Mobile Crowdsensing to Collect Road Conditions and Events

Mobile Crowdsensing Framework for Road Surface Quality Detection.

“…These data sets were used in training a multilevel support vector machine (SVM) classifier which can effectively detect multiple anomalies with varying levels of danger with an average TPR performance of 90%. Authors of [7] proposed an MCS framework for collecting data that reflects different phenomenon such as road traffic and climate data. A smartphone application is implemented for data collection and a cloud is utilized to acts as a service platform to help in integrating and analyzing the data to define certain phenomena in certain roads Data analysis was performed in a compressed form to decrease the capacity of the storage.…”