Freight Fleet Management Problem: Evaluation of a Truck Utilization Rate Based on Agent Modeling

Abstract

The article deals with the problem of estimating the rational number and utilization rate of the vehicles' fleet. According to the analysis results of the state-of-the-art literature it has been revealed that the issue of substantiating the rational fleet size and the rate of its utilization were not fully solved. The purpose of the study was to increase the efficiency of servicing transportation orders by determining the required number of vehicles. The goal of the research was the influence of the transportation process parameters on the truck utilization rate. Originating from the probabilistic nature of the transportation process, it has been proposed to use the AnyLogic software product to develop a simulation model for vehicle orders' servicing. From the processing of the experimental results by the regression analysis methods, it has been found that the dependence of changes in the vehicle utilization rate is of a linear form.

The Optimal Size of a Heterogeneous Air Taxi Fleet in Advanced Air Mobility: A Traffic Demand and Flight Scheduling Approach

“…Sha and Srinivasan [58] present an agent-based model that considers the independent decision-making and interactions across different supply chain operations and demonstrate that fleet size significantly impacts the performance of the supply chain including customer satisfaction. By the probabilistic nature of freight transportation processes, Samchuk et al [59] use simulation runs to investigate the service quality depending on the number of vehicles and assess the resulting truck utilization rate. A similar methodology is used by Valmiki et al [60] and Saprykin et al [61], who determine the optimal fleet size for automated vehicles or taxi fleets, respectively, based on achieving a targeted service quality.…”

Exploring Empty Truck Behavior Using One-Year Probe Vehicle Data

“…Rodrigues and Santos [3] developed a combinatorial optimization problem to reduce the number of empty trucks in Brazil, and the results revealed a decrease in empty trucks and environmental emissions. Samchuk et al [4] developed a regression model to determine the empty truck rate based on trip distance, truck size, and freight volume. A mathematical model was developed to reduce the number of port-related empty trucks [5,6].…”