Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying a driver of a vehicle. Measurement values representing the movement of a vehicle are received from one or more sensors measuring features relating to the movement of the vehicle. Instantaneous dimensions for measuring driver identification are defined. For each dimension statistical features within a given time frame are calculated and a feature map is built, including the time frame and the statistical features. A set of driving features is extracted from the feature map. The set of extracted driving features is compared with previously extracted sets of driving features to create a set of similarity metrics between two drivers. A classification model is trained based on the similarity metrics and is used with the similarity metrics to determine whether data pertaining to a new trip segment should be associated with a known or unknown driver.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for identifying a driver of a vehicle. Measurement values representing the movement of a vehicle are received from one or more sensors measuring features relating to the movement of the vehicle. Instantaneous dimensions for measuring driver identification are defined. For each dimension statistical features within a given time frame are calculated and a feature map is built, including the time frame and the statistical features. A set of driving features is extracted from the feature map. The set of extracted driving features is compared with previously extracted sets of driving features to create a set of similarity metrics between two drivers. A classification model is trained based on the similarity metrics and is used with the similarity metrics to determine whether data pertaining to a new trip segment should be associated with a known or unknown driver.

Abstract: An embodiment of the invention provides a method that identifies GPS shifting fields for road segments, the GPS shifting fields including areas around the road segments that include false GPS readings of objects that traveled on the road segments. The GPS shifting fields can be revised with a road segment attribute and/or at a driver preference. The road map network can be partitioned into space units, where the road map network can include at least two GPS readings of the object. For each space unit that includes a road segment, a probability that the object was located on the road segment can be calculated for each road segment based on the GPS readings of the object and the GPS shifting fields. The trajectory of the object can be determined based on the computing of the probabilities.

Abstract: An embodiment of the invention provides a method that identifies GPS shifting fields for road segments, the GPS shifting fields including areas around the road segments that include false GPS readings of objects that traveled on the road segments. The GPS shifting fields can be revised with a road segment attribute and/or at a driver preference. The road map network can be partitioned into space units, where the road map network can include at least two GPS readings of the object. For each space unit that includes a road segment, a probability that the object was located on the road segment can be calculated for each road segment based on the GPS readings of the object and the GPS shifting fields. The trajectory of the object can be determined based on the computing of the probabilities.

Abstract: A method and an apparatus for generating data in a missing segment of a target time data sequence are disclosed. The method includes: determining whether there is a breakpoint in the missing segment; determining candidate values of the data in the missing segment; and generating values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment. With the method and the apparatus, the data in the missing segment of the target time data sequence can be generated more accurately.

Abstract: A method and an apparatus for generating data in a missing segment of a target time data sequence are disclosed. The method includes: determining whether there is a breakpoint in the missing segment; determining candidate values of the data in the missing segment; and generating values of the data in the missing segment by selectively using the candidate values of the data in the missing segment, according to whether there is the breakpoint in the missing segment. With the method and the apparatus, the data in the missing segment of the target time data sequence can be generated more accurately.