Abstract
Computer science paradigms such as internet of things and ubiquitous computing has led to the increase of data and information available for use in innovative projects. Smart cities are planned to harness the strengths of these technologies towards the benefit of society. In the case of urban transport, there are new opportunities for information dissemination and driving and traffic flow analysis. Smart devices, are an adequate choice to ubiquitously gather and transmit data unobtrusively. This fuels the opportunity to handle these data as an input for data analysis and fusion processes that discover and aggregate new information to notify users and communities of incorrect practices, thus aiming to effect behavioural change and intelligent planning. The PHESS driving platform is presented as a response to these requirements and as a realization of some of the potentials for ubiquitous computing in smart cities. Although, there are alternatives, this approach focuses on individual and community driving analysis, which differentiate it from other approaches.
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This work has been supported by CT-Fundação para a Ciência e a Tecnologia within the Project Scope UID/CEC/00319/2013.
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Silva, F., Analide, C. Ubiquitous driving and community knowledge. J Ambient Intell Human Comput 8, 157–166 (2017). https://doi.org/10.1007/s12652-016-0397-9
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DOI: https://doi.org/10.1007/s12652-016-0397-9