Traffic Congestion Monitoring and Management by using IOT
R. Mahender Reddy1, K Nishanth Rao2, S V S Prasad3
1R. Mahender Reddy, Graduate, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India.
2K. Nishanth Rao, Assistant Professor, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India.
3S. V. S. Prasad, Professor, HOD, Department of Electronics and Communication Engineering, MLR Institute of Technology, Hyderabad, India.
Manuscript received on 20 August 2019 | Revised Manuscript received on 27 August 2019 | Manuscript Published on 31 August 2019 | PP: 688-689 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I11410789S219/19©BEIESP DOI: 10.35940/ijitee.I1141.0789S219
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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: In this day and age, congested driving conditions during surge periods are one type of the real apprehensions. During flood days, emergency vehicles are trucks slow down out in jams. Along these positions, the emergency automobiles are not equipped to complete their objectives on time, it will leads into lost human lives. In this paper proposed to avoid such type of issues, in this paper presented on a self-ruling 2-level framework which will help in the recognizable proof of crisis vehicles or some other wanted vehicle. Here designed the IOT based structure, it will monitor and managing the traffic situation continuously.
Keywords: Ardunio Controller, Sensors, RFID, IOT Module.
Scope of the Article: Network Traffic Characterization and Measurements