Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

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

Ioannis Vourgidis
ORCID logo ,
Leandros Maglaras
* ,
Ahmed S. Alfakeeh
,
Ali H. Al-Bayatti
ORCID logo ,
Mohamed Amine Ferrag
Version 1 : Received: 31 December 2019 / Approved: 2 January 2020 / Online: 2 January 2020 (14:40:11 CET)
Version 2 : Received: 4 February 2020 / Approved: 6 February 2020 / Online: 6 February 2020 (03:44:08 CET)

A peer-reviewed article of this Preprint also exists.

Vourgidis, I.; Maglaras, L.; Alfakeeh, A.S.; Al-Bayatti, A.H.; Ferrag, M.A. 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. Sensors 2020, 20, 997. Vourgidis, I.; Maglaras, L.; Alfakeeh, A.S.; Al-Bayatti, A.H.; Ferrag, M.A. 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. Sensors 2020, 20, 997.

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.

Keywords

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

Subject

Engineering, Control and Systems Engineering

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Download PDF

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0
Metrics 0
Get PDF Cite Share 0
Bookmark BibSonomy Mendeley Reddit Delicious
×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.