Smart transportation tracking systems based on the internet of things vision

W. K.A.Upeksha K. Fernando, Ruwani M. Samarakkody, Malka N. Halgamuge

Research output: Book chapter/Published conference paperChapter in textbook/reference book

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.
Original languageEnglish
Title of host publicationConnected vehicles in the Internet of Things
Subtitle of host publicationConcepts, technologies and frameworks for the IoV
PublisherSpringer International Publishing AG
Pages143-166
Number of pages24
ISBN (Electronic)9783030361679
ISBN (Print)9783030361662
DOIs
Publication statusPublished - 13 Jan 2020

Fingerprint Dive into the research topics of 'Smart transportation tracking systems based on the internet of things vision'. Together they form a unique fingerprint.

  • Cite this

    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 Connected vehicles in the Internet of Things: Concepts, technologies and frameworks for the IoV (pp. 143-166). Springer International Publishing AG. https://doi.org/10.1007/978-3-030-36167-9_7