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A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments

Internet of Things-enabled Intelligent Transportation Systems (ITS) are gaining significant attention in academic literature and industry, and are seen as a solution to enhancing road safety in smart cities. Due to the ever increasing number of vehicles, a significant rise in the number of road acci...

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Autores principales: Bhatti, Fizzah, Shah, Munam Ali, Maple, Carsten, Islam, Saif Ul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540187/
https://www.ncbi.nlm.nih.gov/pubmed/31058879
http://dx.doi.org/10.3390/s19092071
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author Bhatti, Fizzah
Shah, Munam Ali
Maple, Carsten
Islam, Saif Ul
author_facet Bhatti, Fizzah
Shah, Munam Ali
Maple, Carsten
Islam, Saif Ul
author_sort Bhatti, Fizzah
collection PubMed
description Internet of Things-enabled Intelligent Transportation Systems (ITS) are gaining significant attention in academic literature and industry, and are seen as a solution to enhancing road safety in smart cities. Due to the ever increasing number of vehicles, a significant rise in the number of road accidents has been observed. Vehicles embedded with a plethora of sensors enable us to not only monitor the current situation of the vehicle and its surroundings but also facilitates the detection of incidents. Significant research, for example, has been conducted on accident rescue, particularly on the use of Information and Communication Technologies (ICT) for efficient and prompt rescue operations. The majority of such works provide sophisticated solutions that focus on reducing response times. However, such solutions can be expensive and are not available in all types of vehicles. Given this, we present a novel Internet of Things-based accident detection and reporting system for a smart city environment. The proposed approach aims to take advantage of advanced specifications of smartphones to design and develop a low-cost solution for enhanced transportation systems that is deployable in legacy vehicles. In this context, a customized Android application is developed to gather information regarding speed, gravitational force, pressure, sound, and location. The speed is a factor that is used to help improve the identification of accidents. It arises because of clear differences in environmental conditions (e.g., noise, deceleration rate) that arise in low speed collisions, versus higher speed collisions). The information acquired is further processed to detect road incidents. Furthermore, a navigation system is also developed to report the incident to the nearest hospital. The proposed approach is validated through simulations and comparison with a real data set of road accidents acquired from Road Safety Open Repository, and shows promising results in terms of accuracy.
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spelling pubmed-65401872019-06-04 A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments Bhatti, Fizzah Shah, Munam Ali Maple, Carsten Islam, Saif Ul Sensors (Basel) Article Internet of Things-enabled Intelligent Transportation Systems (ITS) are gaining significant attention in academic literature and industry, and are seen as a solution to enhancing road safety in smart cities. Due to the ever increasing number of vehicles, a significant rise in the number of road accidents has been observed. Vehicles embedded with a plethora of sensors enable us to not only monitor the current situation of the vehicle and its surroundings but also facilitates the detection of incidents. Significant research, for example, has been conducted on accident rescue, particularly on the use of Information and Communication Technologies (ICT) for efficient and prompt rescue operations. The majority of such works provide sophisticated solutions that focus on reducing response times. However, such solutions can be expensive and are not available in all types of vehicles. Given this, we present a novel Internet of Things-based accident detection and reporting system for a smart city environment. The proposed approach aims to take advantage of advanced specifications of smartphones to design and develop a low-cost solution for enhanced transportation systems that is deployable in legacy vehicles. In this context, a customized Android application is developed to gather information regarding speed, gravitational force, pressure, sound, and location. The speed is a factor that is used to help improve the identification of accidents. It arises because of clear differences in environmental conditions (e.g., noise, deceleration rate) that arise in low speed collisions, versus higher speed collisions). The information acquired is further processed to detect road incidents. Furthermore, a navigation system is also developed to report the incident to the nearest hospital. The proposed approach is validated through simulations and comparison with a real data set of road accidents acquired from Road Safety Open Repository, and shows promising results in terms of accuracy. MDPI 2019-05-03 /pmc/articles/PMC6540187/ /pubmed/31058879 http://dx.doi.org/10.3390/s19092071 Text en © 2019 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 Article
Bhatti, Fizzah
Shah, Munam Ali
Maple, Carsten
Islam, Saif Ul
A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
title A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
title_full A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
title_fullStr A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
title_full_unstemmed A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
title_short A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
title_sort novel internet of things-enabled accident detection and reporting system for smart city environments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6540187/
https://www.ncbi.nlm.nih.gov/pubmed/31058879
http://dx.doi.org/10.3390/s19092071
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