Clustering for Road Damage Locations Obtained by Smartphone Accelerometers

Crowdsensing has been widely investigated and its applications are being explored. We have used accelerometers embedded in the smartphone carried by bicycle users to detect road surface damages. However, detected damages locations are not aggregated and often, the same road surface damage can be detected several times at different locations due to measurement errors. In this study we propose a scheme to cluster damages locations to remove redundancy caused by measurement errors.