• Samruddhi Dhote
• Prof. S. B. Duttargi
• Rameshawari Palange
• Jayashri Sasane
• Rakshanda Wandreakar

The bus companies generally provide bus timetables on the web. Such bus timetables only provide limited information (e.g. operating hours, time intervals) which are not timely updated according to instant traffic conditions. Although many commercial information providers offer the real time bus arrival prediction information the service usually comes with prestigious cost. State of the art systems provide this meta data by means of an in vehicle device which accepts driver input, such as the current route, as well as by estimating arrival times based on current vehicle location, past travel time and the official route schedule. The main objective of our system is to develop an android application to provide real time bus arrival information. This system use real-time vehicle tracking using a Global Positioning System (GPS) technology module to receive the location of the vehicle. There will also be an android application which will give real time schedule of buses. Also it can give quick and real time replay for enquiry, via server. Also in case of bus failure or breakdown, the notification will be sent to system, with Bus location. If a user don’t have a mobile phone he can get information of buses at his bus stop for all the buses which are going from that bus stop, and for the passengers inside the bus we are providing a screen on that screen we can display the current bus stop, next bus stop and last stop.

Keywords— Bus arrival time prediction, GPS, location tracking.

" PREDICTING BUS ARRIVAL TIME USING GPS AND MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.305-308, May-2019, Available :http://www.jetir.org/papers/JETIR1905647.pdf

" PREDICTING BUS ARRIVAL TIME USING GPS AND MACHINE LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp305-308, May-2019, Available at : http://www.jetir.org/papers/JETIR1905647.pdf