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Budgeting for the adoption of sensors on connected trains

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  • Raj Bridgelall
  • Denver D. Tolliver

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.

Suggested Citation

  • Raj Bridgelall & Denver D. Tolliver, 2022. "Budgeting for the adoption of sensors on connected trains," Transportation Planning and Technology, Taylor & Francis Journals, vol. 45(1), pages 100-116, January.
    • Handle: RePEc:taf:transp:v:45:y:2022:i:1:p:100-116
    DOI: 10.1080/03081060.2021.2017205
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