DATA COLLECTION AND PROCESSING FRAMEWORK FOR SMART TRANSPORTATION BASED ON LOT

Abstract

The efficiency of any ITS depends upon two crucial aspects- To gather the information from multiple-hop- event-driven nodes and to store it in a way that the database extracts relevant information in a time bounded manner. In my research work, I was able to find out the various connectivity glitches that led to ITS not performing relevant actions as and when required. I broke down my work into three modules viz-a-viz data collection, data processing and data storage. By doing this I was able to focus on the different levels of working of a smart transportation and find out the glitches. In my work, the functions follow as follows; first the data is gathered from the sensors using a dedicated server-client connection, then the data is processed in a way that the system doesn't stop working even if data is not available for a while due to loss in connectivity and then stored in a way that it can be accessed using keywords. This will lead to less dependence on technically skilled workforce and help the unskilled workers to secure jobs.