Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14365/3506
Title: A Shuttle Route Divergence Detection System
Authors: Korkmaz I.
Ozturk S.D.
Keywords: machine to machine
peer to peer
route divergence
smart tracking system
tracking information system
Intelligent systems
Tracking (position)
Turing machines
Data-communication
Detection system
Machine to machines
Management servers
Peer-to-peer communications
Prototype system
Rule based algorithms
Tracking system
Peer to peer networks
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: Shuttle Route Divergence Detection System is a mobile tracking information system designed for parents to follow the safety of their children who are transported by shuttle buses on regular routes. Main purpose of the system is to provide the parents with a tracking system to monitor their children when they are far away from the home. With the help of the system, the parents will be informed about the location of their children and can early intervene in unusual circumstances. The tracking system developed uses a rule based algorithm to learn and compare the routes with operating data which are written in the database. The system runs in a machine to machine approach using peer to peer communication. The prototype system implemented includes three main devices: parent's PC, child's smartphone, and a management server. Child's mobile phone informs the parent about its location via GPS; parent's computer learns the routes of the shuttle vehicle carrying the child; server provides re-establishment of the data communication between child's and parent's devices. The system is able to warn the parents immediately if the shuttle bus diverges out from any part of the learned route. © 2020 IEEE.
Description: 2020 Innovations in Intelligent Systems and Applications Conference, ASYU 2020 -- 15 October 2020 through 17 October 2020 -- 165305
URI: https://doi.org/10.1109/ASYU50717.2020.9259829
https://hdl.handle.net/20.500.14365/3506
ISBN: 9.78173E+12
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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