Metro Rail Navigation System (MRNS) using Machine Learning

Integrated Metro Rail Navigation System will be designed in a way to find Nearest Metro Station task for passengers from their location, while they also provide a facility of finding shortest route and fare calculator, and many other features. It also provides a facility to the Passengers for station alert. Most of the Applications available provide either static maps and routes along the fare calculator. Some third-party application provides a feature of Smart Card Recharge of Metro. This study defines an active Metro Navigation map by including added views for enabling the active traveller statistics unlike the levels of time-based hardness. Also, the existing applications support only one or two cities' metro maps. This study also integrates a new feature “E-tokenization”, which reduces ticket buying of people who stand in line for tickets. This study has also integrated a feature of public static navigation, which provides navigation insights for foreigners in the metro-based of cities. All this Information are included in provisional metro map to give insights for time facts and characteristic paths taken by the travellers.