Abstract

The paper mainly focuses onsmart cities where travellers travel in train using smart cards which contain user data. These cards produce enormous measure of information which can be utilized for examination and expectation. Foreseeing the consumers count and behavior who utilizes the railroad administrations are explained through the utilization of big data strategy. From the smart card, traveller name, age, time, source and destination stations are been analyzed to improve railway infrastructure. The data are gathered and stored using public cloud storage. Additionally, for information investigation, we use grouping and classification. This encourages the railway department to improve their currentframework and can facilitate customized services for travellers.