Location Tracking System using GPS
Mageshkumar C1, Balakrishnan A2, Dhanasekaran S3, Gaddam Mahesh4, Pinkesh Khanna K5
1Mageshkumar C*, CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
2Balakrishnan A, CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
3Dhanasekaran S, CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
4Gaddam Mahesh, CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
5Pinkesh Khanna K, CSE, Sri Shakthi Institute of Engineering and Technology, Coimbatore, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 30, 2020. | Manuscript published on April 10, 2020. | PP: 1730-1733 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4628049620/2020©BEIESP | DOI: 10.35940/ijitee.F4628.049620
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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: For most city travelers, the arrival time of busses is the key detail. Excessively long waiting times at bus stops also deter and make relevant travelers from taking buses. In this paper, a method of bus arrival time prediction is presented based on participatory passenger sensing.With commodity cell phones,t he local environmental history of bus passengers is effectively gathered and used to predict bus travel routes and forecast bus arrival times at different bus stops. The proposed program relies entirely on the participating users ‘joint efforts and is independent of the bus operating companies, In this way, universal bus service support can be effectively introduced without the need for funding from different bus operating companies. The resort to more commonly accessible and energy-e fficient sensing devices, including cell tower signals, movement st atuses, audio recordings, etc., instead of referring to location information permitted by GPS,Which puts less pressure on the in volved party and encourages its involvement. A prototype system is designed with various types of Android based cell phones and an extensive trial duration of 7 weeks with the NTU campus shuttle buses as well as Singapore city buses. The test results indicate that the program proposed achieves excellent predictive accuracy compared to the solutions implemented by certain bus operators and supported by GPS. Further implementing the system and conducting 4-day rapid trials with London bus system, indicating quick implementation o f the proposed system and promising city-wide results. At the same time, the proposed solution is available in more general terms and is energy efficient.
Keywords: Bus Detection, GPS, Location Tracking, Sensor.
Scope of the Article: Smart Solutions – Wearable Sensors and Smart Glasses