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To be able to measure relevant data for transport infrastructure monitoringand to obtain maintenance indicators in a crowd sensing-based fashion, a set ofrequirements (both from hardware and software points of view) needs to besatisfied. Heterogeneity of smartphones and various uncertainties associatedwith the mainstream \textit{off-the-shelf} hardware combined with the fact thatinexperienced participants will take an active part in the data collectionprocess necessitates that the system accounts for dynamicity, uncertainty,unreliability, and heterogeneity of the environment, participants, andtechnology. Modern Software Development Kits (SDK) and Application ProgrammingInterfaces (API) provided by the mobile Operating Systems allow us to buildapplications for the smartphones ecosystem and to interact with components,services, and applications. They also provide specifications for hardwarecomponents and modules (e.g. sensors, location, and networking modules). Beinga system implemented on a heterogeneous and dynamic smartphone platform, ourcrowd sensing-based transport infrastructure monitoring system satisfies anumber of hardware and software requirements. Hence, we propose a detailed andrigorous methodology to research the requirements and describe the overallsystem architecture including its functionalities and services.

Towards predictive crowd based transport infrastructure monitoring system