Abstract: In a relay system, an authentication device determines whether a registered identifier of a registered terminal possessed by a user in a vehicle matches an identifier of a first communication terminal received from a relay base station via a base station, generates a permission signal indicating whether to permit relay of wireless communication between the first communication terminal and the base station, depending on the result of determination, and sends the generated permission signal to the relay base station via the base station. The relay base station relays wireless communication between the first communication terminal and the base station when the permission signal indicates that the relay of wireless communication is permitted. The relay base station omits to relay the wireless communication for the communication terminal when the permission signal indicates that the relay of wireless communication is not permitted.

Abstract: Example embodiments are directed to systems and methods for providing end of route navigation. A network system identifies a destination of a route and retrieves a display template based on the destination. The display template provides guidelines for display of end of route content, whereby the display of the end of the route content is different than display of content during a middle of the route. Based on the display template, a display time to trigger display of the end of the route content. The display time may be associated with a threshold distance to the destination. The network system monitors a location of a vehicle along the route and accesses end of route content. Responsive to detecting that the location of the vehicle is at the threshold distance to the destination, the end of the route content is displayed on a device associated with the vehicle.

Abstract: A computing system can receive utilization data from computing devices of requesting users. Based on the utilization data, the system can determine, for each requesting user, an intent of the requesting user, the intent corresponding to a probability that the requesting user will utilize the transport service upon arrival at an arrival location of a transit vehicle. The system may determine a destination for the requesting user that requires additional transport from the arrival location of the transit vehicle. Based on the destination of the requesting user, the system can transmit a set of transport requests to computing devices of a set of the transport providers to facilitate transport for the requesting users at the arrival location of the transit vehicle.

Abstract: Provided is a system for time synchronization between a server and an Internet-of-Things (IoT) device. The system may include a server configured to broadcast a time-point synchronization signal including absolute time point information; and an IoT device configured to receive the broadcast time-point synchronization signal and calculate absolute time point information by using the absolute time point information included in the time-point synchronization signal, computation time information according to an internal computation operation, and transmission time information required to receive the time-point synchronization signal.

Abstract: A travel time estimation system receives trip requests including pair of addresses and a desired time of travel. A processor is programmed to convert the addresses into grid points (Encoded Addresses—EAs) in an array of regularly spaced grid points in a Cartesian Coordinate system. The processor reads a record associated with the EA's to determine a covering grid point (Unique Encoded Address—UEA) associated with each EA, where the associated UEA is located no more than a predetermined maximum distance away from the EA. The processor accesses a second record associated with the pair of UEAs that references a location in a memory that stores estimated travel times between the UEAs at one or more requested trip times. The stored travel time between the UEAs at a time that closest matches the desired time of travel is returned by the processor as the estimated travel time between the addresses provided to the travel time estimation system.

Abstract: Aspects related to game theoretic decision making may be implemented utilizing a sensor, a memory, and a processor. The sensor may detect other vehicles and corresponding attributes as an observation. The memory may store instructions. The processor may execute the instructions to perform acts, actions, or steps, such as constructing a search tree based on the observation, an initial belief, and a vehicle identified as a current opponent vehicle, performing a Monte Carlo Tree Search (MCTS) on the search tree based on a planning horizon and a time allowance to determine a desired action from a set of ego-actions, executing, via vehicle systems, the desired action, detecting an updated observation associated with one or more of the other vehicles, identifying the other vehicles to be updated as the current opponent vehicle, and updating a root node of the search tree based on the current opponent vehicle.

Abstract: Location information is used to build a database of locations having associated audio, video, image, or text data. In some implementations, a device includes a touch-sensitive display and collects data associated with a geographic location of interest. The geographic location of interest can be displayed on a map using an indicator. A touch selection of the indicator provides access to the data through an interface displayed on the touch-sensitive display. One or more locations of interest can be displayed and grouped together by an attribute.

Abstract: An electronic device includes a sensor system and is configured to perform a control method to reduce the power consumption during transportation, for example by aircraft. According to the control method, the electronic device evaluates sensor data from the sensor system for detection of a first condition that indicates that a specific mode of transport of the electronic device has begun; switches the electronic device from a first state to the second state upon detection of the first condition; obtains a predicted time to arrival at a destination; performs a status check at a selected time point in relation to the predicted time of arrival, for detection of an arrival of the electronic device at the destination; and switches the electronic device from the second state to the first state upon detection of the arrival.

