Data Management for Nudged Green Transportation

Abstract

Climate change is one of the most talked about topics in the world at the moment. In the context of man induced Global Warming, there are many proposed ideas on how to combat its effects and many more are still needed. We propose employing nudge theory to persuade people into using environmentally friendly modes of transport through a software application. This thesis focuses on the data management part of such an application, mainly on storing and providing data from persistent storage or other sources. My approach involves using approximate query processing and a key-value in-memory data store to optimise data access.