Decision Support System for Road Transport Management in the Digital Age

Abstract

The rapid development of information technologies and their widespread use in various sectors of the economy, including transportation, have led to a massive growth in data flows. However, the paradox of our time is that this data is not used to its full potential to provide companies with powerful impetus for their development. This is especially true at the strategic level, where company executives still mostly make decisions without relying on the recommendations of business intelligence systems. In the management of road transport, this phenomenon can be attributed to the fragmentation of data sources and the vague understanding of the relationships between them. This is also partially due to the diversity in opinions in the expert community on the efficiency of the transport processes. Thus, it is obvious that, without deciding on how to measure efficiency, it is hard to say where the data for calculations should be acquired from and what should be the architecture of a decision support system. Note that the diversity of data sources in the digital age creates prerequisites for various metrics that highlight different aspects of the transportation process.