Metropia’s Employer Commute Suite offers a system that can report your organization’s progress in meeting commute-related decarbonization...

Metropia designed the social carpooling mechanism to overcome the barrier that hinders people from joining a conventional carpooling program

Metropia’s User Informatics provides transit users with personalized and timely notifications about planned and unplanned events that may impact their upcoming transit trip. Overview Metropia’s User Informatics platform leverages relevant data and individual user preferences to provide transit users with personalized, timely, and contextually relevant notifications, allowing them to make more informed decisions and plan their trips more effectively. This entails mapping both

Assisting MaaS platform users to conveniently access availability, pricing, and location of parking spaces during their trip planning. All in real time. Integration of parking, both lots and curbside, is crucial for a Mobility as a Service (MaaS) platform to provide a comprehensive transportation solution. Our MaaS solution’s parking integration spans the following key functionalities: parking lots and garages, curbside parking, and in-navigation near destinations. MaaS platf

Personalized real-time alerts about incidents, work zones, and flooding improve trip planning and enhance safety for users. Overview Metropia’s MaaS platform integrates real-time incident, work zone, and flooding data from multiple sources to provide users with timely notifications only when their intended travel is expected to be disrupted. The capability provided by Metropia covers three distinct types of events, as outlined in the table below. These alerts are specifically

At the core of Metropia's user informatics system lies a robust decision support capability that ensures personalized and relevant information is disseminated to users based on the who, when, and how aspects of communication. To determine the "who," the decision support system leverages a comprehensive analysis of both present and historical activity data. By examining user profiles, travel patterns, and preferences, the system identifies the users who are most relevant and l