Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data

An airport ferry vehicle is a ground service vehicle used to transfer passengers between the far apron and the terminal. The travel time of ferry tasks in the airport ferry network is an important decision-making basis for ferry vehicle scheduling. This paper presents a graph-based method to mine th...

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Autores principales:	Cong Ding, Jun Bi, Dongfan Xie, Xiaomei Zhao, Yi Liu
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/4814c592832a456984c4be6ebd435033
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id	oai:doaj.org-article:4814c592832a456984c4be6ebd435033
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spelling	oai:doaj.org-article:4814c592832a456984c4be6ebd4350332021-11-08T02:36:46ZMining Travel Time of Airport Ferry Network Based on Historical Trajectory Data2042-319510.1155/2021/9231451https://doaj.org/article/4814c592832a456984c4be6ebd4350332021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/9231451https://doaj.org/toc/2042-3195An airport ferry vehicle is a ground service vehicle used to transfer passengers between the far apron and the terminal. The travel time of ferry tasks in the airport ferry network is an important decision-making basis for ferry vehicle scheduling. This paper presents a graph-based method to mine the travel time between nodes in the airport ferry network. Firstly, combined with map and trajectory information, the method takes the terminal boarding gates, parking lots, and remote stands as road network nodes to build a complete airport ferry road network. Then, this paper uses big data processing technology to identify the travel time between regional connection nodes by data fusion through the temporal and spatial relationship between flight schedule and ferry vehicle GPS travel trajectory. Finally, the Floyd shortest path algorithm in graph theory is used to obtain the shortest path and travel time of all OD points. The experimental results show that all the ferry times calculated by the method proposed in this paper can better reflect the actual driving situation. This method saves the manpower, material resources, and time cost of on-site investigation and lays a foundation for the scheduling of ferry vehicles.Cong DingJun BiDongfan XieXiaomei ZhaoYi LiuHindawi-WileyarticleTransportation engineeringTA1001-1280Transportation and communicationsHE1-9990ENJournal of Advanced Transportation, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Transportation engineering TA1001-1280 Transportation and communications HE1-9990
spellingShingle	Transportation engineering TA1001-1280 Transportation and communications HE1-9990 Cong Ding Jun Bi Dongfan Xie Xiaomei Zhao Yi Liu Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data
description	An airport ferry vehicle is a ground service vehicle used to transfer passengers between the far apron and the terminal. The travel time of ferry tasks in the airport ferry network is an important decision-making basis for ferry vehicle scheduling. This paper presents a graph-based method to mine the travel time between nodes in the airport ferry network. Firstly, combined with map and trajectory information, the method takes the terminal boarding gates, parking lots, and remote stands as road network nodes to build a complete airport ferry road network. Then, this paper uses big data processing technology to identify the travel time between regional connection nodes by data fusion through the temporal and spatial relationship between flight schedule and ferry vehicle GPS travel trajectory. Finally, the Floyd shortest path algorithm in graph theory is used to obtain the shortest path and travel time of all OD points. The experimental results show that all the ferry times calculated by the method proposed in this paper can better reflect the actual driving situation. This method saves the manpower, material resources, and time cost of on-site investigation and lays a foundation for the scheduling of ferry vehicles.
format	article
author	Cong Ding Jun Bi Dongfan Xie Xiaomei Zhao Yi Liu
author_facet	Cong Ding Jun Bi Dongfan Xie Xiaomei Zhao Yi Liu
author_sort	Cong Ding
title	Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data
title_short	Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data
title_full	Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data
title_fullStr	Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data
title_full_unstemmed	Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data
title_sort	mining travel time of airport ferry network based on historical trajectory data
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/4814c592832a456984c4be6ebd435033
work_keys_str_mv	AT congding miningtraveltimeofairportferrynetworkbasedonhistoricaltrajectorydata AT junbi miningtraveltimeofairportferrynetworkbasedonhistoricaltrajectorydata AT dongfanxie miningtraveltimeofairportferrynetworkbasedonhistoricaltrajectorydata AT xiaomeizhao miningtraveltimeofairportferrynetworkbasedonhistoricaltrajectorydata AT yiliu miningtraveltimeofairportferrynetworkbasedonhistoricaltrajectorydata
_version_	1718443089899552768

Mining Travel Time of Airport Ferry Network Based on Historical Trajectory Data

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