An IoT-Based Congestion Control Framework for Intelligent Traffic Management System
An IoT-Based Congestion Control Framework for Intelligent Traffic Management System
- New search for: Mondal, Md. Ashifuddin
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- New search for: Mondal, Md. Ashifuddin
- New search for: Rehena, Zeenat
The concept of smart city helps to improve the quality of urban life of the citizens while keeping in mind the environmental impacts. Smart and sustainable transportation system is one of the major contributors in order to make the city smart. Major cities around the world face enormous vehicular growth due to socioeconomic growth and rural to urban migration of the people. These results in high traffic congestion on road, road accidents, delay and have an adverse environmental impact, thus effecting smooth mobility of the citizens. Hence, traffic management authorities face difficulties to manage and reduce traffic congestion, road accidents and air pollution. In order to overcome the above-mentioned challenges, this paper proposes a framework for managing road traffic congestion in intelligent traffic management system which utilizes the available infrastructures and resources in an optimum way. The proposed framework comprises of four different modules, namely data collection module, data storage module, data processing module and business application module.
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An IoT-Based Congestion Control Framework for Intelligent Traffic Management System
Advs in Intelligent Syst., Computing
International Conference on Artificial Intelligence and Data Engineering ; 2019 ; Udupi, India May 23, 2019 - May 24, 2019
2020-08-14
11 pages
Article/Chapter (Book)
Electronic Resource
English
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