Statistical Analysis of Floating-Car Data: An Empirical Study

M. Ebrahim Fouladvand and Amir H. Darooneh
Additional contact information
M. Ebrahim Fouladvand: Zanjan University, Department of Physics
Amir H. Darooneh: Zanjan University, Department of Physics

A chapter in Traffic and Granular Flow’05, 2007, pp 699-708 from Springer

Abstract: Summary We present results of a statistical analysis of empirical floating-car data. Our investigations are based on analyzing the time series of four basic quantities namely velocity, velocity difference, spatial gap and the acceleration associated to some instrumented cars. We try to identify the moving phases of the instrumented vehicle according to the statistical properties of its velocity time series. Moreover, by exploring the two-point joint probabilities, we propose a new approach for modelling vehicular dynamics based on the floating car data.

Keywords: Driving State; Leader Vehicle; Velocity Time Series; Robert Bosch GmbH; Velocity Standard Deviation (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-47641-2_68

Ordering information: This item can be ordered from
http://www.springer.com/9783540476412

DOI: 10.1007/978-3-540-47641-2_68

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().