DETECTION OF CROWD WITH HELP OF GPS AND ACCELEROMETER USING PARTICIPATORY SENSING

Authors

  • Vasanti Chavda Department of Computer Engineering, Marwadi Education Foundation’s Group of Institution, Rajkot, Gujarat, India

Keywords:

ITS, ATMS, Participatory sensing, mobile sensing, Acceleration based travel mode, Crowd detection

Abstract

In this paper, we have detected crowd with help of the most commonly found sensor in people mobile phones and that is Accelerometer. This is possible because we are using participatory sensing technique. Participatory sensing allows people to participate in collecting data. First, we will define different travel mode and specifically defining it within two mode, that wheel and non-wheel. Non-wheel data are localized with help of GPS that will help detecting crowd. Once the Data collection process is completed, analysis of data will be done by data mining techniques in data mining softwares WEKA and MATLAB. This research is basically focusing on detecting random and unexpected crowd on road that could somehow interrupt daily travelling people and may create obstacle for traffic system in management.

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Published

2021-11-08

How to Cite

Chavda, V. (2021). DETECTION OF CROWD WITH HELP OF GPS AND ACCELEROMETER USING PARTICIPATORY SENSING. International Journal of Technical Innovation in Modern Engineering & Science, 3(4), 95–100. Retrieved from https://ijtimes.com/index.php/ijtimes/article/view/1151