Study on Forecasting Public Revenue for Andhra Pradesh State Road Transport Using Regression Techniques

  • Authors

    • Reshma Gummadi Research Scholar,Acharya Nagarjuna University
    • Sreenivas Reddy Edara Professor,Acharya Nagarjuna University
    2019-03-28
    https://doi.org/10.14419/ijet.v7i3.18.14099
  • Public Revenue, Linear Regression, Gradient Boosting.

  • Abstract

    Forecasting public revenue of transport system indirectly shows the development of system with the growth of economy. Andhra Pradesh state road transport corporation (APSRTC) develops rapidly by this process .Therefore there is a need for developing model to forecast public revenue and identifying the relationship between transportation and economy of the system. The passenger traffic volume collected from the APSRTC for calculating public Revenue is based on the data from 2016 to 2017.Then different regression models are applied on the collected data for analysis purpose. The linear regression outperforms gradient boosting, decision trees and neural networks with a relative error less than 5% for predicting public revenue. The accuracy of models on revenue has been improved which helps for the development of transportation system.

     

  • References

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  • How to Cite

    Gummadi, R., & Reddy Edara, S. (2019). Study on Forecasting Public Revenue for Andhra Pradesh State Road Transport Using Regression Techniques. International Journal of Engineering & Technology, 7(4), 5318-5321. https://doi.org/10.14419/ijet.v7i3.18.14099

    Received date: 2018-06-14

    Accepted date: 2018-07-18

    Published date: 2019-03-28