Abstract: Computer program products, methods, systems, apparatus, and computing entities for determining/identifying confidence ratings/indicators for delivery of items. In one embodiment, this comprises determining a number of location events that occurred within a zone of confidence for delivery an item to a serviceable address; and responsive to determining the number of location events that occurred within the zone of confidence for delivery the item to the serviceable address, determining, via one or more processors, a confidence rating for delivery of the item to the serviceable address based at least in part on the number of location events that occurred within the zone of confidence.

Abstract: This method comprises a step of determining a reference profile along a lateral trajectory precalculated comprising searching, in the precalculated lateral trajectory, at least one segment of discontinuity comprising a lateral discontinuity, determining a required distance corresponding to a minimum flight distance between the two segments bordering the discontinuity segment and integrating each required distance into the reference profile. This method further comprises a step of determining, on the basis of the reference profile, vertical predictions relating to a vertical trajectory of the aircraft and a step of determining, on the basis of the vertical predictions, a resulting lateral trajectory comprising, for each discontinuity segment, determining a substitution segment connecting the two corresponding bordering segments in a continuous manner.

Abstract: Provided is an electronic device which periodically transmits current location information to the location information service providing server in case of executing grouping applications, produces group including at least one member, selected by a user, of address list information received from the location information service providing server, requests messages requesting group participation to the member included in the group through the social network service providing server in case of generating predetermined events, and periodically receives the location information from the member accepting the group participation and displays the received location information on a map.

Abstract: An apparatus and method of providing a contextual-information-based service are provided. The method includes acquiring information of at least one content posted through a first service based on information on activities of the first service of a user, transmitting the acquired information on the at least one content to a terminal, when any one of the information on the at least one content is selected by the terminal, generating at least one route information for arrival at a time of forming a similar environment to an environment when content corresponding to the selected content information is generated, based on contextual information of the content corresponding to the selected content information, and transmitting the generated at least one route information to the terminal.

Abstract: Methods and systems to dynamically and optimally sequence routes based on historical and real-time traffic conditions, and to predict anticipated traffic conditions along the dynamically generated route are disclosed. Route sequencing may be based on a set of predefined constraints, e.g., distance, time, time with traffic, or any objective cost function. The system of the present invention may be implemented in a vehicle fleet comprising one or more vehicles with one or more depots, or with no depots. An optimization server obtains real-time, historical and/or predicted future traffic, weather, hazard, and avoidance-zone data on road segments to generate a route, while staying within parameters and constraints set by an automatic machine learning process, an artificial intelligence program, or a human administrator. The platform may be coupled to sensors positioned on roads, e.g., speed radar or camera, and sensors positioned in vehicles, e.g., GPS system or on-board diagnostic sensor.

Abstract: This disclosure generally relates to a method and system for scheduling a ride for a third party by a ride requestor. In one embodiment, the method includes receiving a ride request for a third party rider from a user device. The method may further include identifying a set of drivers from a trusted drivers and identifying from the set of trusted drivers, an optimal driver. The method may further include transmitting a ride confirmation to the ride requestor, the optimal driver, and the third party rider.

Abstract: Technologies are disclosed for interacting with a virtual assistant to coordinate, recommend and perform actions. According to some examples, a user may use their voice to interact with a virtual assistant to receive recommendations relating to determining when to perform one or more actions. For example, a user may interact with a virtual assistant to request a recommendation as to when they should leave for the office, leave the office for the day, perform a task, and the like. The recommendation system accesses selected data sources (e.g., calendars, task lists, traffic, transportation schedules, maps, . . . ) to obtain data used in generating the recommendation. In addition, to providing a recommended time, the virtual assistant may also recommend actions to perform. The virtual assistant may also provide notifications to one or more other users that includes information relating to the user leaving.

Abstract: A computing system can receive utilization data from computing devices of requesting users. The system can process the utilization data by (i) executing a transit monitoring engine on the utilization data to detect a cluster of requesting users currently being transported by a third-party transit vehicle to an arrival location of the third-party transit vehicle, and (ii) executing a transport coordination engine on the utilization data to determine, for each requesting user in the cluster, an intent of the requesting user corresponding to a probability that the requesting user will utilize the transport service upon arrival at the arrival location of the third-party transit vehicle.

Abstract: A shovel includes a lower traveling body, an upper turning body turnably mounted on the lower traveling body, an attachment attached to the upper turning body and configured to load a transporter vehicle with an object, and a display device configured to display remaining time calculated on a transporter vehicle basis.

Abstract: An embodiment terminal system for a taxi vehicle includes a first terminal positioned for a passenger of the taxi vehicle, and a second terminal positioned for a driver of the taxi vehicle and configured to display a first communication user interface (UI) for receiving information to be transferred from the driver to the passenger on a first screen, and in response to any one of first options included in the first communication UI being selected, to transmit first message information that is determined based on the selected any one first option to the first terminal, wherein the first options included in the first communication UI are chosen based on driving status information of the taxi vehicle, a boarding type of the passenger, or surrounding environment information of the taxi vehicle.

