Analysis of effectiveness of smart city implementation in transportation sector in Oman

Abstract

Due to the observed growth in world population and high utilization of basic services, a prerequisite to transform cities into urban ones had emerged in last few years. Oman is now running urbanization process as its cities are improved day by day. With this framework, a vast amount of data is generated and it can be analysed in appropriate manner & utilized in order to make these cities smart and can adopt themselves. Here, the concept of Big Data was born to be the primary factor of rapid urbanization and towards smart city. Thus, this paper aims to study the smart city concept, analyse and provide a clear illustration of the effectiveness of smart city implementation in public transportation in Oman using Big Data and its applications. Data collected from five of the Mwasalat internal bus routes in Muscat are used to predict passengers travel pattern in these routes. The predictions are formed using different forecasting methods namely TBATS and ARIMA. These methods are applied to passengers' dataset and is found that TBATS method is perfectly fitted with the dataset.