Markov Property Analysis of the Real-World Driving Data and Its Application

Thi Yen Lien Nguyen1,2, Trung Dung Nghiem1,
1 Hanoi University of Science and Technology
2 University of Transport and Communication

Main Article Content

Abstract

There are a number of methods that can be used for the development of a driving cycle. Among them, the Markov chain is a promising approach which has been being widely studied in recent years in many developed countries but still is scarce in Vietnam. In this study, the real-world driving data of bus system in Hanoi are proved to be a stationary time-series and have the Markov property, based on the analysis of random number series which are the values of instantaneous speed of the bus recorded by the GPS in a whole bus route. The typical driving cycle of the bus route No.9 was then developed based on this finding. The developed cycle was assessed in the comparison with the on – road driving data. A good conformity of this driving cycle with the real –world driving data was observed.

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References

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