Accident Prevention and Traffic Pattern Analysis System for Hilly Regions
V. Ramachandran1, R. Ramalakshmi2, K. Mathankumar3

1V. Ramachandran, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.

2R. Ramalakshmi, Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil (Tamil Nadu), India.

3K. Mathankumar, Department of Computer Science and Engineering, Sree Sowdambika College of Engineering, Aruppukottai (Tamil Nadu), India.

Manuscript received on 08 December 2019 | Revised Manuscript received on 20 December 2019 | Manuscript Published on 30 December 2019 | PP: 827-832 | Volume-9 Issue-2S2 December 2019 | Retrieval Number: B11281292S219/2019©BEIESP | DOI: 10.35940/ijitee.B1128.1292S219

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Abstract: In hilly regions, there will be a number of curves and hairpin bends. The roadway is one of the often-used modes of transport in these regions. Accident rate and death rate in hilly regions are increasing day by day. The roads in this region will definitely have bends and steep curves; hence, it is difficult to see the vehicles coming from the opposite side. The proposed system aims in reducing the risk of driving vehicle in the terrain region with hairpin bends and steep curves. The deployed controller with ultrasonic sensor senses the vehicle coming towards the bend and intimates it to the other side of the bend or curve; it gives three stages of LED alerts to the driver driving the vehicle from the opposite side of the hairpin bend or curve. It also senses the speed of the vehicle, if the vehicle speed is high, it will alert the drivers through the buzzer. These alerts will indirectly convey the drivers to slow down the speed of the vehicle. The foremost focus of the proposed system is to prevent accidents for the drivers and passengers in order to decrease the death rates in hilly regions. This system also provides a way for analyzing the number of uphill and downhill vehicles in the hill stations by storing the data in the cloud. The analyzed data is be viewed over the internet through a web application. The web application serves as a traffic pattern analyzer for people who wish to travel by that road.

Keywords: Accident Prevention, Downhill, Hilly Regions, Internet of Things- IoT, Traffic Pattern, Uphill.
Scope of the Article: Pattern Recognition