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In this work, we present three classes of methods to extract information from triangulated mobile phone signals, and describe applications with different goals in spatiotemporal analysis and urban modeling. Our first challenge is to relate extracted information from phone records (i.e., a set of time-stamped coordinates estimated from signal strengths) with(More)
The estimation of commuting flows at different spatial scales is a fundamental problem for different areas of study. Many current methods rely on parameters requiring calibration from empirical trip volumes. Their values are often not generalizable to cases without calibration data. To solve this problem we develop a statistical expression to calculate(More)
The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. We propose a multiagent-based reinforcement learning algorithm, in which the interactions between travelers and the environment are considered to simulate temporal-spatial characteristics of activity-travel patterns in a city. Road(More)
1 In this paper we investigate the potential of "low-frequency" bus localization data for the mon-2 itoring and control of bus system performance. We show that data with a sampling rate as low 3 as one minute, when processed appropriately, can provide ample information. In particular, we 4 obtain accurate estimates of stop arrival and departure times which(More)
Advances in cognitive radio networks have primarily focused on the design of spectrally agile radios and novel spectrum sharing techniques that are founded on expected utility theory (EUT). In this paper, we consider the development of novel spectrum sharing algorithms in such networks taking into account human psychological behavior of the end-users, which(More)
Our current digital age is characterized by the shift from traditional industry to an economy based on the information computerization. The sweeping changes brought about by digital computing have provided new data sources for transportation model-ing. In this thesis, two mainstream trends in utilizing digital traces in transportation modeling are explored.(More)
We consider the impact of end-user decision-making on pricing of wireless resources when there is uncertainty in the Quality of Service (QoS) guarantees offered by the Service Provider (SP). Specifically, we consider a scenario where an SP tries to sell wireless broadband services to a potential customer when the advertised transmission rate cannot be fully(More)
—Coordinated scheduling/beamforming (CS/CB) substantially mitigates the intercell interference (ICI), hence increasing the cell-edge throughput on the downlink (DL) of coordinated multipoint (CoMP) systems. To maximize the DL throughput, the cooperating base stations (BSs) jointly select the best set of users for DL scheduling and then jointly design a set(More)
Well-established fine-scale urban mobility models today depend on detailed but cumbersome and expensive travel surveys for their calibration. Not much is known, however, about the set of mechanisms needed to generate complete mobility profiles if only using passive datasets with mostly sparse traces of individuals. In this study, we present a mechanistic(More)