Saving Victims in Moving Vehicles: an IoT based prediction model aided solution The number of attacks on innocent victims in moving vehicles, and abduction of individuals in their vehicles has risen alarmingly in the past few years. One common scenario evident from the modus operandi of this kind of attack is the random motion of these vehicles, due to the driverxe2x80x99s unpredictable behaviours. To save the victims in such kinds of assault, it is essential to offer help promptly. An effective strategy to save victims is to predict the future location of the vehicles, so that the rescue mission can be actioned at the earliest possibility. This paper presents a comprehensive survey of the stateoftheart personal safety solutions and location prediction technologies, and proposes an Internet of Things (IoT) based personal safety model, encompassing a prediction framework to anticipate the future vehicle locations by exploiting complex analytics of current and past data variables including the speed, direction and geolocation of the vehicles. Experiments conducted based on realworld datasets demonstrate the feasibility of our proposed framework in accurately predicting future vehicle locations.

Use of Smartphones for Ensuring Vulnerable Road User Safety through Path Prediction and Early Warning: An InDepth Review of Capabilities, Limitations and Their Applications in Cooperative Intelligent Transport Systems 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 collisionsafety 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 usersxe2x80x99 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 stepmovement prediction, which are closely related to pedestrian to vehicle applications and research. We identify gaps that exist in these fields that could be improvedextendedenhanced or newly developed, while we address future research objectives and methodologies that could support the improvementdevelopment of those identified gaps.