A Review of Big Data in Road Freight Transport Modeling: Gaps and Potentials
Artikel i vetenskaplig tidskrift, 2023

Road transport accounted for 20% of global total greenhouse gas emissions in 2020, of which 30% come from road freight transport (RFT). Modeling the modern challenges in RFT requires the integration of different freight modeling improvements in, e.g., traffic, demand, and energy modeling. Recent developments in 'Big Data' (i.e., vast quantities of structured and unstructured data) can provide useful information such as individual behaviors and activities in addition to aggregated patterns using conventional datasets. This paper summarizes the state of the art in analyzing Big Data sources concerning RFT by identifying key challenges and the current knowledge gaps. Various challenges, including organizational, privacy, technical expertise, and legal challenges, hinder the access and utilization of Big Data for RFT applications. We note that the environment for sharing data is still in its infancy. Improving access and use of Big Data will require political support to ensure all involved parties that their data will be safe and contribute positively toward a common goal, such as a more sustainable economy. We identify promising areas for future opportunities and research, including data collection and preparation, data analytics and utilization, and applications to support decision-making.

Road freight transport

Transport modeling

Big data analytics

Big data


Wasim Shoman

Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori

Sonia Yeh

Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori

Frances Sprei

Chalmers, Rymd-, geo- och miljövetenskap, Fysisk resursteori

Jonathan Köhler

Patrick Plötz

Yancho Todorov

Teknologian Tutkimuskeskus (VTT)

Seppo Rantala

Teknologian Tutkimuskeskus (VTT)

Daniel Speth

Fraunhofer-Institut für System- und Innovationsforschung ISI

Data Science for Transportation

2948-1368 (eISSN)

Vol. 5 2


Annan data- och informationsvetenskap

Transportteknik och logistik

Miljöanalys och bygginformationsteknik


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