Smart Vehicle Tracking System Using Internet of Things
Keywords:
Smart Vechicle Tracking, IoT, GPS receiverAbstract
Due to increase in population the burden on public transportation the remote user needs a smart vehicle monitorinng system which provides the information about the bus, such as a current location of the bus and route between the stops. To overcome all the problems of our traditional transportation, we introduced our proposed system called as “ Smart Vechicle Tracking System Using IoT”. This system is based on a newly evolved concept of IoT. We implemented a Raspberry pie kit along with a GPS receiver into the bus which sends the current location of the bus to the server and also, we have an android application for showing that location on map. Raspberry pi is low-cost device with the higher performance.
References
- Balachandar S., Chinnaiyan R. (2019) Centralized Reliability and Security Management of Data in Internet of Things (IoT) with Rule Builder. In: Smys S., Bestak R., Chen JZ., Kotuliak I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore
- Balachandar S., Chinnaiyan R. (2019) Reliable Digital Twin for Connected Footballer. In: Smys S., Bestak R., Chen JZ., Kotuliak I. (eds) International Conference on Computer Networks and Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 15. Springer, Singapore
- Druv patel , Rahul seth, vikas Mishra” real -time bus tracking sysyem “ international research journal of engineering and technology volume: 04 issue :03 – march -2017.
- G Sabarmathi, R Chinnaiyan (2019), Envisagation and Analysis of Mosquito Borne Fevers: A Health Monitoring System by Envisagative Computing Using Big Data Analytics, Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 31), 630-636. Springer, Cham
- G. Sabarmathi and R. Chinnaiyan, "Investigations on big data features research challenges and applications," 2017 International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, 2017, pp. 782-786.
- G. Sabarmathi and R. Chinnaiyan, "Reliable Machine Learning Approach to Predict Patient Satisfaction for Optimal Decision Making and Quality Health Care," 2019 International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2019, pp. 1489-1493
- Hari Pranav A;M. Senthilmurugan;Pradyumna Rahul K;R. Chinnaiyan , "iot and Machine Learning based Peer to Peer Platform for Crop Growth and Disease Monitoring System using Blockchain," 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1-5, doi:
- M Swarnamugi, R Chinnaiyan (2019), IoT Hybrid Computing Model for Intelligent Transportation System (ITS), Proceedings of the Second International Conference on Computing Methodologies and Communication (ICCMC 2018), 802-806.
- M. Swarnamugi ; R. Chinnaiyan, “IoT Hybrid Computing Model for Intelligent Transportation System (ITS)”, IEEE Second International Conference on Computing Methodologies and Communication (ICCMC), 15-16 Feb. 2018.
- M. Swarnamugi; R. Chinnaiyan, “Cloud and Fog Computing Models for Internet of Things”, International Journal for Research in Applied Science & Engineering Technology, December 2017.
- Mohammed F. Alrifaie, Norharyati Harum, MohdFairuzIskandar Othman, IrdaRoslan, Methaq Abdullah Shyaa,“vehical detection and tracking system iot based”, International research journal of engineering and techanology volume:05 isuue: 08 – aug 2018
- Preetika B, ; M. Latha; M. Senthilmurugan; R. Chinnaiyan, , "MRI Image based Brain Tumour Segmentation using Machine Learning Classifiers," 2021 International Conference on Computer Communication and Informatics (ICCCI), 2021, pp. 1-9, doi: 10.1109/ICCCI50826.2021.9402508.
- S G vijaykumari ,Reshma r, b kirthna “Transport tracking using raspberry pi “,international journal of pune and ap-used mathematic volum 119 no.15 june 2018.
- S. Balachandar, R. Chinnaiyan (2019), Internet of Things Based Reliable Real-Time Disease Monitoring of Poultry Farming Imagery Analytics, Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 31), 615- 620. Springer, Cham
- S.Balachandar , R.Chinnaiyan (2018), A Reliable Troubleshooting Model for IoT Devices with Sensors and Voice Based Chatbot Application, International Journal for Research in Applied Science & Engineering Technology,Vol.6,Iss.2, 1406-1409.
- S.Balachandar , R.Chinnaiyan (2018), Centralized Reliability and Security Management of Data in Internet of Things (IoT) with Rule Builder, Lecture Notes on Data Engineering and Communications Technologies 15, 193-201.
- S.Balachandar , R.Chinnaiyan (2018), Reliable Digital Twin for Connected Footballer, Lecture Notes on Data Engineering and Communications Technologies 15, 185-191.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRST

This work is licensed under a Creative Commons Attribution 4.0 International License.