Automatic detection of vehicle congestion by using roadside unit

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dc.contributor.authorAbbood, Zainab Ali
dc.contributor.authorIlyas, Muhammad
dc.contributor.authorAydın, Çağatay
dc.contributor.authorMahmoud, Mahmoud Shuker
dc.contributor.authorAbdulredha, Nida
dc.date.accessioned2022-09-30T08:17:59Z
dc.date.available2022-09-30T08:17:59Z
dc.date.issued2021en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Elektrik ve Bilgisayar Mühendisliği Ana Bilim Dalıen_US
dc.description.abstractThe presence of Roadside Units (RSUs) helps network loads to be expanded to the other nodes that have already been far away from frequent node exposure. We proposed in this work utilizing the mobile node to operate as a roadside unit and operate data packet routing such as roadside units does. The main problem of utilizing the huge number of roadside units is the spending of huge time for data provision by a reduction in performance. Also, in this paper, we attempt using the various number of mobile nodes such as roadside units that are different from traditional roadside units such as the past is fixed and the second is active as a movement previous. The proposed method was executing by utilizing ad hoc on demand distance vector (AODV) routing is a path protocol for mobile ad-hoc networks (MANETs) and other wireless ad-hoc networks, this protocol designed for usage of ad-hoc mobile networks. Also, it's an active protocol, the routes are made only when they are needed, common routing tables, one entry single destination, and supplement numbers in conformity with determine whether routing information is up- to-date and to forestall routing loops. In this paper, mobile vehicles move randomly on highways, so in the event of a collision is too high, it is assumed that the vehicle will stop, and the collision site will be subject to accommodate more than one vehicle. Where vehicles are driven at high speed. Due to the driver's ignorance of the accident area, they can enter it, and thus the problem is magnified. The results achieved shows that numerous mobile nodes as a roadside unit may enhance the communication according to the computation of the average time delay and the link duration of the connection and reconnecting each node. Therefore, the results may reduce the delay time and maintain the connection for a longer period, as shown in the fourth simulation model.en_US
dc.identifier.citationAbbood, Z. A., Ilyas, M., Aydın, Ç., Mahmoud, M. S., Abdulredha, N. (2021). Automatic detection of vehicle congestion by using roadside unit. 2021 IEEE World AI IoT Congress (AIIoT), 0349-0355.en_US
dc.identifier.endpage0355en_US
dc.identifier.isbn9781665435680
dc.identifier.scopus2-s2.0-85113364548
dc.identifier.scopusqualityN/A
dc.identifier.startpage0349en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2969
dc.identifier.wosWOS:000853024300057
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAbbood, Zainab Ali
dc.institutionauthorIlyas, Muhammad
dc.institutionauthorAydın, Çağatay
dc.language.isoen
dc.relation.ispartofIEEE World Ai Iot Congress (Aiiot)
dc.relation.isversionof10.1109/AIIOT52608.2021.9454197en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectADOVen_US
dc.subjectLink Durationen_US
dc.subjectMANETen_US
dc.subjectRoutingen_US
dc.subjectRoadside Units (RSUs)en_US
dc.subjectTime Delayen_US
dc.titleAutomatic detection of vehicle congestion by using roadside unit
dc.typeConference Object

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