Searched for: author%3A%22Tselentis%2C+D.%22
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Tselentis, D. (author), Papadimitriou, E. (author)
This study reviews the Artificial Intelligence and Machine Learning approaches developed thus far for driver profile and driving pattern recognition, representing a set of macroscopic and microscopic behaviors respectively, to enhance the understanding of human factors in road safety, and therefore reduce the number of crashes. It provides a...
journal article 2023
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Tselentis, D. (author), Papadimitriou, E. (author), van Gelder, P.H.A.J.M. (author)
Recent research in transport safety focuses on the processing of large amounts of available data by means of intelligent systems, in order to decrease the number of accidents for transportation users. Several Machine Learning (ML) and Artificial Intelligence (AI) applications have been developed to address safety problems and improve efficiency...
journal article 2023
document
Tselentis, D. (author), Papadimitriou, E. (author)
Driving pattern recognition has been applied for the purposes of driving styles identification and harsh driving events detection. However, the evolution of driving behavior around and especially before such events has not been investigated at a microscopic level. The objective of this research is to reveal existing driving patterns around harsh...
journal article 2023
document
Tselentis, D. (author), Papadimitriou, E. (author)
Driver behavior analytics is an important concept that plays a significant role in the understanding of road crashes. This paper investigates the optimal number of driver profiles to understand the most important characteristics that differentiate drivers and extract useful insights on the value of using different clustering approaches in...
journal article 2023
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Papadimitriou, E. (author), Afghari, A.P. (author), Tselentis, D. (author), van Gelder, P.H.A.J.M. (author)
Road safety research is largely focused on prediction and prevention of technical, human or organisational failures that may result in critical conflicts or crashes. Indicators of traffic risk aim to capture the passage to unsafe states. However, research in other industries has shown that it is meaningful to analyse safety along the whole...
journal article 2022
Searched for: author%3A%22Tselentis%2C+D.%22
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