Preprint Review Version 1 This version is not peer-reviewed

A Prediction - Communication P2V Framework for Enhancing Vulnerable Road Users’ Safety

Version 1 : Received: 31 December 2019 / Approved: 2 January 2020 / Online: 2 January 2020 (14:40:11 CET)

How to cite: Vourgidis, I.; Maglaras, L.; Alfakeeh, A.S.; Al-Bayatti, A.H.; Ferrag, M.A. A Prediction - Communication P2V Framework for Enhancing Vulnerable Road Users’ Safety. Preprints 2020, 2020010017 (doi: 10.20944/preprints202001.0017.v1). Vourgidis, I.; Maglaras, L.; Alfakeeh, A.S.; Al-Bayatti, A.H.; Ferrag, M.A. A Prediction - Communication P2V Framework for Enhancing Vulnerable Road Users’ Safety. Preprints 2020, 2020010017 (doi: 10.20944/preprints202001.0017.v1).

Abstract

The field of Cooperative Intelligent Transport Systems and more specifically Pedestrians to Vehicles (P2V) could be characterized as quite challenging, since there is broad research area to be studied, with direct positive results to society.P2V 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 VRU’s smartphones. Moreover, extensive literature review has been carried out in the fields of VRUs Outdoor Localisation via smartphones and VRUs Next Step/Movement Prediction, that are closely related to P2V applications and research. We identify gaps that exist in these fields that could be improved/extended/enhanced or newly developed, while we address the future research objectives and methodologies that could support the improvement/development of those gaps. We also propose a P2V security framework that combines prediction and communication capabilities in order to avoid accidents between pedestrians and vehicles.

Subject Areas

Cooperative Intelligent Transport Systems (CITS); Vehicle to Pedestrian (V2P); Vulnerable 15 Road Users (VRU); GPS; smartphones; Inertial Measurement Units sensors

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