Crowd-sourced Approach to Generate Real-time Passenger Train Time Table

Availability of real-time public train transportation information can help to improve the commuters' transportation needs. Most of the time the guaranteed information is only supported in a closed system. Due to the administrative issue, there is no infrastructure to provide real-time data to any interested party. This paper proposed a framework that aims to provide a multiple-sourced crowdsourcing approach to generate Real-time Public Train information. The proposed system will enhance the accuracy as well as efficiency of the current system to provide accurate real-time train Status by crowdsourcing train location GPS (Global Positioning System) data from the passenger's smartphones. The tracing data are used to update the arrival/departure time using a predictive data source. The basic information is collected and distributed of each train route, stops and schedules. The `User Report Information' includes information related to trains and can be shared among the other interested parties through our System.