This app presents a Diversified Path AI Model for User Equilibrium (UE), which suggests interest-based paths to reduce traffic congestion and promote discovery opportunities on the roads. üMoby includes Google Maps API as a component with the dual task of portraying Dijkstra's and A* Algorithm functions, and providing the microservices to power üMoby, with an additional TypeScript/Deno logic developed to incentivize drivers to change their path based on speed, food, cultural, safety, and sustainability interests. As well, üMoby uses the Gemini AI insight to identify promotions, offers, and events based on the path identified.
App URL
https://umoby.lovable.app
This app was designed to contrast the functionalities and features of Dijkstra's and A* algorithms, employed by Google Maps API and üMoby Diversified Path AI Model to reach the common purpose of User Equilibrium (UE). At the same time, works as the first stage for smart mobility or GIS projects that desire to influence user behavioral decisions through AI. Penn State University (PSU), CE 521 Transportation Network and System Analysis. Fall 2025.