An emergency event detection approach in real-time for efficient vehicle safety in Smart City

Nowadays, the Internet of things (IoT) provides various services to drivers by equipped with smart devices. In this regard, the next generation of vehicles collaborates with the features of IoT to provide safety and security on the roads. To achieve this, it is equipped with short-range communicatio...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Multimedia tools and applications 2022-02, Vol.81 (5), p.6373-6388
Hauptverfasser: Lal, Nidhi, Kumar, Shishupal
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 6388
container_issue 5
container_start_page 6373
container_title Multimedia tools and applications
container_volume 81
creator Lal, Nidhi
Kumar, Shishupal
description Nowadays, the Internet of things (IoT) provides various services to drivers by equipped with smart devices. In this regard, the next generation of vehicles collaborates with the features of IoT to provide safety and security on the roads. To achieve this, it is equipped with short-range communication advances and establishes Vehicle-to-Vehicle (V2V) connectivity. The standardized V2V connectivity and communication are termed in IEEE 802.11p. Later, an alternative named (LTE-V2V) has been introduced. However, both technologies are only concerned with the continuous broadcast of information and cooperative awareness. It only takes information from one vehicle in a text way and sends it to another. In this regard, efficient and satisfactory safety is not provided by these technologies for the analysis of real-time road traffic monitoring. Therefore in this paper, we proposed a solution by providing real-time information on road conditions and traffic scenarios to the drivers. We utilized the capturing of images of road conditions by the positioned cameras and Global Positioning System (GPS) to extract the information regarding vehicle and camera position. The proposed work provides better security rather than a message-passing system in V2V communication. The drivers in our anticipated scenarios can extract and see a clear view of road conditions by the use of captured videos/images. Our proposed solution copes well with moderate traffic conditions and provides a high satisfaction score. The simulation results show that our proposed work can achieve high performance in the provision of providing safety compared to other schemes introduced in this field.
doi_str_mv 10.1007/s11042-021-11834-8
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2632029793</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2632029793</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-6aae2b8f032a80c4353179ef899f9fd6ea239fd027198b8a805d945ea2ba87a13</originalsourceid><addsrcrecordid>eNp9kE9LAzEQxYMoWKtfwFPAczST7G6SYyn-A8GDepSQbidtSrtbk7TQb2_qCt48zTD83pvHI-Qa-C1wru4SAK8E4wIYgJYV0ydkBLWSTCkBp2WXmjNVczgnFymtOIemFtWIfE46ihuMC-zaA8U9dpnOMWObQ99Rt93G3rVLGjoa0a1ZDhukvo8UvQ9tONJ7XIZ2jTQ5j_lwJN82LmY6DflwSc68Wye8-p1j8vFw_z59Yi-vj8_TyQtrJZjMGudQzLTnUjjN20rWEpRBr43xxs8bdEKWyYUCo2e6MPXcVHU5z5xWDuSY3Ay-Je7XDlO2q34Xu_LSikYKLowyslBioNrYpxTR220MJevBArfHGu1Qoy012p8arS4iOYhSgbsFxj_rf1Tfn1h1WQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2632029793</pqid></control><display><type>article</type><title>An emergency event detection approach in real-time for efficient vehicle safety in Smart City</title><source>SpringerNature Journals</source><creator>Lal, Nidhi ; Kumar, Shishupal</creator><creatorcontrib>Lal, Nidhi ; Kumar, Shishupal</creatorcontrib><description>Nowadays, the Internet of things (IoT) provides various services to drivers by equipped with smart devices. In this regard, the next generation of vehicles collaborates with the features of IoT to provide safety and security on the roads. To achieve this, it is equipped with short-range communication advances and establishes Vehicle-to-Vehicle (V2V) connectivity. The standardized V2V connectivity and communication are termed in IEEE 802.11p. Later, an alternative named (LTE-V2V) has been introduced. However, both technologies are only concerned with the continuous broadcast of information and cooperative awareness. It only takes information from one vehicle in a text way and sends it to another. In this regard, efficient and satisfactory safety is not provided by these technologies for the analysis of real-time road traffic monitoring. Therefore in this paper, we proposed a solution by providing real-time information on road conditions and traffic scenarios to the drivers. We utilized the capturing of images of road conditions by the positioned cameras and Global Positioning System (GPS) to extract the information regarding vehicle and camera position. The proposed work provides better security rather than a message-passing system in V2V communication. The drivers in our anticipated scenarios can extract and see a clear view of road conditions by the use of captured videos/images. Our proposed solution copes well with moderate traffic conditions and provides a high satisfaction score. The simulation results show that our proposed work can achieve high performance in the provision of providing safety compared to other schemes introduced in this field.