An Innovation Model for Smart Traffic Management System Using Internet of Things (IoT)

Abstract

Traffic management is the focus area for most urban dwellers and planners. Congestion is the most important major obstacle that has been seen in many countries including India. Countries To avoid this obstacle means how to manage the traffic smoothly. Traffic congestion mainly focuses on the signals failure, reduced law enforcement and improper traffic management. Existing foundation can’t be extended increasingly and subsequently the main choice accessible is to enhance the administration of the traffic. Traffic congestion is not a good sign for our country as well as it creates a negative impact starting from economy to the leaving standard. Consequently the opportunity has already come and gone to viably deal with the traffic congestion. Many methods are designed to manage the traffic and minimize the congestion. Out of all the techniques, infrared sensor, inductive loop detection, video data analysis, wireless sensor network, etc. are used to somewhat solve the congestion in the traffic and to manage the traffic smartly. But in the above said methods having some demerits like much time to take for installation, maintenance cost is very high. Actually, our objective is to develop a new technology or method; that will solve the above problems and produce better result within a stipulated time. To overcome the challenges, a new method arises called as Radio Frequency Identification (RFID). By this innovation, it will require less time for establishment with lesser expenses when contrasted with different strategies for traffic blockage administration. Utilization of this new innovation will prompt lessened traffic jam. It refers to small electronic devices that consist of a small chip and an antenna. It plays a vital role in intelligent traffic management system technologies to sense the presence and movement of tagged objects; the traffic will be monitored and managed automatically using this system. The data collected from this system will be sent to a centralized server for further analysis. Moreover, the traffic signal lights at crossing points are based on traffic density of roads intersecting at that point. This chapter discusses about an architecture which integrates Internet of things and other moving components like data management techniques to create a model for traffic management and monitoring. The model comprises of a single platform where this platform will communicate with the large number of decentralized heterogeneous components.