• Sakshi Kathuria
• Dr. Sanjay Pachauri

Traffic management system is considered as one of the major dimensions of a smart city. With the rapid growth of population and urban mobility in metropolitan cities, traffic congestion is often seen on roads. To tackle various issues for managing traffic on roads and to help authorities in proper planning, a smart traffic management system using the Internet of Things (IoT) is proposed in this paper. Traffic stream processing involves linking everything the differing time accessible to traffic flow rate of available vehicles on a highway and intelligent traffic platform allocation of that uses traffic signals in real time. Another traffic management system, called smart traffic control, was created to cope with issues of pollution and to further optimize traffic flow on roads. This study describes a method for the substantial growth of traffic flow as well as well as conventional device alternatives that are capable of meeting traffic needs that works well in major cities, but isn't flexible enough to cope with the new needs. Traffic management techniques proposed using the state-of-the-art methodology are focused on keeping an eye on the overall road infrastructure stability rather than on only individual behavior. Traffic intensity is able to adjust the timing of the signal according to the specific location of the roadside, rendering traffic control feasible, and even by interacting with the local system more accurately than ever before. And in the event of a local computer or server outage, the device is able to function as a little more effectively with a decentralized method. This research has ultimate goal to illustrated the traffic pattern study and simulate it in the time domain to analysis the real time traffic situation. This paper explores the Nodes Selection Algorithm which has mathematically presented in this thesis and encapsulate the formulation in MATLAB to construct the GUI. The GUI is the basic interface which has the arrival, discharge, old discharge of traffic nodes. The even created in this simulation has further categorized in three plans having three different time patterns of one hours, thirty mins and last small observation as 15 mins. This also has two specials phase introduced as statical and dynamic situation. The statical situation basically a non-changeable real time scenario where as the dynamic situation has conferred with real involvement of change due to external traffic controller in real time.

Traffic management system, Traffic stream processing, Nodes Selection Algorithm, MATLAB

"An Implementation of Nodes Selection Algorithm for Smart Traffic System Optimization in MATLAB GUI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.b559-b567, July-2021, Available :http://www.jetir.org/papers/JETIR2107199.pdf

"An Implementation of Nodes Selection Algorithm for Smart Traffic System Optimization in MATLAB GUI", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppb559-b567, July-2021, Available at : http://www.jetir.org/papers/JETIR2107199.pdf