</description><identifier>ISSN: 1380-7501</identifier><identifier>EISSN: 1573-7721</identifier><identifier>DOI: 10.1007/s11042-021-11834-8</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Cameras ; Communication ; Communications systems ; Computer Communication Networks ; Computer Science ; Data Structures and Information Theory ; Driving conditions ; Electronic devices ; Global positioning systems ; GPS ; Internet of Things ; Message passing ; Multimedia Information Systems ; Real time ; Road conditions ; Roads &amp; highways ; Security ; Special Purpose and Application-Based Systems ; Traffic ; Traffic information ; Traffic safety ; Vehicle safety</subject><ispartof>Multimedia tools and applications, 2022-02, Vol.81 (5), p.6373-6388</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022</rights><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-6aae2b8f032a80c4353179ef899f9fd6ea239fd027198b8a805d945ea2ba87a13</citedby><cites>FETCH-LOGICAL-c319t-6aae2b8f032a80c4353179ef899f9fd6ea239fd027198b8a805d945ea2ba87a13</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11042-021-11834-8$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11042-021-11834-8$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Lal, Nidhi</creatorcontrib><creatorcontrib>Kumar, Shishupal</creatorcontrib><title>An emergency event detection approach in real-time for efficient vehicle safety in Smart City</title><title>Multimedia tools and applications</title><addtitle>Multimed Tools Appl</addtitle><description>Nowadays, the Internet of things (IoT) provides various services to drivers by equipped with smart devices. In this regard, the next generation of vehicles collaborates with the features of IoT to provide safety and security on the roads. To achieve this, it is equipped with short-range communication advances and establishes Vehicle-to-Vehicle (V2V) connectivity. The standardized V2V connectivity and communication are termed in IEEE 802.11p. Later, an alternative named (LTE-V2V) has been introduced. However, both technologies are only concerned with the continuous broadcast of information and cooperative awareness. It only takes information from one vehicle in a text way and sends it to another. In this regard, efficient and satisfactory safety is not provided by these technologies for the analysis of real-time road traffic monitoring. Therefore in this paper, we proposed a solution by providing real-time information on road conditions and traffic scenarios to the drivers. We utilized the capturing of images of road conditions by the positioned cameras and Global Positioning System (GPS) to extract the information regarding vehicle and camera position. The proposed work provides better security rather than a message-passing system in V2V communication. The drivers in our anticipated scenarios can extract and see a clear view of road conditions by the use of captured videos/images. Our proposed solution copes well with moderate traffic conditions and provides a high satisfaction score. The simulation results show that our proposed work can achieve high performance in the provision of providing safety compared to other schemes introduced in this field.</description><subject>Cameras</subject><subject>Communication</subject><subject>Communications systems</subject><subject>Computer Communication Networks</subject><subject>Computer Science</subject><subject>Data Structures and Information Theory</subject><subject>Driving conditions</subject><subject>Electronic devices</subject><subject>Global positioning systems</subject><subject>GPS</subject><subject>Internet of Things</subject><subject>Message passing</subject><subject>Multimedia Information Systems</subject><subject>Real time</subject><subject>Road conditions</subject><subject>Roads &amp; highways</subject><subject>Security</subject><subject>Special Purpose and Application-Based Systems</subject><subject>Traffic</subject><subject>Traffic information</subject><subject>Traffic safety</subject><subject>Vehicle safety</subject><issn>1380-7501</issn><issn>1573-7721</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNp9kE9LAzEQxYMoWKtfwFPAczST7G6SYyn-A8GDepSQbidtSrtbk7TQb2_qCt48zTD83pvHI-Qa-C1wru4SAK8E4wIYgJYV0ydkBLWSTCkBp2WXmjNVczgnFymtOIemFtWIfE46ihuMC-zaA8U9dpnOMWObQ99Rt93G3rVLGjoa0a1ZDhukvo8UvQ9tONJ7XIZ2jTQ5j_lwJN82LmY6DflwSc68Wye8-p1j8vFw_z59Yi-vj8_TyQtrJZjMGudQzLTnUjjN20rWEpRBr43xxs8bdEKWyYUCo2e6MPXcVHU5z5xWDuSY3Ay-Je7XDlO2q34Xu_LSikYKLowyslBioNrYpxTR220MJevBArfHGu1Qoy012p8arS4iOYhSgbsFxj_rf1Tfn1h1WQ</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Lal, Nidhi</creator><creator>Kumar, Shishupal</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7SC</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>8AL</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0C</scope><scope>M0N</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope></search><sort><creationdate>20220201</creationdate><title>An