Individual space-speed profiles are very informative to study drivers behavior and their road usage. Due to uncertainties in the measurements of position and speed from sensors, there is need of use a smoothing procedure in order to estimate these space-speed profiles. The purpose of this study is to propose a smoothing method based on a functional approach. This approach take inspiration from Functional Data Analysis, a statistical domain that has developed recently. So, we define and study some properties of the functional space of spacespeed profiles. Then, due to the correspondence between speed and position (and implicitly time), we prove that a change of study area (distance vs time) is more appropriate and leads to a smoothing problem under monotonicity constraint. An estimation method of monotone smoothing spline is used and tested with simulated data.


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    Title :

    Estimation of space-speed profiles: A functional approach using smoothing splines


    Contributors:


    Publication date :

    2013-06-01


    Size :

    1466664 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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