Averaging Based Predictive Modelling for Traffic Congestion in IoT

Nandkumar Kulkarni, Dnyaneshwar Mantri, Pranav Pawar, Neeli Rashmi Prasad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

The Internet of things (IoT) is the system of physical devices, vehicles, and other items embedded with electronics, software, sensors, actuators, and connectivity which empower these objects to accumulate and interchange data. IoT allows objects to be recognized or controlled distantly without human involvement. This result in enhanced efficiency, precision and economic advantage. Traffic blocking is bursting as foremost challenge in every established as well as emerging countries and it needs immediate attention. The amalgamation of machine learning and IoT, Vehicular Adhoc Network (VANET) makes the traffic management more intelligent. Many researchers have proposed numerous answers for covering detecting, estimating and avoiding traffic congestion in a handful of established nations. These solutions are not suitable from Indian perspective because of mixed traffic conditions, population. This paper proposes a novel traffic congestion prediction technique based on averaging under heterogeneous conditions. The proposed system uses real time and historic traffic data for informing accurately on road congestion preceding the journey.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Global Conference on Wireless Computing and Networking, GCWCN 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages49-53
Number of pages5
ISBN (Electronic)9781538652015
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes
Event2nd IEEE Global Conference on Wireless Computing and Networking, GCWCN 2018 - Lonavala, India
Duration: 23 Nov 201824 Nov 2018

Publication series

NameProceedings - 2018 IEEE Global Conference on Wireless Computing and Networking, GCWCN 2018

Conference

Conference2nd IEEE Global Conference on Wireless Computing and Networking, GCWCN 2018
Country/TerritoryIndia
CityLonavala
Period23/11/1824/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Averaging
  • Congestion
  • IoT
  • Modeling
  • Predictive
  • Traffic

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