Cargando…
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
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...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070968/ https://www.ncbi.nlm.nih.gov/pubmed/32069811 http://dx.doi.org/10.3390/s20040997 |
_version_ | 1783506097399660544 |
---|---|
author | Vourgidis, Ioannis Maglaras, Leandros Alfakeeh, Ahmed S. Al-Bayatti, Ali H. Ferrag, Mohamed Amine |
author_facet | Vourgidis, Ioannis Maglaras, Leandros Alfakeeh, Ahmed S. Al-Bayatti, Ali H. Ferrag, Mohamed Amine |
author_sort | Vourgidis, Ioannis |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7070968 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-70709682020-03-19 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 Vourgidis, Ioannis Maglaras, Leandros Alfakeeh, Ahmed S. Al-Bayatti, Ali H. Ferrag, Mohamed Amine Sensors (Basel) Review 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. MDPI 2020-02-13 /pmc/articles/PMC7070968/ /pubmed/32069811 http://dx.doi.org/10.3390/s20040997 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Vourgidis, Ioannis Maglaras, Leandros Alfakeeh, Ahmed S. Al-Bayatti, Ali H. Ferrag, Mohamed Amine 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 |
title | 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 |
title_full | 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 |
title_fullStr | 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 |
title_full_unstemmed | 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 |
title_short | 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 |
title_sort | 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 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070968/ https://www.ncbi.nlm.nih.gov/pubmed/32069811 http://dx.doi.org/10.3390/s20040997 |
work_keys_str_mv | AT vourgidisioannis useofsmartphonesforensuringvulnerableroadusersafetythroughpathpredictionandearlywarninganindepthreviewofcapabilitieslimitationsandtheirapplicationsincooperativeintelligenttransportsystems AT maglarasleandros useofsmartphonesforensuringvulnerableroadusersafetythroughpathpredictionandearlywarninganindepthreviewofcapabilitieslimitationsandtheirapplicationsincooperativeintelligenttransportsystems AT alfakeehahmeds useofsmartphonesforensuringvulnerableroadusersafetythroughpathpredictionandearlywarninganindepthreviewofcapabilitieslimitationsandtheirapplicationsincooperativeintelligenttransportsystems AT albayattialih useofsmartphonesforensuringvulnerableroadusersafetythroughpathpredictionandearlywarninganindepthreviewofcapabilitieslimitationsandtheirapplicationsincooperativeintelligenttransportsystems AT ferragmohamedamine useofsmartphonesforensuringvulnerableroadusersafetythroughpathpredictionandearlywarninganindepthreviewofcapabilitieslimitationsandtheirapplicationsincooperativeintelligenttransportsystems |