Abstract: This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.

Abstract: Aspects of the disclosure relate to a system and method for electronically monitoring and using data indicative of driver characteristics based on sensors. For example, the system may determine an origin associated with a user, a destination associated with the user, and a desired arrival time at the destination. A driving characteristic computing device of the system may determine an estimate for a duration of a trip from the origin to the destination. Based on the estimate for the duration and the desired arrival time at the destination, the driving characteristic computing device may determine a recommended departure time from the origin for the user. Based on sensor data, the system may determine a departure time from the origin for the user. The driving characteristic computing device may compare the departure time to the recommended departure time, and a value of a property of insurance for the user may be determined based on the comparing.

Abstract: An autonomous vehicle (AV) planning method comprises: receiving sensor inputs pertaining to an AV; processing the AV sensor inputs to determine an encountered driving scenario; in an AV planner, executing a tree search algorithm to determine a sequence of AV manoeuvres corresponding to a path through a constructed game tree; and generating AV control signals for executing the determined sequence of AV manoeuvres; wherein the game tree has a plurality of nodes representing anticipated states of the encountered driving scenario, and the anticipated driving scenario state of each child node is determined by updating the driving scenario state of its parent node based on (i) a candidate AV manoeuvre and (ii) an anticipated behaviour of at least one external agent in the encountered driving scenario.

Abstract: Disclosed embodiments include systems, vehicles, and methods for receiving inputs indicative of a destination and a potential intermediate destination and determining a time potentially available at the intermediate destination. In an illustrative embodiment, a system includes a computing device having computer-readable media storing computer-executable instructions configured to cause the computing device to receive a first input indicative of a destination. A second input is received that is indicative of a desired arrival time at the destination. A third input is received that is indicative of an intermediate destination to be visited before traveling to the destination. A first travel time to the intermediate destination, a second travel time to the destination, and a time available at the intermediate destination are determined. The time available at the intermediate destination is communicated to a user.

Abstract: According to an aspect of the present disclosure, provided is a shared vehicle service providing method based on a shared vehicle management server communicating with a shared vehicle and a user device. Also provided is a shared vehicle service providing method for managing an article of a shared vehicle user on the basis of a shared vehicle management server. More specifically, provided is a shared vehicle service providing method in which a shared vehicle management server manages dispatch of a shared vehicle and an article of a user on the basis of data acquired from the shared vehicle and a user device.

Abstract: A vehicle determines that a stop is upcoming along a route and determines that the upcoming stop will place the vehicle within range of a wireless transceiver. The vehicle approximates a predicted transfer rate of the wireless transceiver and determines if data onboard the first vehicle is to be uploaded, based on at least a size of the data, a priority assigned to the data and the predicted transfer rate. Additionally, the vehicle determines a predicted duration of communication between the vehicle and the transceiver based on the route and the upcoming stop, allowing the vehicle to determine a first predicted amount of data able to be transferred. The vehicle designates first data for upload, based on the first data having a size that is below the first predicted amount and begins transferring the designated data responsive to establishing communication with the wireless transceiver.

Abstract: Examples of service call-ahead systems and methods are disclosed. In one example implementation according to aspects of the present disclosure, a service order management system includes a processing device, a servicer device, and a memory device. The service order management system is enabled at least to prompt a servicer to modify an initial estimated time of arrival (ETA) and notify a customer of the modified ETA of a servicer at a service destination. Prompting the servicer to modify the initial ETA enables the processing device to notify the customer of the modified ETA, which is more accurate than the initial ETA. Other service call-ahead and notification techniques are also disclosed.

Abstract: Aspects of the present disclosure relate to a vehicle for maneuvering a passenger to a destination autonomously. The vehicle includes one or more computing devices that receive a request for a vehicle from a client computing device. The request identifies a first location. The one or more computing devices also determine whether the first location is within a threshold outside of a service area of the vehicle. When the location is within the threshold distance outside of the service area of the vehicle, the one or more computing devices identify a second location within the service area of the vehicle where the vehicle is able to stop for a passenger and based on the first location. The one or more computing devices then provide a map and a marker identifying the position of the second location on the map for display on the client computing device.

