• Amandeep kour
• Deepak Kumar

In the modern era, the road infrastructure failed to cope up with the exponential increase of road traffic. There is a thrust to find a smarter ways to deal with such transportation system. Intelligent Transport System is at the forefront edge of this, one of the points is exact and hassle free forecasts that guarantee smooth and bother free driving and authoritative experience. In such manner, ITS being looked into for quite a few years and furthermore a field of consistent growth of works and advancement after some time, there is a wealth of writing on data stream expectation. Data stream datasets generated through the application of IoT are operated upon by the existing techniques. Data stream flow analysis is conducted to tackle the issues of data stream forecasting. This paper presents a systematic analysis of previous aggregate work on data stream prediction, highlight the marked changes and presents future directions for research work.

Data stream prediction, Data stream Dataset, IoT, Data stream flow, data stream forecasting

"Techniques for analysing Heavy Data stream using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.692-701, June 2019, Available :http://www.jetir.org/papers/JETIR1907403.pdf

"Techniques for analysing Heavy Data stream using IOT", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp692-701, June 2019, Available at : http://www.jetir.org/papers/JETIR1907403.pdf