Intelligent Traffic Management with Internet of Things (IoT) and Big Data | Original Article

ABSTRACT:

Congestion is a big menace. The integration of big data and Internet of things cloud platform, with a network of interconnected cars and sensors, means that traffic management is getting smarter and more efficient. The concept of big data and IoT means that the quantity of traffic which should be allowed to roll out at a particular time can be regulated. Information can be collected in real time with the use of sensors, cameras, wearable gadgets and smart devices. With the rapid surge of connected vehicles, agencies and startups are using data analytics and mobile networks to help cities manage traffic more efficiently. To manage traffic flow real time traffic density management using IOT is used. It helps in optimization of traffic switching controls traffic flow and prevent congestion's. These aspects are been made available on website to displays the traffic status, so that people will get early update and can avoid traffic jam and have alternative path. At time of Emergency vehicle can get early access to reach their destination. The smart-traffic decision support system is born under the institution of big data analytics. It breaks down information into chunks and helps to share this information across multiple systems and departments. The solution collects all forms of traffic information using sensors to facilitate real-time traffic monitoring and control. Additionally, the solutions feature the ability to predict traffic trends based on realistic simulations and mathematical model. The aim of all this system is to assist decision-makers via reliable and scientific information.