Abstract

In this paper, we address the problem of managing driving behaviours within the context of Connected Vehicles (CVs). In contrast with the existing related solutions, we are proposing a Cyber Physical System (CPS) architecture that ultimately enables the continuous acquisition and processing of driving data and then the assessment and classification of driving performance according to a welldefined set of driving states. The transitions between these states are decided based on current and previous driving records. In addition to their use for the generation of the appropriate feedback to the driver, the driving states could be used to identify relevant data to be shared with the CVs in the vicinity. They could also be used to recommend personalized trainings to the driver based on his/her driving performance.

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Cite this article

@article{cai-RTATM-18,
  author  = {Khalid Ali Sulaiyam Al Abri and Nafaa Jabeur and Ansar Yasar and Youssef El-Hansali},
  title   = {New Cyber Physical System Architecture for the Management of Driving Behavior Within the Context of Connected Vehicles},
  journal = {Computing and Informatics},
  volume  = {41},
  number  = {2},
  pages   = {527--549},
  year    = {2022},
  issn    = {1335-9150},
  doi     = {10.31577/cai_2022_2_527}
}
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