Smart Aviation with Customized Route Discovery Using Urban Transportation Analytics

Adapting to the growing aviation traffic has become an immense challenge on a global scale. The aviation industry has become a crucial component of our society and is a major force behind global economic, social, and cultural advancement. Our research examines aviation connectivity using network centrality based on topological characteristics. The goal is to achieve urban sustainability by analyzing the airways transportation system, especially when some airports are not functioning due to epidemics or chaotic outbursts. For this purpose, this research has proposed an efficient model for recommending a set of convenient alternative routes between airports based on a number of connecting flights and customizing the route discovery. We have performed urban transportation analytics for India and generalized the approach for worldwide air routes. Our work will assist the passengers in selecting the best routes based on their preferences of cost, distance, and places to visit during the journey. Our country-specific as well as worldwide case studies are performed with geo-visualizations, along with the network centrality and optimal route statistics.