Abstract: Aspects concern a method for generating map data, the method including: generating of a plurality of cells of a real space area, each cell representing a two-dimensional sub-space of the real space area, wherein each of the cells comprise at least one global positioning system (GPS) point, and wherein the real space area comprises a road network; determining a number of GPS points for each cell of the plurality of cells; determining a road network based on the numbers of GPS points using a Smoothed Particle Hydrodynamics (SPH) analysis, wherein the cells of the plurality of cells are particles of the SPH analysis and the number of GPS points per cell of the plurality of cells are a scalar of each cell of the plurality of cells in the SPH analysis; and comparing the road network determined using the SPH analysis with the road network of the real space area.

Abstract: A processor device has a CPU cooperating with an input device and an output device, under control of stored instructions, and is arranged to receive service requests at the input device, assign service requests received in successive time periods to respective batches of requests; access stored service provider data to identify available service providers from among a pool of service providers; after completing the assignment of service requests to a batch, perform a matching process to endeavour to match each service request of the batch of requests to a service provider; and for each service provider to whom a match is made, output a notification of the respective potential match from the output device.

Abstract: A communications server apparatus (100) is configured to receive (202) text data comprising at least one text data element associated with an abbreviated text unit. The text data element is compared (204) with a plurality of candidate text data elements from a representation of a given text database, each candidate text data element associated with a respective candidate text unit in the database. Values for a similarity measure between the at least one text data element and the candidate text data elements are determined (206), and candidate text data elements are processed (208) to select candidate text data elements with associated candidate text units having an ordered relationship with the abbreviated text unit. The similarity measure values and the candidate text data element selections are used (210) to nominate an associated candidate text unit as a disabbreviated text unit for the abbreviated text unit.

Abstract: A processing apparatus for generating route navigation data is provided, to, generate training data based on road network data corresponding to a network of roads in a defined geographical area, and journey data sets, each journey data set comprising data indicative of a journey by a road user through the network of roads and being derived using geolocation transmissions from a communications device of the road user, train a classifier model based on the training data, apply the trained classifier model on road data corresponding to a road in the defined geographical area, for the trained classifier model to predict a direction of traffic flow on the road, and generate the route navigation data indicative of the predicted direction of the traffic flow on the road. A method for generating route navigation data is also provided.

Abstract: A method, a computer-readable medium, and an apparatus for transport service are provided. The apparatus may receive a plurality of transport service transactions associated with a point of interest entity. For each transport service transaction, the apparatus may determine a transport service location at which the transport service transaction is executed. The apparatus may cluster the transport service locations determined for the plurality of transport service transactions. The apparatus may determine one or more candidate transport service locations for the point of interest entity based on the clustering. The apparatus may provide the one or more candidate transport service locations to a client or a service provider associated with a transport service transaction that is to be executed at the point of interest entity.

Abstract: A method of predicting one or more road segment attributes corresponding to a road segment in a geographical area, the method including: providing trajectory data and satellite image of the geographical area; calculating one or more image channels based on the trajectory data; and using at least one processor, classifying the road segment based on the one or more image channels and the satellite image using a trained classifier into prediction probabilities of the road attributes A data processing system including one or more processors configured to carry out a the method of predicting road attributes. A computer executable code including instructions for predicting one or more road segment attributes according to the method.

Abstract: A method of detecting overspeeding for a vehicle, including obtaining historical trajectory data of a fleet, of geographical areas from an electronic database; determining, by a microprocessor of a server, a distribution of speed of the historical trajectory data; calculating, on an electronic device associated with the vehicle, a determined probability of future overspeeding; wherein obtaining includes communicating, by the server an electronic request to the electronic database for the historical trajectory data, and the historical trajectory data from the electronic database to the server. An electronic device including a trajectory data acquisition circuit; a communication circuit to receive pre-trained weights for a trained classifier from a server; a processor to use a classifier configured with the pre-trained weights to calculate, based on trajectory data, a probability of future overspeeding being higher than a pre-determined threshold.

Abstract: A processing apparatus is provided, to, for each candidate point-of-interest of at least one candidate point-of-interest identified for association with a road in a network of roads for determining a name for the road, generate first data indicative of a relationship relating to a distance between the candidate point-of-interest and a road segment of the road, generate second data indicative of a relationship between the road segment and a projection of the candidate point-of-interest in a direction of the road segment, and, if the first and second relationships satisfy a first and second conditions for association respectively, generate data indicative of the candidate point-of-interest being an associated point-of-interest, process data corresponding to the associated point-of-interest to extract name data indicative of a road name associated with the associated point-of-interest, and generate, based on the name data, data indicative of the name for the road.

Abstract: Disclosed are systems and methods for predicting the destination location of a vehicle by processing a local preference graph of a user of the vehicle having nodes corresponding to locations visited by the user. In some embodiments, information about locations which have been visited one after another by users and the time between visits of the locations are also used in the prediction.

Abstract: Aspects concern a method for correcting errors in map data comprising obtaining map data specifying travel possibilities between locations, generating a routing graph from the map data by assigning a vertex to each location and an edge from one vertex to another vertex if the map data specifies that it is possible to travel from the location to which the first vertex is assigned to the location to which the second vertex is assigned, identifying the largest strongly connected component of the routing graph, identifying one or more further strongly connected components of the routing graph, detecting errors in the map data by identifying travel possibilities that are not in the map data which lead to missing connections between the one or more further strongly connected components of the routing graph and the largest strongly connected component of the routing graph and amending the map data by the identified travel possibilities.