emergency event detection approach in real-time for efficient vehicle safety in Smart City</title><author>Lal, Nidhi ; Kumar, Shishupal</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-6aae2b8f032a80c4353179ef899f9fd6ea239fd027198b8a805d945ea2ba87a13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Cameras</topic><topic>Communication</topic><topic>Communications systems</topic><topic>Computer Communication Networks</topic><topic>Computer Science</topic><topic>Data Structures and Information Theory</topic><topic>Driving conditions</topic><topic>Electronic devices</topic><topic>Global positioning systems</topic><topic>GPS</topic><topic>Internet of Things</topic><topic>Message passing</topic><topic>Multimedia Information Systems</topic><topic>Real time</topic><topic>Road conditions</topic><topic>Roads &amp; highways</topic><topic>Security</topic><topic>Special Purpose and Application-Based Systems</topic><topic>Traffic</topic><topic>Traffic information</topic><topic>Traffic safety</topic><topic>Vehicle safety</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lal, Nidhi</creatorcontrib><creatorcontrib>Kumar, Shishupal</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Computer and Information Systems Abstracts</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><jtitle>Multimedia tools and applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lal, Nidhi</au><au>Kumar, Shishupal</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An emergency event detection approach in real-time for efficient vehicle safety in Smart City</atitle><jtitle>Multimedia tools and applications</jtitle><stitle>Multimed Tools Appl</stitle><date>2022-02-01</date><risdate>2022</risdate><volume>81</volume><issue>5</issue><spage>6373</spage><epage>6388</epage><pages>6373-6388</pages><issn>1380-7501</issn><eissn>1573-7721</eissn><abstract>Nowadays, the Internet of things (IoT) provides various services to drivers by equipped with smart devices. In this regard, the next generation of vehicles collaborates with the features of IoT to provide safety and security on the roads. To achieve this, it is equipped with short-range communication advances and establishes Vehicle-to-Vehicle (V2V) connectivity. The standardized V2V connectivity and communication are termed in IEEE 802.11p. Later, an alternative named (LTE-V2V) has been introduced. However, both technologies are only concerned with the continuous broadcast of information and cooperative awareness. It only takes information from one vehicle in a text way and sends it to another. In this regard, efficient and satisfactory safety is not provided by these technologies for the analysis of real-time road traffic monitoring. Therefore in this paper, we proposed a solution by providing real-time information on road conditions and traffic scenarios to the drivers. We utilized the capturing of images of road conditions by the positioned cameras and Global Positioning System (GPS) to extract the information regarding vehicle and camera position. The proposed work provides better security rather than a message-passing system in V2V communication. The drivers in our anticipated scenarios can extract and see a clear view of road conditions by the use of captured videos/images. Our proposed solution copes well with moderate traffic conditions and provides a high satisfaction score. The simulation results show that our proposed work can achieve high performance in the provision of providing safety compared to other schemes introduced in this field.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11042-021-11834-8</doi><tpages>16</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1380-7501
ispartof Multimedia tools and applications, 2022-02, Vol.81 (5), p.6373-6388
issn 1380-7501
1573-7721
language eng
recordid cdi_proquest_journals_2632029793
source SpringerNature Journals
subjects Cameras
Communication
Communications systems
Computer Communication Networks
Computer Science
Data Structures and Information Theory
Driving conditions
Electronic devices
Global positioning systems
GPS
Internet of Things
Message passing
Multimedia Information Systems
Real time
Road conditions
Roads & highways
Security
Special Purpose and Application-Based Systems
Traffic
Traffic information
Traffic safety
Vehicle safety
title An emergency event detection approach in real-time for efficient vehicle safety in Smart City
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-03T00%3A29%3A12IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20emergency%20event%20detection%20approach%20in%20real-time%20for%20efficient%20vehicle%20safety%20in%20Smart%20City&rft.jtitle=Multimedia%20tools%20and%20applications&rft.au=Lal,%20Nidhi&rft.date=2022-02-01&rft.volume=81&rft.issue=5&rft.spage=6373&rft.epage=6388&rft.pages=6373-6388&rft.issn=1380-7501&rft.eissn=1573-7721&rft_id=info:doi/10.1007/s11042-021-11834-8&rft_dat=%3Cproquest_cross%3E2632029793%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2632029793&rft_id=info:pmid/&rfr_iscdi=true