An optimization methodology for applying emission reduction strategies to state owned non‐road equipment fleet

This study develops an optimization methodology to help a US state department of transportation apply emission reduction strategies to its non‐road equipment fleet within a budget limit. In the optimization problem, the decision variables are integer arguments representing whether a strategy applied to a fleet minimizes total costs taking into account different air qualities at county levels. The methodology is demonstrated in the case study of Texas Department of Transportation. Compared with the existing methodology, the one proposed can address a problem with a more flexible budget.