A COST MEASUREMENT APPROACH FOR TRAFFIC LANES AND ROADWAY THICKNESS IN HIGHWAY INFRASTRUCTURE ASSET MANAGEMENT

摘要

The most important policy study conducted by the Federal Highway Administration (FHWA) and state Department of Transportation (DOT) agencies in the area of surface transportation infrastructure management is known as the Highway Cost Allocation (HCA) study. An HCA study is performed by state and federal highway authorities to evaluate whether road users classified as vehicle classes are paying their fair share of highway cost responsibility. The objective of HCA study is to distribute a highway cost among all vehicle classes on the basis of their consumption of roadway thickness (pavement) and traffic capacity (lanes). An HCA method must be able to allocate cost by taking into consideration all primary categories of cost being imposed by road users. We propose to consider the Equivalent Single Axle Loads (ESAL) used to determine pavement thickness and the number of lanes for capacity are considered as two types of players for which the discrete A-S values can be calculated. These values in turn allow the calculation of the costs allocated to all the vehicle classes using a facility with known ESALs. The lanes are divided among vehicle classes using Shapley Value. The implementation of discrete A-S value allows delineation of highway cost into cost of pavement thickness and cost for traffic lanes. The purpose of this paper is to demonstrate efficacy of a new method that generates a unique allocation by combining concepts of discrete A-S value into a least core based linear programming model. The final cost allocation will be shown to hold a strong fair-division property that only one solution can satisfy.