3 research outputs found

    Use Of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An In-Depth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems

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    The field of cooperative intelligent transport systems and more specifically pedestrians to vehicles could be characterized as quite challenging, since there is a broad research area to be studied, with direct positive results to society. Pedestrians to vehicles is a type of cooperative intelligent transport system, within the group of early warning collision/safety system. In this article, we examine the research and applications carried out so far within the field of pedestrians to vehicles cooperative transport systems by leveraging the information coming from vulnerable road users’ smartphones. Moreover, an extensive literature review has been carried out in the fields of vulnerable road users outdoor localisation via smartphones and vulnerable road users next step/movement prediction, which are closely related to pedestrian to vehicle applications and research. We identify gaps that exist in these fields that could be improved/extended/enhanced or newly developed, while we address future research objectives and methodologies that could support the improvement/development of those identified gaps

    Supervision of Postgraduate Independent Study in a Distance Learning Environment

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    This chapter is written in collaboration with one past and two present Computer Science doctorate students who all studied a UK Master’s programme by distance learning and whilst living overseas; all three went on to study for a Ph.D. in the same way; one completed and two are still current. The chapter explores their first-hand experience and ideas in order to arrive at some recommendations for achieving success with this kind of study. The exploration involves a narrative from each of the three co-authors who studied in this way. Not surprisingly, communication and engagement from supervisors/tutors and students are key here. However, other recommendations range from motivational elements—such as achieving publications, to the very practical, such as being supported with technical issues. The lessons learned from these experiences are particularly pertinent for distance students but many of them will resonate for on-site staff/student interactions just as well
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