Gis based predictive analytics for effective governance of road accidents

Abstract

In the recent years, information retrieval for providing location based medical services has become an important task and challenging in e-Governance environments. For this purpose, many techniques were proposed by many researchers which focused on spatial query processing algorithms. However, most of the existing techniques could not provide the expected accuracy due to the use of only geographical information. Moreover, the data stored in the relational databases are not able to handle the storage and retrieval tasks efficiently since the data used in geographical information systems are growing at a faster rate in the area of spatial oriented medical informatics. Therefore, it is necessary to develop more efficient techniques using computational intelligence in order to enhance the performance of newlinelocation based service providing systems. This work proposes an intelligent location based service model by providing new techniques for effective storage and retrieval of medical data in cloud databases. Moreover, the proposed model uses rules to make decisions on selecting a suitable hospital in the location of the patient, recommendation of medical experts to be consulted and suggestion of alternative treatment plans. In this work, new techniques have been proposed for the secured storage of transport data consisting of vehicles, registrations and payments in the e-Services Web Portal of Transport Department. newline newline newline