Working Paper Review Version 2 This version is not peer-reviewed

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

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.

Journal reference: Sensors 2020, 20, 997
DOI: 10.3390/s20040997

Abstract

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.

Subject Areas

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

Comments (1)

Comment 1
Received: 6 February 2020
Commenter: Leandros Maglaras
Commenter's Conflict of Interests: Author
Comment: This is the revised version of the article following a major revision decision.
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