In the world today, urban mobility is one of the unprecedented challenges to be tackled in a big city's administration. This paper analyzes the ever- urban population around the world and discusses the traffic systems in densely populated towns. In addition, it proposes an advanced traffic management system, implemented using the Internet of Things (IoT).The system is supported by a circuit built into the vehicle, which operates with clustered systems using RFID. The system's functionalities include efficient control of traffic light, identification of stolen vehicle and anti-theft security mechanism. Presentation of the proposed architecture and work with Hadoop involving Big Data Analytics.Moreover, supervised learning techniques are proposed that would help determine road standard, estimate overall traffic flow, calculate average speed on a road of distinct types of vehicles, and analyze travel path of a vehicle.
Internet of Things (IoT), IR(infrared) sensor, Quadriplegia, Raspberry pi,RFID (radio frequency identification)
K. Dharmendra , K. Venkata Sai Tharun , K. Sagar Kiran , M. Sai Chenna Kesava Rao "Intelligent Automatic Traffic Control On Time Basis" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 23-28
K. Dharmendra , K. Venkata Sai Tharun , K. Sagar Kiran , M. Sai Chenna Kesava Rao "Intelligent Automatic Traffic Control On Time Basis" Iconic Research And Engineering Journals, 3(10)