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Data Science in Cargo Transportation: Change in Driver Behavior After the Implementation of a Telemetry Tool
Abstract
Data science applications have the potential to offer improvements in business communication and collaboration through data science applications. In view of this premise, this chapter analyzes the behavioral changes of the drivers resulting from the implantation of a telemetry tool. A case study was carried out in a medium-sized company in the logistics and cargo transportation segment in the Belo Horizonte, Brazil. The technique used for data collection was documental. This implementation allowed identifying a radical change in drivers' behavior, resulting in reduced average speed, abrupt acceleration, abrupt braking, excessive g-force cornering, and the use of “banguela” (coasting). In this way, the tool proved to be a competitive advantage since this change in behavior increased employee safety, eliminated costs, and improved the company's image before the population.
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