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

Autor: Goran Vuk, Kristian Hegner Reinau, Christian Overgaard Hansen, Ahmed Karam, Thorbjørn Martens Illemann
Rok vydání: 2020
Předmět:
Public infrastructure
OD matrices
Operations research
Computer science
Process (engineering)
GPS
driving patterns
Geography
Planning and Development
lcsh:G1-922
ComputerApplications_COMPUTERSINOTHERSYSTEMS
affinity diagram
010501 environmental sciences
freight
User requirements document
01 natural sciences
Competitive advantage
road transport
Data processing system
Database
Road transport
parking measures
0502 economics and business
Earth and Planetary Sciences (miscellaneous)
Computers in Earth Sciences
user requirements
database
0105 earth and related environmental sciences
050210 logistics & transportation
Driving patterns
business.industry
05 social sciences
Identification (information)
Freight
Affinity diagram
Global Positioning System
User requirements
TRIPS architecture
business
lcsh:Geography (General)
Parking measures
Zdroj: ISPRS International Journal of Geo-Information, Vol 9, Iss 606, p 606 (2020)
Mostafa, A K A, Illemann, T M, Reinau, K H, Vuk, G & Christensen, C O 2020, ' Towards deriving freight traffic measures from truck movement data for state road planning: a proposed system framework ', I S P R S International Journal of Geo-Information, vol. 9, no. 10, 606 . https://doi.org/10.3390/ijgi9100606
ISPRS International Journal of Geo-Information
Volume 9
Issue 10
ISSN: 2220-9964
DOI: 10.3390/ijgi9100606
Popis: 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 &ldquo
A new system for sharing data between logistics companies and public infrastructure authorities: improving infrastructure while maintaining competitive advantage&rdquo
Previous studies ignored the fact that the primary step for delivering valuable and usable data processing systems is to consider the final user&rsquo
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&rsquo
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&rsquo
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.
Databáze: OpenAIRE
Externí odkaz: