Analyzing Driver Behavior Compliance under HoS Regulations

Abstract

World wide spreaded Hours of Service (HoS) regulations constraint drivers’ amount of working and driving time without resting. Transport companies are extremely interested on interpreting what their drivers are doing, based on the raw information of event logs generated by fleets’ onboard devices, considering the terms defined by HoS regulations. This work addresses the problem of analyzing the compliance of a driver wrt HoS, by using AI techniques to classify and label the information of a driver’s log according to HoS terms. The final result is a human-interpretable descriptive model of driver behaviour that leverages the company situational awareness, empowering staff responsible of operations to make better informed decisions.