• Dr.S.Krishnaveni
• T.Anushiya

The uber cabs current system is manual and it's time consuming. It is also cost ineffective, and average return is low and declining. The different types of soft computing techniques of data analysis are introduced to extract valuable information from the data. The goal of this project is to increase rides by giving incentives for cab drivers. This business is booming and expected to grow shortly. Effective taxi dispatching will facilitate for each driver and passenger to reduce waiting time to seek out one another. The model employed to predict the demand on points of the city.

Providing incentives, Linear regression, Decision tree.

" INCREASE THE PREDICT SCOPE OF CAB RIDES BY PROVIDING INCENTIVES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 6, page no.344-349, June-2022, Available :http://www.jetir.org/papers/JETIRFN06057.pdf

" INCREASE THE PREDICT SCOPE OF CAB RIDES BY PROVIDING INCENTIVES", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 6, page no. pp344-349, June-2022, Available at : http://www.jetir.org/papers/JETIRFN06057.pdf