Intelligent Vehicle Speed Controlling and Pothole Detection System

Author:

Anand Aditya,Gawande Rushiraj,Jadhav Prathamesh,Shahapurkar Rima,Devi Anjali,Kumar Nikhil

Abstract

Speed is the single largest killer on India’s roads. The higher the speed, the greater the impact and the more the chances of grievous injury and death. This is why speed management is something which needs to be seriously considered. Here is an approach to build a system which reduces the number of accidents due to driver’s negligence of over speeding. We are proposing a Dynamic Speed Limiter with the help of machine learning algorithm which will help in reducing the accidents caused due to over speeding and rash driving of vehicles on road. The proposed system set the maximum speed of vehicle with the help of sign board available on the roads which define the safe driving speed of vehicle for that area or road. Also to solve the potholes we are using ML algorithm and mobile phone accelerometer to detect the potholes, accelerometer vibrations are set. After detecting the vibrations, the location (i.e. longitude and latitude) is marked on the GPS, commuters will get information about potholes.

Publisher

EDP Sciences

Reference9 articles.

1. Sandhu K. K., IndiaToday, Over 9300 deaths, 25000 injured in 3 years due to potholes, (2018).

2. Lattner A. D., Miene A., and Herzog O., Springer, A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions, Adaptive Multimedia Retrieval pp 185-199, (2003)

3. Forson E., Towards Data Science, Recognising Traffic Signs With 98% Accuracy Using Deep Learning, (2017).

4. Doshi S., Towards Data Science, Traffic Sign Detection using Convolutional Neural Network, (2019)

5. Biswas R., Fleyeh H., Mostakim M., IEEE, Detection And Classification Of Speed Limit Traffic Signs, 10.1109/WCCAIS.2014.6916605, ( 2014)

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Comparative Analysis and Evaluation of Pothole Detection Algorithms;Lecture Notes in Networks and Systems;2023

2. Pothole Detection Using YOLOv2 Object Detection Network and Convolutional Neural Network;Advances in Intelligent Systems and Computing;2021-07-21

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