Preliminary Transportation Asset Management Framework for the Electric Road System

Kamalen Maria Santos Diaz, University of Texas at El Paso


Electric road systems (ERS) have been presented as a new solution towards a sustainable transportation future, fueling the widespread adoption of electric vehicles by eliminating range anxiety, reducing battery size, and being regional friendly. These systems consist of four components: electric power supply, roads, vehicles, and operations. Much of the early research conducted on ERS has been on how to initially construct these systems by focusing on the first three components, however, there is limited knowledge on how ERS will impact traditional road operations after the systems are in place. Transportation Asset Management (TAM), a major focus within the transportation industry, provides a methodical approach for the operation, maintenance, and improvement of road systems in a cost-effective manner. The Federal Highway Administration (FHWA) developed the Highway Economic Requirements System State Version (HERS-ST) to support TAM principles by providing a framework that explores the relationship between levels of investment and performance of highway systems. The exploration of that relationship is fundamental to the successful implementation of any new transportation infrastructure, including ERS. This study aims to develop a dynamic TAM framework for ERS modeled after HERS-ST that evaluates the economic impacts of ERS based on its long-term performance. The results of this study will provide a foundation for the economical maintenance and operations of ERS to ensure performance optimization of its lifetime. This study can also be used to anticipate how HERS-ST will need to be modified to accommodate new assets within the transportation industry.

Subject Area

Civil engineering|Sustainability|Management|Transportation

Recommended Citation

Santos Diaz, Kamalen Maria, "Preliminary Transportation Asset Management Framework for the Electric Road System" (2022). ETD Collection for University of Texas, El Paso. AAI30242507.