Budgeting for the adoption of sensors on connected trains

Raj Bridgelall and Denver D. Tolliver

Transportation Planning and Technology, 2022, vol. 45, issue 1, 100-116

Abstract: Railroads can save significant sums of money by deploying multi-sensor track scanners on connected trains to detect track and roadbed problems that could cause accidents. However, uncertainties about performance and return-on-investment have impeded the development and deployment of such sensor systems. This research develops a budget model that both manufacturers and railroads can use to decide on a suitable trade-off between price affordability and achievable performance. A case study of five Class 1 railroads in the U.S. demonstrates that a payback within two years is achievable at U.S.$4000 per device and an annual maintenance cost of one-quarter of the system deployment cost.

Date: 2022
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DOI: 10.1080/03081060.2021.2017205

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