On mobility profiling and cyber transportation systems

Summary form only given. In this talk, I'll present our results obtained from analyzing users' mobility trace data. Unlike earlier work, we profile the movement patterns of wireless users and predict their locations, and show that each user regularly visits a list of places called hubs (e.g., buildings) with some probability. We also show that over a period of time (e.g., a week), a user may repeatedly follow a mixture of mobility profiles with certain probabilities associated with each of the profiles. Our analysis of the mobility trace data not only validate the existence of the so-called sociological orbits in users' movement pattern, but also demonstrate the advantages of exploiting them in performing hub-level location predictions. As one of the potential applications of the mobility profiling, I will present a novel architecture that utilizes integrated cellular and ad hoc relaying (iCAR) to provide file downloading services to vehicles among other services in a Cyber Transportation System (ITS). I will also describe our recent effort on human-factors aware design of CTS applications, protocols and tools.