Safe Cycle: Infrastructural Control for Bikers

Abstract

Bikes are an important green alternative to city mobility, and are increasingly seen as a crucial way to limit the problems given by traffic. Yet, in many countries they are somehow seen as subordinate to streets in many areas that are not central. As a result, detection of their actual status, and corresponding maintenance, is often far from optimal. In this work we look for solutions to the problem of bikeways maintenance, and look for novel solutions that allow us to assess the status of a bikeway. We develop a system that enables to collect data from the bikeways in a very economical and flexible way, and then experiment to see whether the data allow to actually produce a reliable status prediction. We tested the system in an urban setting, showing that the obtained system is both convenient to use and precise, paving the way for better ways of studying and managing bikeways within a smarter city environment.

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