A system for crowdsensing vibration in public transportation

The subject of this paper is the development of a crowdsensing system for measuring vibration in traffic based on Internet of things, mobile and web technologies. The developed system should provide information about the level of comfort of the environment subjected to the measurement. Mobile crowdsensing is an emerging paradigm based on the application of sensors and crowdsourcing. The use of mobile device sensors, enabling the acquisition of local geospatial information and the provision of information / knowledge sharing with other users and the wider community creates a foundation for mobile crowdsensing. The literature overview shows that application of mobile crowdsensing approach can be found in following fields: environment, infrastructure and society. The parameters that determine the comfort of the environment, the methods for calculating them and the reference values are systematized. In the practical part described in the paper, a system for measuring vibration by a large number of participants (crowdsensing) was designed, implemented and tested using mobile phones for data collection and web technologies for displaying results and user reporting. The developed system was evaluated through a concrete experiment of measuring vibration in urban transport vehicles in Belgrade. Finally, we present the analysis of results, and a decision support system that gives support to various stakeholders.