• Sowkhya S Adiga
• Shreeprada Divakar Bhat
• Vatsala Jha
• Jayashree G

Nowadays most of the people use social media for exchanging opinions and thoughts.Hence most of the sites such as Twitter, Facebook, and Google+ have massive amount of data. In today's scenario predicting the traffic is very much required. Intelligent transportation System (ITS) is very much affected by the traffic conditions. Traffic flow, traffic lights and travel times can be controlled mostly by Traffic flow forecasting. To address this problem, our system aims to improve the road traffic speed prediction by adding several new type sensing data from cross domain sources like tweet sensors,trajectory sensors and social media to the traditional speed sensing data.So that it will improve the prediction of traffic speed and generate optimal solution for the path.

Tweet Sensors,Trajectory Sensor, ITS.

"Road Traffic Speed Prediction Using DataMining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.356-360, March-2019, Available :http://www.jetir.org/papers/JETIR1903950.pdf

"Road Traffic Speed Prediction Using DataMining", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp356-360, March-2019, Available at : http://www.jetir.org/papers/JETIR1903950.pdf