Improvement in economic conditions and increased standard of living has made it possible for most of the people to own multiple vehicles for personal commute. These increased number of vehicles specifically four-wheeler and heavy vehicles while running on roads causes frequent traffic jams and longer commute time specifically in crowded areas. Unfortunately, putting restrictions on use of vehicles, cannot be the solution for such problems. Instead, a solution pertaining to efficient traffic management can help here. Today’s urban cities are prone to face traffic related problems due to increased four-wheeler and two-wheeler uses. To deal with such kind of issues, Smart Cities uses smart traffic management system, which is considered as necessity rather just a requirement. In this paper, a Smart Traffic Management System: iSMART based on IOT Sensors, image processing, GPS and Data Analytics based solution is proposed. iSMART system is not only easy to install and use but also more efficient than many other typical traffic management systems claiming to be smart. It provides route optimization planner based on real time traffic data analysis and considering various traffic situations. The paper has also discussed details of various existing traffic managements systems and their typical features.
Advanced Traffic Management System using A Fuzzy Logic Controller to Differentiate Parking Vehicle and Moving Vehicle