dc.contributor.advisor | Kazi, Sadia Hamid | |
dc.contributor.advisor | Shakil, Arif | |
dc.contributor.author | Islam, Nayem-Ul | |
dc.contributor.author | Zahid, MD. Tanvir | |
dc.contributor.author | Zakwan, Kazi Fahd | |
dc.date.accessioned | 2021-10-17T05:57:04Z | |
dc.date.available | 2021-10-17T05:57:04Z | |
dc.date.copyright | 2021 | |
dc.date.issued | 2021-01 | |
dc.identifier.other | ID 17101380 | |
dc.identifier.other | ID 17101505 | |
dc.identifier.other | ID 17101357 | |
dc.identifier.uri | http://hdl.handle.net/10361/15266 | |
dc.description | This 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.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 40-42). | |
dc.description.abstract | With 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.statementofresponsibility | Nayem-Ul-Islam | |
dc.description.statementofresponsibility | MD. Tanvir Zahid | |
dc.description.statementofresponsibility | Kazi Fahd Zakwan | |
dc.format.extent | 42 pages | |
dc.language.iso | en | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac 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.subject | wireless body area network | en_US |
dc.subject | Internet of Things | en_US |
dc.subject | Global positioning system | en_US |
dc.subject | Improper driving detection | en_US |
dc.subject | Negligent driving detection | en_US |
dc.subject | Accident avoidance | en_US |
dc.subject.lcsh | Internet of Things | |
dc.title | IoT based Road accident controlling model using Wireless Body Area Network and GPS | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science | |