Abstract: Aspects concern a method for correcting position estimates of a movable object. According to various embodiments, the method comprises establishing (1001) a hidden Markov model, HMM, instance for a movable object and, for positioning times of a sequence of positioning times, receiving (1002) a position estimate from a positioning device of the movable object for a respective positioning time, determining (1003) a set of candidate path segments for the positioning time, determining (1004) likelihoods for the candidate path segments to correspond to the position estimate by application of the Viterbi algorithm to the HMM instance, expanding (1005) the HMM instance by the determined likelihoods for the candidate path segments for the positioning time and determining (1006) a corrected position estimate from a candidate path segment of the set of candidate path segments with the highest likelihood.

Abstract: The present disclosure provides methods, devices and systems for route deviation quantification and vehicular route learning based thereon. In some examples, there is provided a method for route deviation quantification of a suggested route. The method comprises: obtaining a ground truth route based on a filtered trajectory, the filtered trajectory including an inferred location of origin and an inferred location of destination; obtaining a suggested route generated based on the inferred location of origin and the inferred location of destination; quantifying a deviation of the suggested route from the ground truth route by calculating an off course ratio based on a combined length of road segments in the suggested route that are matched to corresponding road segments in the ground truth route and a combined length of road segments in the ground truth route.

Abstract: The present invention relates generally to a helmet, method and server for detecting a likelihood of an accident. According to a first aspect, the present disclosure refers to a helmet of detecting a likelihood of an accident, comprising: a sensor configured to detect a signal relating to a user wearing the helmet, the signal including information at a point in time for the user; and a processor configured to communicate with the sensor and to: determine if there is the likelihood of the accident in response to receiving the signal; generate an alert signal in response to the determination, the alert signal indicating there is the likelihood of the accident.

Abstract: Aspects concern an enclosure assembly for mounting on a tube of a vehicle, methods of mounting the assembly on a vehicle, and a vehicle including the assembly. The assembly comprises a clamping portion comprising a concave portion for at least partially surrounding the tube and a flange portion at one end of the concave portion; a holding support plate including a first side for facing the tube and a second side opposite thereto, the first side configured to be attached to the flange portion by a fastening means solely operable from the second side of the holding support plate at a position of operability; a housing comprising a cavity for receiving an electronic circuit and a lower portion to be attached to the second side of the holding support plate. The housing overlaps said position of operability.

Abstract: A communications server apparatus for managing a request for transport-related services, which is configured to, in response to receiving user request data, generate a data record having a plurality of transit point data fields having data for a corresponding plurality of transit points from an origin to a destination, including a variable transit point data field having data that is determined based on data associated with at least one transportation network-related parameter, and having a plurality of trip section data fields for a corresponding plurality of trip sections defining navigation directions from the origin to the destination, and, for each trip section data field, to associate the trip section data field with a respective transit point data field, and, based on the data of the associated transit point data field, to determine a respective transportation mode and to generate transit data in respect of the respective transportation mode.

Abstract: A method, data processing apparatus, and computer code for identifying road intersections includes providing location data obtained from at least one vehicle's trajectory, wherein the location data may include geographical data within a geographical perimeter. The method includes determining node vectors by applying a geographical descriptor model on a target location included in the geographical perimeter. The geographical descriptor model includes a plurality of multiscale node descriptors including a target multiscale descriptor and neighboring multiscale descriptors. Each of the plurality of multiscale node descriptors includes at least two shape descriptors of different geographical resolution. Each of the neighboring locations is at a respective geographical distance from the target location. The node vectors may be respectively determined for each of the plurality of multiscale node descriptors.

Abstract: A method of operating an electric power system, which may include: determining a charge state of a first battery unit and a charge state of a second battery unit; determining a difference between the charge state of the first battery unit and the charge state of the second battery unit; and determining whether to enable discharging simultaneously of both the first battery unit and the second battery unit, or to enable discharging of one of the first and second battery units, based on the difference between the charge state of the first battery unit and the charge state of the second battery unit. At least one of the first and second battery units may be a swappable battery unit. The disclosure further relates to an electric power system and to a computer executable code including instructions for operating an electric power system.

Abstract: An electric power system for an electric vehicle, including: first charging and discharging current paths connected to a first battery unit; second charging and discharging current paths connected to a second battery unit; third charging and discharging current paths for a connection with an electric control system of the vehicle; a first power switch between the first discharging current path and the third discharging current path; a second power switch between the second discharging current path and the third discharging current path; a controlling unit to set the first and second power switches based on states of the accumulators, at least one of the first and second battery units being swappable. A controller, a method, and a vehicle comprising the system are also disclosed.

Abstract: The present disclosure provides methods, devices and systems for route deviation quantification and vehicular route learning based thereon. In some examples, there is provided a method for route deviation quantification of a suggested route. The method comprises: obtaining a ground truth route based on a filtered trajectory, the filtered trajectory including an inferred location of origin and an inferred location of destination; obtaining a suggested route generated based on the inferred location of origin and the inferred location of destination; quantifying a deviation of the suggested route from the ground truth route by calculating an off course ratio based on a combined length of road segments in the suggested route that are matched to corresponding road segments in the ground truth route and a combined length of road segments in the ground truth route.

Abstract: A processor device has a CPU cooperating with an input device and an output device, under control of stored instructions, and is arranged to receive service requests at the input device, assign service requests received in successive time periods to respective batches of requests; access stored service provider data to identify available service providers from among a pool of service providers; after completing the assignment of service requests to a batch, perform a matching process to endeavour to match each service request of the batch of requests to a service provider; and for each service provider to whom a match is made, output a notification of the respective potential match from the output device.