Spring 2014 (Vol. 53, No. 1)

An Optimization Approach Applied to Fair Division Transportation Funding Allocation Models

Abstract

The problem of multiple necessities and limited funds is common in the transportation field. Funding allocation for a transportation agency often involves prioritizing the allocation of funds across a number of participants who have their own needs and preferences. If a participant believes that the final allocation is unfair, then this perception could result in the generation of envy. In this paper, a genetic optimization technique is applied to a Fair Division Transportation Funding Allocation Model (FDTFAM) to minimize the total envy based on the participant’s own priorities and the budget constraints.

by Carlos M. Chang and Edith Montes

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