Enhancing transit service by intelligent trip inference and recommendation system

交通应用是北美领先的交通地图和旅行计划应用。本研究旨在为公交App开发一套智能出行推荐系统，以提升用户的出行体验。开发的算法将应用于交通应用程序，当用户打开应用程序时，它会提示下一次出行最可能的目的地和交通服务(例如，公交车/地铁的路线和方向，出行方式)，从而简化用户的导航过程。这项研究可以大大提高公共交通服务的便利性和吸引力。

Transit App is a leading transit mapping and trip planning app in North America. This research aims to develop an intelligent trip recommendation system for Transit App to improve users' travel experience. The developed algorithms will be applied to Transit App to prompt the most likely destinations and transit services (e.g., the line and direction of the bus/metro, the mode of travel) for the next trip when the user opens the app, simplifying the navigation process for the user. This research can greatly enhance the convenience and attractiveness of public transit services.