INTELLIGENT TRAFFIC SYSTEM FOR URBAN CONDITIONS USING REAL TIME VEHICLE TRACKING

Abstract

The project "Smart Urban Transport System Using RealTime Driving Time" demonstrates complex solutions that use technology to improve urban traffic management. The system aims to improve traffic flow, reduce congestion and improve overall city mobility by using realtime traffic monitoring and intelligent data processing. With the integration of cuttingedge technology and intelligence, the project solves the problems created by rapid speed in the city by supporting traffic management and efficient allocation of resources. , smart cities, traffic management, Internet of Things (IoT), sensor networks, machine learning, traffic flow optimization, transportation technology. The adoption and use of technology such as social platforms has enabled the average user to use small, focused applications that make their lives easier and more comfortable when live streaming. Whether it's paying your utility bills using mobile banking or buying tickets to your favorite movie with just a few clicks, technology has changed the way we live, play and work. Having talked for a while about smart cities and communities, let's look at how we can use data and information to create some smart services that will better help our lives. We will discuss the most important issue that affects us almost every day: traffic management. Traffic management can be easily done with technology and instant analysis. One of the main causes of traffic accidents is traffic congestion, where some lanes have less traffic than others. Traffic congestion is increasing exponentially. Take the example of Chandigarh, one of the National Districts of India. Chandigarh has the highest car ownership per capita in India. According to the Chandigarh Transport Authority, more than 45,000 vehicles were registered in Chandigarh this year, taking the total number of vehicles on the roads to over 8 million. Although the number of vehicles is increasing rapidly, the city's infrastructure cannot keep up with this growth. Traffic congestion during rush hour has become a daily occurrence, especially in inland areas where traffic accidents are normal. Therefore, we are trying to solve this problem with our project focusing on reducing traffic congestion. And ultimately, when a traffic signal is used, the speed of traffic will also become an important factor in the decision.