Measurement of Driving Conditions of Aircraft Ground Support Equipment at Tokyo International Airport

With the global increase in air transport demand, the shortage of ground handling personnel to support ground operations at airports has become a major challenge, impacting airport services and causing considerable flight delays. This study presents a novel method to generate trip data that specify the origin and destination locations as the purpose of travel for each ground support equipment (GSE) vehicle. The proposed method uses data obtained from comprehensive observations of 2234 GSE vehicles over a 24 h × 7 d time interval at Tokyo International Airport. From these observations and trip data, the characteristics of the driving conditions for each GSE vehicle type, the locations where GSE traffic volume increases in the airport, and changes in the time interval are identified. The primary results show that the GSE traffic volume is the highest mainly around passenger terminals and in the vehicle corridors connecting these terminals, which aligns with the airport’s operational status. Investigating GSE driving conditions, such as the traffic flow throughout an airport, can provide valuable data to improve the efficiency of GSE scheduling and facilitate the introduction of automated driving technology.

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Publication Details

Journal
Aerospace
Published
2024-10-24
DOI
https://doi.org/10.3390/aerospace11110873
Primary Topic
Air Traffic Management and Optimization
Type
article
Field-Weighted Citation Impact
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article

Measurement of Driving Conditions of Aircraft Ground Support Equipment at Tokyo International Airport

Yuka Kuroda, Shinya Hanaoka, Satoshi Sato
Aerospace
Air Traffic Management and Optimization
article

Measurement of Driving Conditions of Aircraft Ground Support Equipment at Tokyo International Airport

Yuka Kuroda, Shinya Hanaoka, Satoshi Sato
article en

Abstract

With the global increase in air transport demand, the shortage of ground handling personnel to support ground operations at airports has become a major challenge, impacting airport services and causing considerable flight delays. This study presents a novel method to generate trip data that specify the origin and destination locations as the purpose of travel for each ground support equipment (GSE) vehicle. The proposed method uses data obtained from comprehensive observations of 2234 GSE vehicles over a 24 h × 7 d time interval at Tokyo International Airport. From these observations and trip data, the characteristics of the driving conditions for each GSE vehicle type, the locations where GSE traffic volume increases in the airport, and changes in the time interval are identified. The primary results show that the GSE traffic volume is the highest mainly around passenger terminals and in the vehicle corridors connecting these terminals, which aligns with the airport’s operational status. Investigating GSE driving conditions, such as the traffic flow throughout an airport, can provide valuable data to improve the efficiency of GSE scheduling and facilitate the introduction of automated driving technology.

AerospaceVol. 11(11)
Mitsubishi Research Institute (Japan) (JP), Tokyo Institute of Technology (JP), National Institute for Land and Infrastructure Management (JP)
Openalex Percentile: Top 71%
Air Traffic Management and Optimization
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Measurement of Driving Conditions of Aircraft Ground Support Equipment at Tokyo International Airport — Yuka Kuroda, Shinya Hanaoka, et al. · Aerospace (2024) | TGRS Research Map | TGRS