RESEARCH PAPER
Synthesis of naturalistic vehicle driving cycles using the Markov Chain Monte Carlo method
| 1 | Department of Mechanical Engineering Kazimierz Pulaski University of Technology in Radom Malczewskiego 29., 26-600 Radom, Poland |
| 2 | Motor Transport Institute Jagiellońska 80, 03-301 Warszawa, Poland |
Publication date: 2020-06-30
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(2):316–322
KEYWORDS
ABSTRACT
Simulation methods commonly used throughout the design and verification process of various types of motor vehicles require
development of naturalistic driving cycles. Optimization of parameters, testing and gradual increase in the degree of autonomy of
vehicles is not possible based on standard driving cycles. Ensuring representativeness of synthesized time series based on collected
databases requires algorithms using techniques based on stochastic and statistical models. A synthesis technique combining the
MCMC method and multifractal analysis has been proposed and verified. The method allows simple determination of the speed
profile compared to classic frequency analysis.
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