Abstract: A method for determining a mobility state of a mobile device is provided. A first estimated location of the mobile device is determined based on a first predictor set by generating a first location probability distribution associated with the first predictor set. A second estimated location of the mobile device is determined based on a second predictor set by generating a second location probability distribution associated with the second predictor set. A third estimated location of the mobile device is determined based on the first and second predictor sets and based on a combined first location probability distribution and second location probability distribution. A consistency analysis of the calculated first, second and third estimated locations is performed for the first and second predictor sets to determine the mobility state of the mobile device.

Abstract: A method for determining location history of a mobile device is provided. A plurality of states corresponding to a plurality of reachable road segments associated with a road network is determined based on one or more initial estimated locations of the mobile device. Mobility model defining transition probabilities between the determined plurality of states is generated. Time series network data associated with the mobile device is received from a network data source. The time series network data is associated with a given period of time. The time series network data is processed using the generated mobility model to estimate an actual route most likely travelled by the mobile device during the given time period.

Abstract: A method for determining location history of a mobile device is provided. A plurality of states corresponding to a plurality of reachable road segments associated with a road network is determined based on one or more initial estimated locations of the mobile device. Mobility model defining transition probabilities between the determined plurality of states is generated. Time series network data associated with the mobile device is received from a network data source. The time series network data is associated with a given period of time. The time series network data is processed using the generated mobility model to estimate an actual route most likely travelled by the mobile device during the given time period.