Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology

Synthesis of Driving Cycles Based on Low-Sampling-Rate Vehicle-Tracking Data and Markov Chain Methodology

The authors of this paper propose a Markov-chain-based method for the synthesis of naturalistic, high-sampling-rate driving cycles based on the route segment statistics extracted from low-sampling-rate vehicle-tracking data. In the considered case of a city bus transport system, the route segments c...

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Bibliographic Details
Main Authors: Zvonimir Dabčević, Branimir Škugor, Jakov Topić, Joško Deur
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Energies
Subjects:
driving cycle
synthesis
boundary conditions
city bus
vehicle-tracking data
Markov chain method
Online Access:https://www.mdpi.com/1996-1073/15/11/4108

Internet

https://www.mdpi.com/1996-1073/15/11/4108

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