Indian Journal of Radio & Space Physics

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Intelligent transportation system and smart traffic flow with IOT


Affiliations
1 Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India
2 Department of Mechatronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India
 

There has been an increase in vehicles across the globe. Also, the congestion due to traffic has leapfrogged in India. The traffic flow information has been required to find out the route with minimum congestion and forecast the traffic. And this has been a part of the Intelligent Transportation System (ITS) which would help build smart cities. A lot of work has been done on the traffic measurement system. But the integration of emerging techniques such as the Internet of Things (IoT) and cloud computing has provided a lot of research scope in ITS. This paper has proposed an IoT-based method to determine the real-time traffic flow in a road section with ultrasonic sensors, Arduino, ESP8266 Wi-Fi module, and an open-source cloud. There has been an average traffic flow every five minutes to be displayed in the cloud platform. This method can be very much cost-effective with less power consumption and improved accuracy. Hence, the proposed IoT-based technique has provided the traffic flow data, and this data shall further be used for traffic predictions using machine learning algorithms.
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  • Intelligent transportation system and smart traffic flow with IOT

Abstract Views: 133  |  PDF Views: 94

Authors

Hariharan Kaluvan
Department of Electronics and Communication Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India
Praveen Kumar Baskar
Department of Mechatronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India
Shanmugam Ramanathan
Department of Mechatronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India
Shriram Sundar
Department of Mechatronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India
Sridhar Jeyaram
Department of Mechatronics Engineering, Thiagarajar College of Engineering, Madurai, Tamil Nadu 625 015, India

Abstract


There has been an increase in vehicles across the globe. Also, the congestion due to traffic has leapfrogged in India. The traffic flow information has been required to find out the route with minimum congestion and forecast the traffic. And this has been a part of the Intelligent Transportation System (ITS) which would help build smart cities. A lot of work has been done on the traffic measurement system. But the integration of emerging techniques such as the Internet of Things (IoT) and cloud computing has provided a lot of research scope in ITS. This paper has proposed an IoT-based method to determine the real-time traffic flow in a road section with ultrasonic sensors, Arduino, ESP8266 Wi-Fi module, and an open-source cloud. There has been an average traffic flow every five minutes to be displayed in the cloud platform. This method can be very much cost-effective with less power consumption and improved accuracy. Hence, the proposed IoT-based technique has provided the traffic flow data, and this data shall further be used for traffic predictions using machine learning algorithms.