Publication Type : Conference Paper
Thematic Areas : Wireless Network and Application
Publisher : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI).
Source : 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (2017)
Url : https://ieeexplore.ieee.org/document/8125890
Keywords : Android, Android (operating system), Android application, Arduino, arrival time forecasting, arrival time prediction, cellular radio, Cloud, Communication technologies, Global positioning system, GPS, GSM/GPRS, Hardware, Internet of things, IoT based school bus tracking, IoT based system, Kalman filtering, Microcontroller, Microcontrollers, missing students, Modems, Object Tracking, packet radio networks, radiofrequency identification, Real-time systems, Receivers, RFID, RFID-GPS-GSM-GPRS technologies, school bus monitoring system, vehicle tracking
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA)
Department : Computer Science, Computer Science and Engineering, Wireless Networks and Applications (AWNA)
Year : 2017
Abstract : Nowadays, parents are perturbed about school going children because of the increasing number of cases of missing students. On occasion, students need to wait a much longer time for arrival of their school bus. There exist some communication technologies that are used to ensure the safety of students. But these are incapable of providing efficient services to parents. This paper presents the development of a school bus monitoring system, capable of providing productive services through emerging technologies like Internet of Things (Iota). The proposed IoT based system tracks students in a school bus using a combination of RFID/GPS/GSM/GPRS technologies. In addition to the tracking, a prediction algorithm is implemented for computation of the arrival time of a school-bus. Through an Android application, parents can continuously monitor the bus route and forecast arrival time of the bus.
Cite this Research Publication : Jisha R. C., Jyothindranath, A., and Kumary, L. S., “Iot based school bus tracking and arrival time prediction”, in 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2017.