Route optimization for energy efficient airport shuttle operations – A case study from Dallas Fort worth International Airport
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
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. In this work, 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.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Office of Energy Efficiency and Renewable Energy (EERE), Transportation Office. Vehicle Technologies Office; Dallas Fort-Worth International Airport (DFW)
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 1784900
- Alternate ID(s):
- OSTI ID: 1781423
OSTI ID: 1894868
- Report Number(s):
- NREL/JA--2C00-77953; MainId:31862; UUID:119dd539-5b25-4a79-9603-86eee5bd593d; MainAdminID:24508
- Journal Information:
- Journal of Air Transport Management, Journal Name: Journal of Air Transport Management Vol. 94; ISSN 0969-6997
- Publisher:
- Butterworth-HeinemannCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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