Using Regional Freight Traffic Assignment Modeling to Quantify the Variability of Pavement Damage for Highway Cost Allocation and Revenue Analysis.

摘要

Using Regional Freight Traffic Assignment Modeling to Quantify the Variability of Pavement Damage for Highway Cost Allocation and Revenue Introduction indicative of a vibrant economy, large volumes of freight traffic have been associated with accelerated wear of pavements particularly. In seeking to adopt operational policies that reduce undue deterioration of their infrastructure, state highway agencies in the United States strive to quantify the damage caused by vehicle loads so that it is possible to update loading polices and to implement fee structures that are commensurate with the pavement damage.An INGOT-commissioned research study, SPR 3502, provilogy ded a methodoto estimate the pavement damage costs. That study reported these costs on the basis of system wide average levels of traffic loading. In reality, however, traffic loading and climatic severity at specific road segments can differ significantly from what their system wide averages suggest. This Nextrans study therefore investigated the issue of pavement damage cost estimation from a purely disaggregated level in order to establish potentially more reliable estimates of pavement damage costs. It is envisaged that doing so would not only increase the efficiency and effectiveness but also would enhance equity in the highway cost allocation and revenue generation.