TRDISF_Q A Seasonal Prediction Model Integrated In RDBMS Platform For BRIHAN MUMBAI ELECTRIC SUPPLY AND TRANSPORT UNDERTKG (BEST) Mumbai

• Author(s): K P Deepdarshan ; Kushnappa K ; Arpitha H K
• Paper ID: 1702144
• Page: 44-51
• Published Date: 06-04-2020
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 3 Issue 10 April-2020

Abstract

The urbanization in India causes rapid rise in urban population in cities gives rise of increasing in vehicle and vehicle users. In spite of the increase in the number of travellers, the urban bus transport organizations still operate under heavy losses. This is mainly due to non-availability of right information at the right moment on various aspects of operation and functioning of public transport systems. The present work deals with the development of a seasonal prediction module for BEST public transportation. In this the specific databases for bus transport management is first designed, then developing a module for data retrieval and displaying by seasonal variation. This seasonal prediction model integrated in RDBMS platform for BRIHAN MUMBAI ELECTRIC SUPPLY AND TRANSPORT UNDERTKG(BEST) Mumbai is effectively used by transportation engineers to take right decision at right time to manage the public transportation in high profit.

Keywords

BEST, DSS, Entity relationship,TRDISF_Q, Regression analysis, SPSS

Citations

IRE Journals:
K P Deepdarshan , Kushnappa K , Arpitha H K "TRDISF_Q A Seasonal Prediction Model Integrated In RDBMS Platform For BRIHAN MUMBAI ELECTRIC SUPPLY AND TRANSPORT UNDERTKG (BEST) Mumbai" Iconic Research And Engineering Journals Volume 3 Issue 10 2020 Page 44-51

IEEE:
K P Deepdarshan , Kushnappa K , Arpitha H K "TRDISF_Q A Seasonal Prediction Model Integrated In RDBMS Platform For BRIHAN MUMBAI ELECTRIC SUPPLY AND TRANSPORT UNDERTKG (BEST) Mumbai" Iconic Research And Engineering Journals, 3(10)