Abstract. Any organization that moves cargo and people needs to decide how many platforms it needs to accomplish its varied tasks. In this paper, we develop ...

The SaFE model is a Monte Carlo-based simulation that uses task frequency, duration and task-assigned platform information to determine what fleet can ...

Abstract: We introduce an evolutionary computation framework using genetic algorithms to optimize the Stochastic Fleet Estimation (SaFE) model.

Abstract: We introduce an evolutionary computation framework using genetic algorithms to optimize the Stochastic Fleet Estimation (SaFE) model.

The Stochastic Fleet Estimation (SaFE) model was devised to estimate the size and composition of an average fleet of platforms, based on task requirements ...

SaFESST is a bin-packing model which uses a fleet configuration (the assignment of specific platforms to each of the tasks) to fit each task from a scenario ...

The Stochastic Fleet Estimation under Steady State Tasking (SaFESST) model is introduced to determine which tasks will not be achievable and results are ...

This paper introduces a stochastic technology and fleet assessment framework, STEP (Stochastic Transport. Emissions Policy Model), which determines the ...

The objective of SCARP is to find a solution for which the variations due to the random event realizations in the number of trips (and the cost) are minimum.

This study aims to develop a stochastic framework and an optimization algorithm to find the optimum market shares of CVs and AVs in a mixed traffic environment.