BibTeX:

@article{IJIRSTV2I9077,
     title={Intelligent Traffic Management Systems: A Review},
     author={Saili Shinde and Prof. Sheetal Jagtap},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={9},
     pages={293--298},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I9077.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

Traffic congestion has become a major problem nowadays. Traffic congestion especially occurs in metropolitan cities. Increased air pollution, noise pollution, accidents, delay in travel time etc are some of the problems that are faced by people living in these mega cities. Traffic jams have severely impacted the lives of citizens. The traditional traffic lights deployed in cities are not sufficient to meet the demands of an over-growing city since these traffic lights have specific pre-determined time intervals for changing from red phase to green phase. In this regard several attempts were made to automate the traffic lights based on the density of vehicles on the road. Some authors suggested the use of sensors to determine vehicle count while several others suggested the use of video cameras to capture moving vehicles and perform preprocessing on the videos to obtain vehicle count. This paper summarizes a review on the various methods that were used for the development of an intelligent traffic management system. A detailed comparison of all the methods is provided in this paper along with the pros and cons of every method.

Intelligent traffic system, traffic analysis, traffic signal control, traffic management, reduces traffic congestion, Smart city