: 2018/2019
Principal investigator(s): Trefor P. Williams, Ph.D. (PI), Rutgers; John F. Betak, Ph.D., Rutgers
Performing organization(s): Rutgers CAIT
Managing organization: Rutgers CAIT
In cooperation with: The Everett Railroad
Partner project manager: Jason Lamb, General Manager
Supported by: USDOT-OST-R
UTC, grant, or agreement no.: 69A3551847102
The fundamental problem with the amounts of data collected by railroads is that they have generally lacked tools and the capability to analyze these data to develop predictive models to improve decisions regarding maintenance, operations and capital investments that improve safety, service and, ultimately, overall profitability. The primary goal of this project is to develop a prototype system that complements and improves the current tools and Decision Support Systems (DSS) used by the cooperating railroads.
The intended outcome of the project is to develop a DSS and dashboard prototype system to support short line railroad in prioritizing maintenance activities, operational decisions and investment decisions.