Abstract
Information and Communication Technology is increasingly recognised as a key element for the ability of cycling mobility initiatives to create real, profound, incremental and measurable impact. Even though previous work has extensively explored many applications of smart cycling data, the first challenge is to actually produce consistent cycling data in a systematic way. In this research, we explore the range of sensors which could be more relevant to integrate into urban bicycles to support the systematic collection of data about cycle routes. To gain a deeper insight into the real-world challenges of systematic cycle-based sensing, we conducted an experimental data collection. We equipped a bicycle with a diverse set of low-cost sensors, and we collected data in a pre-defined route, in which it was possible to experience very diverse environmental circumstances regarding road surface or the level of surrounding traffic. The results highlight some of the practical challenges that can be faced by systematic sensing for urban cycling, suggesting that not all sensors might be appropriate for this type of large-scale deployment on bicycles. The main contribution is a set of design implications, which should help to inform the design of novel sensing systems for bicycles.
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Acknowledgements
This work has been supported by national funds through FCT, Fundação para a Ciência e Tecnologia, within the Project Scope: UID/CEC/00319/2019, and also by the European Structural and Investment Funds in the FEDER component, through the Operational Competitiveness and Internationalization Programme (COMPETE 2020) [Project nº 039334; Funding Reference: POCI-01-0247-FEDER-039334].
Development of the Arduino code was made by André Torrinha, Marcelo Alves, Pedro Lobo and Rui Almeida as part of a Masters’ Project.
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Costa, M., José, R. (2020). Challenges and Limitations for the Systematic Collection of Cycling Data from Bike Sensors. In: Santos, H., Pereira, G., Budde, M., Lopes, S., Nikolic, P. (eds) Science and Technologies for Smart Cities. SmartCity 360 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 323. Springer, Cham. https://doi.org/10.1007/978-3-030-51005-3_8
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DOI: https://doi.org/10.1007/978-3-030-51005-3_8
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