Abstract: A method, computer system, and a computer program product for supplementing learning data to determine a Most Probable Path (MPP) for a user driver is provided. The present invention may include determining a change associated with a set of map data. The present invention may then include extracting a set of trajectory data in response to the determined change associated with the set of map data. The present invention may also include performing a rerouting calculation for the extracted set of trajectory data, wherein the performed rerouting calculation generates a rerouting result, wherein the generated rerouting result is added to a set of learning data in a learning data database. The present invention may further include adding one or more trajectory patterns to the learning data based on an increase frequency after the determined change associated with the set of map data.

Abstract: Generating routes based on aggregated path data includes accumulating trajectory data from a plurality of users, wherein data entries in the trajectory data each include an origin and a destination. When a request for a route from a designated location to a particular destination is received from a particular user, one or more of the data entries are identified as relevant to the request for the route when the origin of a particular data entry is similar to the designated location and the destination of the particular data entry is similar to the particular destination. Route recommendations are generated for the particular user based on one or more data entries identified as relevant.

Abstract: Methods and apparatus, including computer program products, implementing and using techniques for detecting anomalous vehicle behavior. It is determined whether a plurality of received car probes include one or more indicators of unusual behavior. An object agent corresponding to a vehicle having a car probe that includes an indicator of unusual behavior is selected. A search is performed to select one or more vehicles surrounding the vehicle having a car probe that includes an indicator of unusual behavior. An information entropy is determined from received car probes, for the vehicle having a car probe that includes an indicator of unusual behavior and for each of the selected surrounding vehicles. An anomalous point value is calculated for each vehicle, based on the determined information entropies. In response to determining that the anomalous point value for a car exceeds a pre-determined threshold, the vehicle is flagged as a vehicle exhibiting anomalous behavior.

Abstract: Position data may gradually pseudonymized by a method, comprising: generating a sequence of relative positions from a sequence of absolute positions of a moving object; randomizing the sequence of relative positions using at least a sequence of random numbers generated from at least one seed; in response to receiving an analytical job comprising the at least one seed, restoring the sequence of relative positions from the randomized sequence of relative positions; and in response to receiving an analytical job comprising both the at least one seed and at least one absolute position derived from the sequence of absolute positions, restoring the sequence of absolute positions from the randomized sequence of relative positions.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may receive an event detected in a geographic space by a mobile object of a plurality of mobile objects. The embodiment may determine a reliability of the event based on a reliability associated with the mobile object. The embodiment may store the event in a mobile object database based on the reliability of the even being above a reference reliability.

Abstract: The present invention may be a method, a computer system, and a computer program product for grouping a plurality moving objects capable of communicating with a server computer. The server computer performs the method comprising: predicting travel routes of the plurality of moving objects, using current traveling data and travel history data; grouping the plurality of moving objects into at least one group, using the predicted travel routes; determining a representative moving object in each group; and communicating with the representative moving object.

Abstract: A method of calculating a most probable path (MPP) comprising: with a classification module, classifying each of a plurality of origin and destination (O/D) trajectories into one of a plurality of periods of time, the classification comprising: changing a data sampling time period of any of the plurality of trajectories within the determined classification periods; with the classification module, detecting any O/D data descriptive of an aperiodic O/D trajectory using context data descriptive of the aperiodic O/D trajectory; and with the classification module, calculating a route trajectory serving as a candidate of the MPP to determine a priority O/D trajectory that matches the context data.

Abstract: The method, computer program product and computer system may include computing device which may determine a destination route. The computing device may receive current travel data associated with a primary user on the destination route and determine past travel data associated with a primary user on the destination route. The computing device may calculate, in response to determining that past travel data associated with a primary user on the destination route exists, a reliability degree of the current travel data associated with a primary user on the destination route based on the past travel data associated with a primary user on the destination route. The computing device may transmit a signal to a user device, the signal providing an instruction to display features according to an abstraction level of points of interest on the destination route based on the reliability degree.

Abstract: A method, system, and computer program product are provided. At least some received event candidate information concerning a possible event is stored as an event candidate in a database. A dialogue is generated with an occupant of a vehicle located in a vicinity of the possible event to obtain and store information to resolve any insufficiency or ambiguity regarding the event candidate in the database. When the information stored in the database regarding the event candidate is determined to be sufficient and unambiguous the event candidate is made into an event in the database. The event is reported to at least one vehicle approaching a location corresponding to the event.

Abstract: A method, system and computer program of managing an access right to at least one asset associated with at least one digital work order, or to at least one element associated with the asset, and provides a system and a computer program for the same. The method includes the steps of: loading a security policy associated with the work order, the asset, or the element; starting to monitor location information of the asset or the element and a moving object, or a elapsed time of the moving object at the location; and issuing an event for managing the asset, the element or the moving object in response to the start of the work order or in response to the fact that the loaded security policy is violated by any of the locations, a change in the location, or the elapsed time at the location obtained by the monitoring.

