@article{ref1,
title="Rider behavioral patterns in braking manoeuvres",
journal="Transportation research procedia",
year="2016",
author="Baldanzini, Niccolò and Huertas-Leyva, Pedro and Savino, Giovanni and Pierini, Marco",
volume="14",
number="",
pages="4374-4383",
abstract="This paper aims to investigate rider braking behaviors using a dataset of braking maneuvers derived from naturalistic riding data. Each braking event was fully characterized with experimental data. A set of descriptive parameters was defined to capture relevant information of the braking event and to facilitate the clustering process of braking behaviors. Naturalistic data of 5 riders were automatically processed to identify and characterize the braking events based on the given set of parameters. A preliminary descriptive analysis was performed to verify the presence of macro behaviors of riders. Subsequently, a Principal Component Analysis was performed to reduce problem dimensionality and support the cluster analysis on the dataset of a rider. The results indicated that a macro classification of riders is possible also based on a descriptive analysis. Nonetheless a cluster analysis sharply identified different behaviors of the rider, and thus provided a more solid basis for comparison of behavior among riders. In addition, the clusters revealed quantitative data that will be useful for the development of assistive systems.  Keywords: Motorcycles, Motorcycle riding, Motorcycle riders<p /> <p>Language: en</p>",
language="en",
issn="2352-1465",
doi="10.1016/j.trpro.2016.05.359",
url="http://dx.doi.org/10.1016/j.trpro.2016.05.359"
}