IoT-based traffic management tool with Hadoop-based management scheme for efficient traffic management
by Ankur Dumka
International Journal of Knowledge Engineering and Data Mining (IJKEDM), Vol. 5, No. 3, 2018

Abstract: The paper presents a traffic management tool based on the concepts of IoT, GPS and Hadoop which is used to predetermine the traffic prediction of the area and based on this suggests alternative routes for the upcoming vehicle at the junction of traffic congestion. The mapping of information from the congestion area to the main server is achieved using sensor-based technology, while the data is analysed using Hadoop technology and alternative route can be determined using GPS technology. Thus, using all these technology at once, we can prevent the traffic jams at the area and also predict the traffic structure of the area. Using GPS technology, we can also suggest alternative routes to the upcoming vehicle to that particular area.

Online publication date: Tue, 11-Sep-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge Engineering and Data Mining (IJKEDM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email