Abstract: In one embodiment, a method comprises determining, based on one or more metrics indicative of passenger demand and driver supply associated with a transportation service, to send a first minimum fare offer to a first driver, the first minimum fare offer specifying a first minimum amount of compensation to be provided to the first driver for a first time period; tracking compensation accrued by the first driver during the first time period for servicing at least one ride for the transportation service; and determining compensation for the driver for the first time period, wherein the determined compensation is the greater of the first minimum amount of compensation specified in the first minimum fare offer and the tracked compensation accrued by the first driver during the first time period for servicing the at least one ride for the transportation service.

Abstract: A system (100) and method for finding a likely available parking spot within a geographical area are disclosed. The system (100) may be configured to receive a request for directions for a first vehicle (702) to an open parking spot within a particular geographical area (210, 214), receive sensor information indicating potential open parking spots (346, 348), identify likely available parking spots (346, 348), and receive information regarding other vehicles searching for parking in the same geographical area. The system may use the identified likely available spots and the information regarding other vehicles searching for parking when computing a route (218, 220) to a likely available parking spot.

Abstract: Provided is an estimating system including: at least one memory configured to store computer program code; and at least one processor configured to access said at least one memory and operate according to said computer program code, said computer program code including: via point acquisition code configured to cause the at least one processor to acquire a position of a via point, wherein the route is a path followed by a mobile object when the mobile object moves toward a destination; staying time period code configured to cause the at least one processor to estimate, based on the position of the via point, a staying time period; and arrival time code configured to cause the at least one processor to estimate, by including the staying time period, an arrival time of the mobile object at the destination.

Abstract: Systems and methods related to ridesharing may involve receiving a ride request from a user including a desired destination and information associated with a current location of the user, and receive location information of on-demand and of fixed-line ridesharing vehicles and based on the received location information, identify a fixed-line ridesharing vehicle available to pick from a first pick-up location identify an on-demand ridesharing vehicle available to pick from a second pick-up location, both locations other than the current location of the user, determine a first value and a second value indicative of a time duration for the fixed-line and one demand ridesharing vehicles to arrive at the first and second pick-up locations, respectively, and when the first value is less than the second value, inform the user that the fixed-line ridesharing vehicle is enroute and direct the user to the first pick-up location.

Abstract: An information processing apparatus according to an embodiment includes an acquisition unit, an estimation unit, and a provision unit. The acquisition unit acquires stop information concerning a situation of a stop of a user at a facility on a route from a place of departure to a place of destination. The estimation unit estimates an amount of time required to the place of destination, based on the stop information that is acquired by the acquisition unit. The provision unit provides a content that is based on the amount of time required that is estimated by the estimation unit.

Abstract: Example embodiments described herein therefore relate to an AR guidance system to perform operations that include: detecting a client device at a location within a geo-fenced area, wherein the geo-fenced area may include within it, a destination of interest; determining a route to the destination of interest from the location of the client device within the geo-fenced area; causing display of a presentation of an environment within an AR interface at the client device; detecting a display of real-world signage within the presentation of the environment; generating a media item in response to the detecting the display of the signage within the presentation of the environment, wherein the media item is based on the route to the destination of interest; and causing display of the media item within the AR interface based on the position of the signage within the presentation of the environment.

Abstract: A robot according to an embodiment of the present disclosure includes an authentication interface for authenticating a user's boarding of the robot using authentication information of the user, a position detector for detecting a position of the robot in a space, a processor for identifying a first section corresponding to the detected position among at least one section in the space, recognizing at least one driving mode for the first section among a plurality of driving modes with different driving speeds, setting one of the recognized at least one driving mode as a driving mode for the first section based on the authentication information, and controlling driving of the robot based on the set driving mode, and a display for outputting information on the set driving mode.

Abstract: This disclosure relates generally to a method and system for dynamically predicting vehicle arrival time using a temporal difference learning technique. Due to varying uncertainties predicting vehicle arrival time and travel time are crucial elements to make the public transport travel more attractive and reliable with increased traffic volumes. The method includes receiving a plurality of inputs in real time and then extracting a plurality of temporal events from a closest candidate trip pattern using a historical database. Further, a trained temporal difference predictor model (TTDPM) is utilized for dynamically predicting the arrival time from the current location of the vehicle to the target destination based on the plurality of nonlinear features. The non-linear features and linear approximator formulation of TTDPM provides fast gradient computation improves training time.

Abstract: A system and method of augmenting a delivery route. The method comprises receiving first location information from a first position device and receiving second location information from a second position device. The method further comprises storing the first and second location information in a memory structure and determining, based on at least one of the first and second information, a time and a location for each of a plurality of stops. The method also comprises reconciling the determined time and location of each of the plurality of stops with a stored route comprising a plurality of stored stops, the stored stops having a stored location and a stored time associated therewith and estimating a plurality of transition times between pairs of the plurality of stops.

