• Marepalli Thanmayee
• Vasavi Sravanthi Balusa

Today we are living in an information driven world. Improvements in information age, assembling and putting away innovation have engaged associations to accumulate informational collections of gigantic size. Information mining is a term that mixes customary information examination techniques with refined calculations to deal with the assignments remained by these new types of informational collections. This paper is a relative examination of different Data Mining of traffic information utilizing huge information, perception and information mining systems to anticipate and dissect traffic. Remote sensor systems are an innovation which has assumed a huge job empowering a Smarter City urban areas is utilizing this innovation to accumulate information identified with traffic. The goal is to have a total foundation that empower the observing of traffic practices so choices on city advancement can be made smarterly. The work investigating the utilization of information mining devices to help in the advancement of traffic flag judgment gadgets. The bunch examination approach can apply a high-goals framework state depiction that exploits the wide-going arrangement of sensors orchestrated in a rush hour gridlock flag framework.

Data Mining, Time of Day (TOD), Hierarchical Clustering.

"Traffic Prediction and Analysis By Data Mining using Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.146-149, April-2019, Available :http://www.jetir.org/papers/JETIRAZ06029.pdf

"Traffic Prediction and Analysis By Data Mining using Big Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp146-149, April-2019, Available at : http://www.jetir.org/papers/JETIRAZ06029.pdf