Data Analytics to Support a Smart Fleet Management Strategy

The correct application of efficient and safe driving techniques plays an important role for professional drivers. Monitoring and analyzing driving data can promote changes in the sector in terms of the better use of vehicles, reduction in energy consumption, and improved on-road safety. However, the results in driving performance can vary considerably among different fleets that have received the same training in efficient and safe driving. The aim of this article is to perform an in-depth analysis of the driving performance of professional drivers during their working day, taking into account the influence of fleet management decisions. For this, we have selected four urban public transport companies with clear differences in terms of the employees scheduled and rostered drivers to bus lines. The driving behavior of 745 drivers has been evaluated over a period of 10 months, considering performance in terms of efficient and safe driving through the use of driving patterns. A total of 6,517,983.995 km of real-time driving data retrieved from vehicles every 1.5 s has been analyzed. The results show significant differences in the evolution and acquisition of new driving habits. In addition, significant observations from this article provide valuable information for fleet managers and allow them take advantage of data provided by the adoption of intelligent transportation systems.

Automated summary

This article provides an in-depth analysis of the driving performance of professional drivers during their working day, taking into account the influence of fleet management decisions. It reveals significant differences in efficient and safe driving among different fleets and offers valuable information for fleet managers to utilize.