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In transport modeling and prediction, trip purposes play an important role. The most particular case is activity-based modeling, whereby mobility choices (e.g. mode, path, and departure time) are made in order to carry out specific activities. A current challenge, however, lies on getting appropriate data that relates observed trips with their purpose. Recently, a Smartphone-based travel survey (the...
In this paper, we propose a positioning system using super-resolution time of arrival (TOA) in IEEE 802.11a/g networks. The performance of the super-resolution TOA estimation methods with the Multiple Signal Classification (MUSIC)/noise eigenvalues (EV) and traditional cross-correlation algorithm are compared in a simulated indoor multipath environment. Simulation results indicate that more accurate...
In this paper, we compare the second and fourth order super-resolution time-of-arrival (TOA) estimation of frequency domain in an IEEE 802.11b network for location positioning. The performance of the super-resolution TOA estimation methods are valued by two parameters: mean distance error and standard deviation of the distance estimation error. Five hundred timed Monte Carlo simulations have been...
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