Empowering Commercial Vehicles through Data-Driven Methodologies

Paolo Bethaz, Sara Cavaglion, Sofia Cricelli, Elena Liore, Emanuele Manfredi, Stefano Salio, Andrea Regalia, Fabrizio Conicella, Salvatore Greco, Tania Cerquitelli
2021 Electronics  
In the era of "connected vehicles," i.e., vehicles that generate long data streams during their usage through the telematics on-board device, data-driven methodologies assume a crucial role in creating valuable insights to support the decision-making process effectively. Predictive analytics allows anticipation of vehicle issues and optimized maintenance, reducing the resulting costs. In this paper, we focus on analyzing data collected from heavy trucks during their use, a relevant task for
more » ... anies due to the high commercial value of the monitored vehicle. The proposed methodology, named TETRAPAC, offers a generalizable approach to estimate vehicle health conditions based on monitored features enriched by innovative key performance indicators. We discussed performance of TETRAPAC in two real-life settings related to trucks. The obtained results in both tasks are promising and able to support the company's decision-making process in the planning of maintenance interventions.
doi:10.3390/electronics10192381 doaj:9e9fb2a3cb264d78b359c5342ea4d482 fatcat:tki2mkjvbvchtanctjo57dyjim