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dc.contributor.advisorKazi, Sadia Hamid
dc.contributor.advisorShakil, Arif
dc.contributor.authorIslam, Nayem-Ul
dc.contributor.authorZahid, MD. Tanvir
dc.contributor.authorZakwan, Kazi Fahd
dc.date.accessioned2021-10-17T05:57:04Z
dc.date.available2021-10-17T05:57:04Z
dc.date.copyright2021
dc.date.issued2021-01
dc.identifier.otherID 17101380
dc.identifier.otherID 17101505
dc.identifier.otherID 17101357
dc.identifier.urihttp://hdl.handle.net/10361/15266
dc.descriptionThis thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.en_US
dc.descriptionCataloged from PDF version of thesis.
dc.descriptionIncludes bibliographical references (pages 40-42).
dc.description.abstractWith the rapid growth of population and number of vehicle, trac collision and volume of accident is increasing rapidly. The lack of awareness, road condition, driver’s physical condition, car’s states are main causes behind the accident. As individuals need to drive vehicles at a daily basis, a model can be implemented in a smart manner which can detect and prevent road accidents. One of the benefits of IoT is the capability to make things more consistent and productive. The architecture of IoT enables us to connect sensors together which then can perform certain task by sending and receiving data from one to another. This work will have a huge contribution on road safety by the help of WBAN(Wireless Body Area Network), IoT(Internet of Things) sensors and GPS(Global Positioning System). There have been many studies on road safety techniques which includes improper driving detection, accident prevention, distance sensing, negligent driving detection and weather related events. This study will o↵er a IoT based model that will reduce the road accident using WBAN.en_US
dc.description.statementofresponsibilityNayem-Ul-Islam
dc.description.statementofresponsibilityMD. Tanvir Zahid
dc.description.statementofresponsibilityKazi Fahd Zakwan
dc.format.extent42 pages
dc.language.isoenen_US
dc.publisherBrac Universityen_US
dc.rightsBrac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subjectwireless body area networken_US
dc.subjectInternet of Thingsen_US
dc.subjectGlobal positioning systemen_US
dc.subjectImproper driving detectionen_US
dc.subjectNegligent driving detectionen_US
dc.subjectAccident avoidanceen_US
dc.subject.lcshInternet of Things
dc.titleIoT based Road accident controlling model using Wireless Body Area Network and GPSen_US
dc.typeThesisen_US
dc.contributor.departmentDepartment of Computer Science and Engineering, Brac University
dc.description.degreeB. Computer Science


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