Big Data and IoT in Smart Transportation System
Florence S1, Shyamala Kumari C2
1Florence S, Cse, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
2Shyamala Kumari C, Cse, VelTech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India
Manuscript received on 28 June 2019 | Revised Manuscript received on 04 July 2019 | Manuscript published on 30 July 2019 | PP: 1230-1232| Volume-8 Issue-9, July 2019 | Retrieval Number: I7597078919/19©BEIESP | DOI: 10.35940/ijitee.I7597.078919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Every day, humans are innovating numerous technologies that may facilitate contour efforts towards various operations with ease. One such technology is the internet of Things (IoT) and another one is big data. internet of Things (IoT); the new technology which interconnect physical devices by communicating each other. The IoT and big data technology applied in production, farming, banking operations, healthcare and food services etc., Also it is going to be the main technology for implementation of smart cities. IoT has the variety of data which is collected by devices and is processed quickly for quicker decision-making that minimizes the time taken to finish a particular process. Here, we are going to discuss IoT and big data in transportation. IoT and big data will be applied in numerous applications of transportations like self driving cars, logistics, traffic prediction, maintaining vehicle performance, freight transportation, Accident management etc., big data and IoT makes the many impacts on the above to boost. the objective of this can be to move the items from one place to another without any congestion and avoiding accidents. This paper gives the survey of smart transportation system in several applications.
Keywords: Smart Transportation System, Internet of
Things, Big data, traffic prediction, Accident management.
Scope of the Article: Transportation Engineering