Abstract: A method, system and computer program of managing an access right to at least one asset associated with at least one digital work order, or to at least one element associated with the asset, and provides a system and a computer program for the same. The method includes the steps of: loading a security policy associated with the work order, the asset, or the element; starting to monitor location information of the asset or the element and a moving object, or a elapsed time of the moving object at the location; and issuing an event for managing the asset, the element or the moving object in response to the start of the work order or in response to the fact that the loaded security policy is violated by any of the locations, a change in the location, or the elapsed time at the location obtained by the monitoring.

Abstract: The present invention may be a method, a computer system, and a computer program product for grouping a plurality moving objects capable of communicating with a server computer. The server computer performs the method comprising: predicting travel routes of the plurality of moving objects, using current traveling data and travel history data; grouping the plurality of moving objects into at least one group, using the predicted travel routes; determining a representative moving object in each group; and communicating with the representative moving object.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may receive an event detected in a geographic space by a mobile object of a plurality of mobile objects. The embodiment may determine a reliability of the event based on a reliability associated with the mobile object. The embodiment may store the event in a mobile object database based on the reliability of the even being above a reference reliability.

Abstract: Embodiments generally relate to locating a moving vehicle. In some embodiments, a method includes determining driving information associated with a vehicle that is moving, where the driving information includes pattern information associated with past movement of the vehicle. The method further includes periodically receiving reported vehicle probe information from the vehicle, where the reported vehicle probe information includes a current location of the vehicle. The method further includes acquiring context information on surroundings of the vehicle if no reported vehicle probe information is received from the vehicle for a predetermined amount of time. The method further includes generating estimation vehicle probe information associated with the vehicle based on the context information, where the estimation vehicle probe information includes one or more candidate locations of the vehicle.

Abstract: An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may determine, by a mobile object server, a position of a mobile object in a geographic space managed by the mobile object server. The embodiment may determine a plurality of routes based on the position of the mobile object in the geographic space. The embodiment may calculate, by the mobile object server, a plurality of route parameters for the plurality of routes, wherein the plurality of route parameters includes a passage possibility of the mobile object over each route. The embodiment may calculate a plurality of edge parameters for a plurality of edges, wherein each edge is a segment of a route, and wherein the edge parameter includes the passage possibility of the mobile object over each edge.

Abstract: Position data may gradually pseudonymized by a method, comprising: generating a sequence of relative positions from a sequence of absolute positions of a moving object; randomizing the sequence of relative positions using at least a sequence of random numbers generated from at least one seed; in response to receiving an analytical job comprising the at least one seed, restoring the sequence of relative positions from the randomized sequence of relative positions; and in response to receiving an analytical job comprising both the at least one seed and at least one absolute position derived from the sequence of absolute positions, restoring the sequence of absolute positions from the randomized sequence of relative positions.

Abstract: Position data may gradually pseudonymized by a method, comprising: generating a sequence of relative positions from a sequence of absolute positions of a moving object; randomizing the sequence of relative positions using at least a sequence of random numbers generated from at least one seed; in response to receiving an analytical job comprising the at least one seed, restoring the sequence of relative positions from the randomized sequence of relative positions; and in response to receiving an analytical job comprising both the at least one seed and at least one absolute position derived from the sequence of absolute positions, restoring the sequence of absolute positions from the randomized sequence of relative positions.

Abstract: The present invention may be a method, a computer system, and a computer program product for grouping a plurality moving objects capable of communicating with a server computer. The server computer performs the method comprising: predicting travel routes of the plurality of moving objects, using current traveling data and travel history data; grouping the plurality of moving objects into at least one group, using the predicted travel routes; determining a representative moving object in each group; and communicating with the representative moving object.

Abstract: A method for searching for a ride offer that includes receiving a plurality of ride offers that specify a route that a vehicle passes along. The method further receives location information of an origin and a destination for a passenger, and a preference of the passenger for at least one of a get-on point and a get-off point. The method further determines an origin candidate point that satisfies the preference for the get-on point, and determines an origin route being one of the routes specified in the plurality of ride offers and passes through the origin candidate point. The method further determines a destination candidate point that satisfies the preference for the get-off point, determines a destination route that passes through the destination candidate point, and determines an optimum route to suggest to the passenger, wherein the optimum route includes both the origin route and the destination route in common.

Abstract: Disclosed embodiments provide techniques for generation of vehicle travel data. Past-travel data including previously taken trips, along with metadata including, but not limited to, vehicle type, vehicle model, navigation device model, are obtained and classified. A travel route for simulation data is selected. Data from various previous trips are combined to create a simulation data set for the travel route. This data is based on actual vehicle data. This can enable a new level of accuracy for data analysis and simulations based on this data as compared with purely simulated data. Actual vehicle data accounts for driver behavior, road obstacles, signage, vegetation, vehicle characteristics, and other factors that may not be able to be captured with purely simulated traffic data. Using the data generated by disclosed embodiments enables these factors to be considered in traffic analysis.