Abstract

India is the most populated country. Traffic control is being a biggest challenge for the traffic police. Though the government is taking the necessary measures to control the traffic, the citizen’s co -operation is less. Reaching the destinations is becoming the major task for the people of busy schedules and hurry which causes violation of traffic rules that lead to traffic congestion and accidents. Death rate is increasing day by day due to more accidents and people are exhausted by the severe traffic congestions. To reduce these traffic congestions and accidents we are proposing a model which will help to ensure the safety of riders and also the traffic congestions. In this paper we have proposed an IoT (Internet of Things) based model which will continuously monitor the values of the sensors attached to the engines and warns the riders through vehicle-to-vehicle applications of connected vehicle technology which has the potential to significantly prevent or reduce the impact of millions of accidents every time when the accident or a traffic congestion are ahead to them.

Highlights

  • India stood in second place in population

  • Reaching the destinations is becoming the major task for the people of busy schedules and hurry which causes violation of traffic rules that lead to traffic congestion and accidents

  • In this paper we have proposed an IoT (Internet of Things) based model which will continuously monitor the values of the sensors attached to the engines and warns the riders through vehicle-to-vehicle applications of connected vehicle technology which has the potential to significantly prevent or reduce the impact of millions of accidents every time when the accident or a traffic congestion are ahead to them

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Summary

Introduction

In this paper we have proposed an IoT (Internet of Things) based model which will continuously monitor the values of the sensors attached to the engines and warns the riders through vehicle-to-vehicle applications of connected vehicle technology which has the potential to significantly prevent or reduce the impact of millions of accidents every time when the accident or a traffic congestion are ahead to them. For the vehicles which are not smarter, we propose a model that monitors the sensors, PIC Micro Controller and LED lights and alarms to make the driver alert from the accidents. As we partook in our blog entry, Safety Trends in Traffic Management, associated vehicle innovation is important for the Intelligent Transportations Systems government activity, and there are numerous dynamic preliminaries around the globe today.

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