Pollution Based Traffic Control System using Internet of Things
N V V N J Sri Lakshmi1, K Durga Bhavani2, O Tejaswi3, K Swapna Bhanu4, N Aswini5, K Mahima6
1N V V N J Sri Lakshmi, Department of Electronics and Communication, KLEF, Vaddeswaram , A.P, India.
2K Durga Bhavani, Department of Electronics and Communication, KLEF, Vaddeswaram, A.P, India.
3O Tejaswini, Department of Electronics and Communication, KLEF, Vaddeswaram , Andhra Pradesh, India.
4K Swapna Bhanu, Department of Electronics and Communication, KLEF, Vaddeswaram , Andhra Pradesh, India.
5N Aswini, Department of Electronics and Communication, KLEF, Vaddeswaram, Andhra Pradesh, India.
6K Mahima, Department of Electronics and Communication, KLEF, Vaddeswaram, Andhra Pradesh, India.
Manuscript received on 05 May 2019 | Revised Manuscript received on 12 May 2019 | Manuscript published on 30 May 2019 | PP: 953-956 | Volume-8 Issue-7, May 2019 | Retrieval Number: G5292058719/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Traffic congestion is the extreme concerned problem in enormous cities around the world. As the traffic increases at the signal zone area, automatically the area is polluted with harmful gases. The architecture of our proposed design is implemented on the traffic signaling junction point. In the signaling area, the road junctions are fully cooperated with the gas sensor. This gas sensor is interfaced with the ESP8266 Micro controller, which observes the traffic density and increase the time delay by traffic congestion. The circulation method of signaling system is further implemented by the extension of adding the MQ series gas sensor. By using the Wi-Fi microcontroller, the pollution data from the gas sensor is uploaded in the cloud with the service ‘ubidots’ using Internet of Things (IoT) technology. The Application programming interface (API) in the cloud will store the values of the MQ sensor data. This data will be continuous visualized in the dashboard for the incoming status of the road junction pollution. By observing the pollution at the signal area, the time interval is increased to clear the traffic. Thus, heavy traffic movement thickness is reduced and allow the citizens to flow the traffic easily.
Keyword: MQ series-based gas sensor, Internet of Things, Traffic density, Internet of Things
Scope of the Article: Internet of Things