Bridgelall, RajTolliver, Denver D.2021-08-032021-08-032020Bridgelall, Raj and Denver Tolliver. "Closed Form Models to Assess Railroad Technology Investments." Transportation Planning and Technology, DOI:10.1080/03081060.2020.1805541, 43(7), August 11, 2020.10.1080/03081060.2020.1805541https://hdl.handle.net/10365/31972Raj Bridgelall is the program director for the Upper Great Plains Transportation Institute (UGPTI) Center for Surface Mobility Applications & Real-time Simulation environments (SMARTSeSM).Class I railroads in North America collectively invested $11.2 billion to comply with a federal mandate to deploy positive train control. This amount dwarfs the potential savings from accidents the technology could prevent. Therefore, railroads must seek additional benefits. This research contributes simple closed-form models to inform strategies that can leverage the technology deployment by estimating the annual additional net benefits, internal rate of return, and benefit-cost ratio needed for a desired payback period.en-USIn copyright. Permission to make this version available has been granted by the author and publisher.http://rightsstatements.org/vocab/InC/1.0/Benefit-cost analysis.Internal rate of return.Non-destructive evaluation.Payback period.Positive train control.Railroad safety.Closed Form Models to Assess Railroad Technology InvestmentsArticle0000-0003-3743-66520000-0002-8522-9394