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Open AccessArticle

Towards Deriving Freight Traffic Measures from Truck Movement Data for State Road Planning: A Proposed System Framework

1
Department of the Built Environment, Aalborg University, 9220 Aalborg, Denmark
2
Department of Mechanical Engineering (Shoubra), Benha University, Benha 13518, Egypt
3
Goran Vuk Models (GVM), København V, 1674 Copenhagen, Denmark
4
COH ApS, København K, 1253 Copenhagen, Denmark
*
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2020, 9(10), 606; https://doi.org/10.3390/ijgi9100606
Received: 11 September 2020 / Revised: 2 October 2020 / Accepted: 5 October 2020 / Published: 14 October 2020
(This article belongs to the Special Issue Recent Trends in Location Based Services and Science)
To make the right decisions on investments, operations, and policies in the public road sector, decision makers need knowledge about traffic measures of trucks, such as average travel time and the frequency of trips among geographical zones. Private logistics companies daily collect a large amount of freight global positioning system (GPS) and shipment data. Processing such data can provide public decision makers with detailed freight traffic measures, which are necessary for making different planning decisions. The present paper proposes a system framework to be used in the research project “A new system for sharing data between logistics companies and public infrastructure authorities: improving infrastructure while maintaining competitive advantage”. Previous studies ignored the fact that the primary step for delivering valuable and usable data processing systems is to consider the final user’s needs when developing the system framework. Unlike existing studies, this paper develops the system framework through applying a user-centred design approach combining three main steps. The first step is to identify the specific traffic measures that satisfy the public decision makers’ planning needs. The second step aims to identify the different types of freight data required as inputs to the data processing system, while the third step illustrates the procedures needed to process the shared freight data. To do so, the current work employs methods of literature review and users’ need identification in applying a user-centralized approach. In addition, we develop a systematic assessment of the coverage and sufficiency of the currently acquired data. Finally, we illustrate the detailed functionality of the data processing system and provide an application case to illustrate its procedures. View Full-Text
Keywords: freight; GPS; database; road transport; OD matrices; parking measures; driving patterns; affinity diagram; user requirements freight; GPS; database; road transport; OD matrices; parking measures; driving patterns; affinity diagram; user requirements
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Karam, A.; Illemann, T.M.; Reinau, K.H.; Vuk, G.; Hansen, C.O. Towards Deriving Freight Traffic Measures from Truck Movement Data for State Road Planning: A Proposed System Framework. ISPRS Int. J. Geo-Inf. 2020, 9, 606.

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