A NTUA Diploma Thesis titled “Detection of dangerous driver behavior with widescale data from smart recording systems and machine learning techniques” was recently presented by Hector Kamvoussioras. The data was collected from a large database created through a simulation experiment conducted within the European H2020 project. Three categories of driving were extracted from the data: normal driving, dangerous driving and avoidable accident. The three categories were extracted using maximum speed as the concerned variable and checking whether drivers exceeded the speed limit through it.
Detection of dangerous driver behavior with widescale data from smart recording systems and machine learning techniques, July 2022
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