Big data analytics for smart transportation

Abstract

In today’s world, many people are heavily relying on public transport to get to their destination. However, these transports may be affected by unforeseen events which causes delay in the travel time for commuters. Through the use of smart card data, data analytics can be applied to this problem to optimize transport routes and frequencies for commuters. In this project, the main objective is to come up with a web-based visualization for users to visualize the routes of alternative buses that commuters can take during rail disruptions. In this report, it will elaborate on how this project is implemented using Python, Django Framework, MySQL database and MapBoxGL to achieve the main objective of this project.