This research aims to acquire insight into the mobility needs and activity-travel patterns of the users in order to provide collaborative solutions offering the flexibility and comfort of privately owned cars. To do so, we focus on the development of travel behavior models able to quantify the impact of these services in the whole activity-travel chain. These models will facilitate the design and (long-term) assessment of different service layouts and policies, which aim at optimizing the use of collective transport modes. To support the travelers’ decision making process, we aim at developing new travel information supporting systems as social networks. These systems are developed and tested in two pilots around the campus of the University of Luxembourg.InCoMMune aims to bring together the advantages of travel sharing solutions, whose take up critically depends on how efficient these systems are in relation to the mobility needs of the travelers, and those offered by new information sharing technologies, which can facilitate the closing of the loop between flexible design and organization of sharing systems and the users’ activity-travel choices. In essence, by closing this loop, we here introduce the concept of collaborative mobility, where users and service providers continuously collaborate by sharing information on mobility needs and by constantly adapting the services to these needs. The focus will be on developing a new theory and models for designing and evaluating collective transport systems based on the analysis of different sharing solutions, and to connect these models to web-based and smartphone apps to offer the travelers effective sustainable alternatives to private cars.