Route optimization for energy efficient airport shuttle operations – A case study from Dallas Fort worth International Airport

Devon Sigler, Qichao Wang, Zhaocai Liu, Venu Garikapati, Andrew Kotz, Kenneth J. Kelly, Monte Lunacek and Caleb Phillips

Journal of Air Transport Management, 2021, vol. 94, issue C

Abstract: The objective of this research is to reduce energy consumption from intra airport shuttle operations by optimizing routes and schedules, without compromising on passenger travel experience. To achieve this objective, we propose an optimization model that generates optimal airport shuttle routes for a given set of constraints and a discrete-event simulator that evaluates the optimal shuttle routes in a stochastic environment to understand the tradeoffs between the amount of time passengers wait for shuttles, and shuttle energy consumption. The proposed optimization model and stochastic simulation are tested using shuttle route data provided by the Dallas Fort Worth International Airport. Results indicate that optimized routes can lead to a 20% energy reduction in shuttle operations with a modest 2-min increase in average shuttle wait times. The optimization model and simulator presented here are designed to be generalizable and can be adapted to optimize shuttle operations at any major airport.

Keywords: Air travel; Bus schedule optimization; Energy efficiency; Airport shuttles; Discrete event simulation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:jaitra:v:94:y:2021:i:c:s0969699721000600

DOI: 10.1016/j.jairtraman.2021.102077

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