Smart Transportation Tracking Systems Based on the Internet of Things Vision

Abstract

In recent years, people pursue smarter and faster options for fast-paced modern lifestyles. As a result of that many technologies have emerged, and the vehicle tracking based on the Internet of Things technology is one of these. This chapter aims to examine cutting-edge vehicular tracking systems based on the Internet of Things (IoT). For this purpose, raw data from 30 peer-reviewed research publications (2014 - 2018) were selected and extracted. Critical parameters such as: measuring attributes of the moving vehicle, sensors and actuators used for data obtaining in tracking devices, data transferring methods for transmission, networks and protocols utilized for communication, utilized stock for data storage, programming languages or systems and algorithms utilized for raw data analysis. The investigation demonstrated that (i) a large portion of the IoT sensors and actuators are centered on the primary location tracking system in cloud data centers can be handled remotely by retrieving real-time data, (ii) The GPS sensors widely use in vehicle tracking systems followed by the RFID technology (iii) Wi-Fi network are the most popular network while GSM/GPRS TCP/UDP protocols are the best transport layer protocol (iv) Mostly used storage method was observed as the cloud for the smart vehicle tracking systems, and (v) Kalman filter was the most popular algorithm in vehicular tracking systems. Moreover, the most critical advantage of using IoT for tracking systems are the effectiveness, security and intrusion of protection for the passengers. The security administration can monitor students by remotely tracking their RFID sensor tags or any IoT sensor embedded in the tracking unit. This paper review provides a sensible information for the road offices innovative experts, correspondence technologists and technological innovation researchers on the IoT based smart vehicle tracking frameworks.

Full text

1/19/2020 Smart Transportation Tracking Systems Based on the Internet of Things Vision | SpringerLink
https://link.springer.com/chapter/10.1007/978-3-030-36167-9_7 1/11
Smart Transportation Tracking Systems
Based on the Internet of Things Vision
Connected Vehicles in the Internet of Things pp 143-166 | Cite as
W.K.A.UpekshaK.Fernando (1)
RuwaniM.Samarakkody (1)
MalkaN.Halgamuge (2)Email author (malka.nisha@unimelb.edu.au)
1.School of Computing and Mathematics, Charles Sturt University, , Melbourne,
Australia
2.Department of Electrical and Electronic Engineering, The University of Melbourne, ,
Parkville, Australia
Chapter
First Online: 14 January 2020
Abstract
In recent years, people have pursued smarter and faster options for fast-paced modern
lifestyles. This is in response to many technologies that have recently emerged. Vehicle
tracking systems based on the Internet of Things (IoT) technology is one of these. This
chapter aims to examine the IoT-based cutting-edge vehicular tracking systems. For
this purpose, 30 peer-reviewed research publications, from 2014 to 2018, were
selected and raw data was extracted. Selection was based on certain critical parameters
such as: measuring attributes of the moving vehicle, sensors and actuators used for
data obtaining in tracking devices, data transferring methods for transmission,
networks and protocols utilized for communication, utilized stock for data storage,
programming languages or systems, and algorithms utilized for raw data analysis. The
investigation demonstrated that (i) a large portion of the IoT sensors and actuators
were centered on the primary location tracking system in cloud data centers that can
be handled remotely by retrieving real-time data, (ii) The GPS sensors widely use in
vehicle tracking systems were based on the RFID technology, (iii) Wi-Fi networks were
the most popular networks while GSM/GPRS and TCP/UDP protocols were the best
transport layer protocols, (iv) most used storage method was observed as the cloud for
smart vehicle tracking systems, and (v) Kalman filter was the most popular algorithm
in vehicular tracking systems. Moreover, the most critical advantage of using IoT for
tracking systems was the effectiveness, security, and intrusion of protection for the
passengers. The security administration could monitor students by remotely tracking
their RFID sensor tags or any IoT sensor embedded in the tracking unit. This chapter
also reviews and provides relevant information for road traffic officers and related
experts, correspondence technologists, and technological innovation researchers on
the IoT-based smart vehicle tracking frameworks.
Keywords

1/19/2020 Smart Transportation Tracking Systems Based on the Internet of Things Vision | SpringerLink
https://link.springer.com/chapter/10.1007/978-3-030-36167-9_7 2/11
1.
2.
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4.
Internet of Things IoT Smartcities Transporttracking system
Intelligent transportation system Cloud
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Notes
Author Contribution and Acknowledgements
U.F and M.N.H conceived the idea of the study and developed the analysis plan. U.F
analyzed the data and developed the initial paper. M.N.H helped to prepare the figures
and tables and finalized the manuscript. R.S completed the final editing of the
manuscript. All authors read the finalized manuscript.
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Cite this chapter as:
Fernando W.K.A.U.K., Samarakkody R.M., Halgamuge M.N. (2020) Smart Transportation Tracking Systems
Based on the Internet of Things Vision. In: Mahmood Z. (eds) Connected Vehicles in the Internet of Things.
Springer, Cham
First Online 14 January 2020
DOI https://doi.org/10.1007/978-3-030-36167-9_7
Publisher Name Springer, Cham
Print ISBN 978-3-030-36166-2
Online ISBN 978-3-030-36167-9
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