Framework for Process Mining in Cargo Transportation Safety – PM2RCS

Abstract Road accidents in cargo transportation pose significant challenges, adversely affecting both the economy and public safety. In recent years, numerous studies have been conducted to mitigate the incidence and severity of these accidents. This study presents a framework that employs process mining within the context of road traffic accidents in cargo transportation. The framework, based on the PM2 method and named “Process Mining Project Methodology in Road Cargo Safety (PM2RCS),” is structured in seven stages and integrates data from monitoring, telematics, and Advanced Driver Assistance Systems (ADAS). By adopting the Design Science Research (DSR) methodology, the framework was developed and applied in a real case study with a multinational in the food sector. The analysis of the accident database revealed that speeding was identified in 92% of accidents, fatigue in 38%, and 28% of involved drivers did not wear seat belts. These findings highlight the urgent need for interventions to mitigate risk behaviors. It concludes that process mining is a promising tool for optimizing safety in road cargo transportation, emphasizing the unique contribution of the PM2-RCS methodology. Future research should focus on personalizing safety solutions, implementing real-time analysis, and addressing the issue of class imbalance.