A framework for smart transportation using Big Data

Title

A framework for smart transportation using Big Data

Creator

Shukla S.; Balachandran K.; Sumitha V.S.

Description

In the current era of information technology, data driven decision is widely recognized. It leads to involvement of the term 'Big Data'. The use of IOT and ICT deployment is a key player of the smart city project in India. It leads to smart transportation systems with huge amounts of real time data that needs to be communicated, aggregated, interpreted, analyzed and maintained. These technologies enhance the effective usage of smart transportation systems, which is economical and has a high social impact. Social applications like transportation can be benefited by using IOT, ICT and big data analytics to give better prediction. In this paper, we present how big data analytics can be used to build a smart transportation system. Increasing traffic and frequent jams in today's scenario are becoming a routine, citizens are facing various health issues due to the bad transportation systems such as high blood pressure, stress, asthma due to air and noise pollution. In smart transportation mobility can be easily implemented as most of the citizens use smartphones. It can be easily linked to smart traffic signals to achieve the objective of smart transportation. Smart transportation is a key component to attract companies as it leads to better services, business planning, support beneficial environment and social behavior. 2016 IEEE.

Source

Proceedings of 2016 International Conference on ICT in Business, Industry, and Government, ICTBIG 2016

Date

2017-01-01

Publisher

Institute of Electrical and Electronics Engineers Inc.

Subject

Big Data; Information and Communication Technology (ICT); Internet of Things (IoT); Smart City; Smart Transportation

Coverage

Shukla S., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Bengaluru, India; Balachandran K., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Bengaluru, India; Sumitha V.S., Department of Computer Science and Engineering, Faculty of Engineering, Christ University, Bengaluru, India

Rights

Restricted Access

Relation

ISBN: 978-150905515-9

Format

Online

Language

English

Type

Conference paper

Identifier

https://doi.org/10.1109/ICTBIG.2016.7892720

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