Traffic Response System Based on Data Mining and Internet of Things (Iot) For Preventing Accidents

• Published in: 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022
• Main Author: Lakshmi P.S.; Saxena M.; Koli S.; Joshi K.; Abdullah K.H.; Gangodkar D.
• Format: Conference paper
• Language: English
• Published: Institute of Electrical and Electronics Engineers Inc. 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135489847&doi=10.1109%2fICACITE53722.2022.9823923&partnerID=40&md5=b6484e44cc0b235bb5b6d0c4f71679d4

The study shows that internet of things has now become a vital part of our generation and it has a rapid growth in the field and many people see this as next big thing but they are very much unaware of its norms and benefits it has been estimated that by the end of 2022 to their may be about 50to 60 billion internet of things are going to be installed in our rapid growing world there are numerous benefits of the internet of things in today's fast growing and running world but there are numerous backward points are too which make the internet of things a things that should be handled with care in the right hands basically what are internet of things or the thing we call as IOT so these are the touchable objects which are attached in with sensors, processing abilities, software and other technologies that connect and exchange and process data. so now as our topic is telling us that the numerous attacks has been made on these internet f things so here we will discuss about the how should be the internet of things should be managed and monitored so that the effective monitoring of the Unexpected traffic stops are one of the biggest causes of car accidents, especially on fast-moving roads and motorways with restricted visibility. Other factors such as roadwork, excessive motorised vehicles, particularly during rush hour, and so on can potentially contribute to itFixed traffic sensors put on highways that interact with drivers' mobile Apps through the 4Gbps may usually alleviate this problem; however, comparable equipment is not accessible on all main routes. In this study, we propose an alternate strategy for addressing such a problem by directly installing mobile traffic sensors in individual and/or public cars. such as trains, buses, and volunteer cars. Real-time analysis of enormous volumes of transportation data is crucial in this situation for averting accidents. © 2022 IEEE.