Abstract: To push forward the development of smart urban rail transit, the on-board PIS is required to offer more suitable information services to meet passengers's ride demand in a way adaptive to the operating status of the urban rail transit. Through analyzing the development tendency of on-board PIS as well as context aware data sources for passenger information services, a technical solution to context aware services of on-board PIS is proposed, in which a open cloud edge fusion architecture is adopted to make use of the processing capability of the edge-side equipment in data collection and analysis as well as scheluding of passenger information services, thus forming a more scalable and flexible cloud with improved performance. This solution can help enhence the adapability of on-board PIS and improve passenger-oriented formation services.