Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm

Driver Behaviour Clustering Using Discrete PDFs and Modified Markov Algorithm

Yes === This paper presents a novel approach for probabilistic clustering, motivated by a real-world problem of modelling driving behaviour. The main aim is to establish clusters of drivers with similar journey behaviour, based on a large sample of historic journeys data. The proposed approach is...

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Bibliographic Details
Main Authors: Kartashev, K., Doikin, A., Campean, I. Felician, Uglanov, A., Abdullatif, A., Zhang, Q., Angiolini, E.
Other Authors: aiR-FORCE project, funded as Proof of Concept by the Institute of Digital Engineering.
Language:en
Published: Springer 2021
Subjects:
MCL algorithm
Discrete pdf
Divergence
Online Access:http://hdl.handle.net/10454/18694

Internet

http://hdl.handle.net/10454/18694

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