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Driving data distribution of human drivers in urban driving condition

Authors: Rui Liu 0018; Xichan Zhu;

Driving data distribution of human drivers in urban driving condition

Abstract

In this paper, driving data distribution of human drivers in urban driving condition are presented by using China-FOT data. Longitudinal acceleration, lateral acceleration and longitudinal velocity are the three vehicle dynamic parameters which are concerned in the study of human driver behaviors. The data distributions of these three parameters are studied. It is found that the lateral acceleration versus longitudinal acceleration diagram shows the dual triangle distribution, and the speed based diagrams present piecewise linear distribution. Next, whether the database is sufficiently large to get steady distribution and boundary is discussed. And the data distribution boundaries of these three parameters are achieved. In the last, acceleration distribution at different speed region is presented.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Top 10%
Average
Average
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