ADVANCED STUDY OF SMART ROAD SAFETY USING SENSOR TECHNOLOGY

Today, injuries sustained in motor vehicle accidents are one of the top causes of fatalities, impairments, and hospitalisations throughout the nation. The road network in India is one of the biggest in the world, with around 56 million km as of March 2016. During the calendar year 2017, the states and union territories (UTs) combined to record a total of 4, 64,910 road accidents, which resulted in the deaths of 1,47,913 people and injuries to 4,70,975 others. According to these numbers, there are an average of 1274 accidents and 405 fatalities per day, which breaks down to 53 accidents and 17 fatalities every hour throughout the nation. At least one person loses their life in a motor vehicle collision per minute on average. At least ten million individuals are injured each year as a result of automobile accidents, with two to three million of those injuries being considered severe. It is anticipated that the expense of medical care, repairs to destroyed property, and other expenditures will amount to one percent to three percent of the global gross domestic product. Pre-crash sensing is rapidly becoming a field of active study among automobile manufacturers, suppliers, and universities, with the goals of lowering the number of injuries and the severity of accidents. Descriptive and experimental investigations that support inquiry techniques to have a thorough understanding of the issue were used as the research methodology for the current endeavor. This included historical study, content analysis, and experimental verification. After the issue has been defined, data has been gathered from a variety of sources, including open-ended questions that are included and online sites for data on road accidents, such as the Ministry of Road Transport and Highway of the Government of India. The main causes of traffic accidents and the requirements for collisions were examined. A safety bit-based method was designed in step 5. Simulated the safety application using various network settings in various scenarios, including city, highway, and junction scenarios. Simulated outcomes, lab and field test trails, and a performance comparison of the safety strategy were done in steps 8 and 9, respectively. The thesis was the culmination of the research.