GPS-Derived measures of freight trucks for rest areas: a case-study based analysis

Ahmed Karam Abdelfattah Mostafa; Thorbjørn Martens Illemann; Kristian Hegner Reinau

doi:10.1109/IEEM45057.2020.9309748

GPS-Derived measures of freight trucks for rest areas: a case-study based analysis

Ahmed Karam Abdelfattah Mostafa, Thorbjørn Martens Illemann, Kristian Hegner Reinau

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

1 Citation (Scopus)

Abstract

Comprehensive knowledge on how freight trucks utilize rest areas along motorways is essential to prioritize effectively which rest areas need expansion and to decide on where to add new rest areas. Private logistics companies daily archive a large amount of GPS data from trucks that can provide knowledge on the usage patterns of rest areas. This paper presents a methodology to collect and process GPS data from logistics companies to aid public authorities in planning road infrastructures. The developed methodology combines a database management system implemented by PostgreSQL with PostGIS and a MATLAB code. The database system is used to collect and store the GPS data from logistics companies. The MATLAB code implements a systematic procedure to process the GPS data and extract parking statistics, such as average length of truck stay, number of parked trucks, and spatial analyses of the parked truck locations. The methodology is applied to a rest area using GPS data from two large Danish logistics companies. The results show the potentials of GPS truck data to understand the truck parking patterns.

Original language	English
Title of host publication	2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020)
Number of pages	5
Publisher	IEEE
Publication date	2020
Pages	939-943
Article number	9309748
ISBN (Print)	978-1-5386-7221-1
ISBN (Electronic)	978-1-5386-7220-4
DOIs	https://doi.org/10.1109/IEEM45057.2020.9309748
Publication status	Published - 2020
Event	2020 IEEE International Conference on Industrial Engineering and Engineering Management - Marina Bay Sands, Singapore, Singapore Duration: 14 Dec 2020 → 17 Dec 2020 http://www.ieem.org/public.asp?page=index.asp

Conference

Conference	2020 IEEE International Conference on Industrial Engineering and Engineering Management
Location	Marina Bay Sands
Country/Territory	Singapore
City	Singapore
Period	14/12/2020 → 17/12/2020
Internet address	http://www.ieem.org/public.asp?page=index.asp

Keywords

Freight trucks
GPS data
Parking measures
Rest areas

Access to Document

10.1109/IEEM45057.2020.9309748

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Cite this

@inproceedings{16fe6a9b2a5e4deb8c4944474d846ed3,

title = "GPS-Derived measures of freight trucks for rest areas: a case-study based analysis",

abstract = "Comprehensive knowledge on how freight trucks utilize rest areas along motorways is essential to prioritize effectively which rest areas need expansion and to decide on where to add new rest areas. Private logistics companies daily archive a large amount of GPS data from trucks that can provide knowledge on the usage patterns of rest areas. This paper presents a methodology to collect and process GPS data from logistics companies to aid public authorities in planning road infrastructures. The developed methodology combines a database management system implemented by PostgreSQL with PostGIS and a MATLAB code. The database system is used to collect and store the GPS data from logistics companies. The MATLAB code implements a systematic procedure to process the GPS data and extract parking statistics, such as average length of truck stay, number of parked trucks, and spatial analyses of the parked truck locations. The methodology is applied to a rest area using GPS data from two large Danish logistics companies. The results show the potentials of GPS truck data to understand the truck parking patterns. ",

keywords = "Freight trucks, GPS data, Parking measures, Rest areas",

author = "Mostafa, {Ahmed Karam Abdelfattah} and Illemann, {Thorbj{\o}rn Martens} and Reinau, {Kristian Hegner}",

year = "2020",

doi = "10.1109/IEEM45057.2020.9309748",

language = "English",

isbn = "978-1-5386-7221-1",

pages = "939--943",

booktitle = "2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020)",

publisher = "IEEE",

address = "United States",

note = "2020 IEEE International Conference on Industrial Engineering and Engineering Management ; Conference date: 14-12-2020 Through 17-12-2020",

url = "http://www.ieem.org/public.asp?page=index.asp",

}

Mostafa, AKA , Illemann, TM & Reinau, KH 2020, GPS-Derived measures of freight trucks for rest areas: a case-study based analysis. in 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020) ., 9309748, IEEE, pp. 939-943, 2020 IEEE International Conference on Industrial Engineering and Engineering Management, Singapore, Singapore, 14/12/2020. https://doi.org/10.1109/IEEM45057.2020.9309748

GPS-Derived measures of freight trucks for rest areas: a case-study based analysis. / Mostafa, Ahmed Karam Abdelfattah ; Illemann, Thorbjørn Martens ; Reinau, Kristian Hegner.
2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020) . IEEE, 2020. p. 939-943 9309748.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - GPS-Derived measures of freight trucks for rest areas: a case-study based analysis

AU - Mostafa, Ahmed Karam Abdelfattah

AU - Illemann, Thorbjørn Martens

AU - Reinau, Kristian Hegner

PY - 2020

Y1 - 2020

N2 - Comprehensive knowledge on how freight trucks utilize rest areas along motorways is essential to prioritize effectively which rest areas need expansion and to decide on where to add new rest areas. Private logistics companies daily archive a large amount of GPS data from trucks that can provide knowledge on the usage patterns of rest areas. This paper presents a methodology to collect and process GPS data from logistics companies to aid public authorities in planning road infrastructures. The developed methodology combines a database management system implemented by PostgreSQL with PostGIS and a MATLAB code. The database system is used to collect and store the GPS data from logistics companies. The MATLAB code implements a systematic procedure to process the GPS data and extract parking statistics, such as average length of truck stay, number of parked trucks, and spatial analyses of the parked truck locations. The methodology is applied to a rest area using GPS data from two large Danish logistics companies. The results show the potentials of GPS truck data to understand the truck parking patterns.

AB - Comprehensive knowledge on how freight trucks utilize rest areas along motorways is essential to prioritize effectively which rest areas need expansion and to decide on where to add new rest areas. Private logistics companies daily archive a large amount of GPS data from trucks that can provide knowledge on the usage patterns of rest areas. This paper presents a methodology to collect and process GPS data from logistics companies to aid public authorities in planning road infrastructures. The developed methodology combines a database management system implemented by PostgreSQL with PostGIS and a MATLAB code. The database system is used to collect and store the GPS data from logistics companies. The MATLAB code implements a systematic procedure to process the GPS data and extract parking statistics, such as average length of truck stay, number of parked trucks, and spatial analyses of the parked truck locations. The methodology is applied to a rest area using GPS data from two large Danish logistics companies. The results show the potentials of GPS truck data to understand the truck parking patterns.

KW - Freight trucks

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KW - Rest areas

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M3 - Article in proceeding

SN - 978-1-5386-7221-1

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BT - 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2020)

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GPS-Derived measures of freight trucks for rest areas: a case-study based analysis

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

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”A New System for Sharing Data Between Logistics Companies and Public Infrastructure Authorities: Improving Infrastructure While Maintaining Competitive Advantage”

Cite this

GPS-Derived measures of freight trucks for rest areas: a case-study based analysis

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

”A New System for Sharing Data Between Logistics Companies and Public Infrastructure Authorities: Improving Infrastructure While Maintaining Competitive Advantage”

Cite this