Abstract: Disclosed embodiments include systems, vehicles, and methods for receiving inputs indicative of a destination and a potential intermediate destination and determining a time potentially available at the intermediate destination. In an illustrative embodiment, a system includes a computing device having computer-readable media storing computer-executable instructions configured to cause the computing device to receive a first input indicative of a destination. A second input is received that is indicative of a desired arrival time at the destination. A third input is received that is indicative of an intermediate destination to be visited before traveling to the destination. A first travel time to the intermediate destination, a second travel time to the destination, and a time available at the intermediate destination are determined. The time available at the intermediate destination is communicated to a user.

Abstract: A system for navigation and ride hailing that provides options for navigating traffic through express lanes or the like. Information, such as express lane profile information, toll price information for the express lane during a period, and traffic information along one or more paths may be used to determine the fastest options along to a destination at different toll price points.

Abstract: A method for prediction model determination can include: determining a set of models, training each model, determining package transit data, evaluating the set of models, selecting a model from the set of models, predicting package transit data using the selected model, and/or any other suitable element.

Abstract: An electronic apparatus includes a wireless communication section that performs wireless communication through an external access point, a processing section that performs communication control of the wireless communication section, and a storage section. The storage section stores, in association with each other, terminal identification information for identifying the terminal device that performed wireless communication through the first access point and identification information for identifying the first access point. The wireless communication section performs a packet capturing process. The processing section determines, based on a capturing result, the identification information of the first access point, and the terminal identification information of the terminal device, whether switching from the first access point is performed.

Abstract: A method, including providing a device for an individual, storing information regarding a travel schedule or itinerary of the individual, determining a location of the device with a global positioning device, automatically and continuously monitoring the location of the device, comparing the location of the device with the travel schedule or itinerary, detecting a deviation of the device from a travel schedule or itinerary, or detecting an absence of, or a leaving of, the device from an expected location on the travel schedule or itinerary, generating a travel route deviation message and transmitting the travel route deviation message to a first communication device.

Abstract: An example method includes: receiving information indicative of a desired aircraft cruise insertion point comprising achieving a desired cruise altitude for an aircraft within a predetermined period of time from departure, or within a predetermined distance from departure; determining a desired airspeed for the aircraft; prior to a flight of the aircraft, determining, based on the desired airspeed and the desired aircraft cruise insertion point, a climb trajectory for the aircraft; and during a climb flight phase of the aircraft, varying climb thrust of an engine of the aircraft to follow the climb trajectory and achieve the desired aircraft cruise insertion point.

Abstract: Techniques described herein may be used to conserver battery power of an Internet of Things (IoT) tracker by increasing the overall amount of time that the IoT tracker is in a battery conservation mode (a sleep mode, a Power Save Mode (PSM), etc.). An IoT tracker may implement a battery conservation policy that may include instructions that cause the IoT tracker to monitor certain conditions, determine when the conditions satisfy a particular trigger, and implement a battery conservation mode in response to those conditions. Examples of such conditions may include (1) the IoT tracker being close to a user device designated to track the location of the IoT tracker, (2) identifying that a current time and day are associated with a pre-selected schedule for disabling tracking services, (3) the IoT tracker being located within a particular geographic area, and more.

Abstract: In one aspect, a computerized method for using machine learning methods for modeling for time in traffic for a vehicle on a delivery route includes the step of collecting a set of traffic feature values from a database. The method includes the step of normalizing the set of traffic feature values. The method includes the step of providing a machine learning model. The method includes the step of inputting the set of normalized traffic features into the machine learning model. The method includes the step of training the machine learning model with the set of normalized traffic features. The method includes the step of determining a target time for the vehicle on the delivery route.

Abstract: Disclosed are systems and methods relating to providing intersection metrics based on telematic data.

Abstract: Method and apparatus for flight path information reporting are disclosed. One method of UE such as aerial vehicles for flight path information reporting includes determining whether current flight path information is changed comparing with planned flight path information; and transmitting a report including the current flight path information to a network equipment such as eNB. The method contributes to improve mobility performance of the aerial vehicles by timely communicating the current flight path information.

Abstract: Systems, methods, and apparatuses described herein relate to a method for providing authentication with respect to a cash delivery request made by a customer using a customer user device of the customer. The method includes receiving at least one of security information or a first cash authentication code (CAC) from a cash dispenser machine. The cash dispenser machine obtains the security information or the first CAC from a first user device of a driver or the driver. The method includes authenticating the driver based on at least one of the security information or the first CAC. The method includes generating a second CAC. The method includes transmitting the second CAC to the first user device of the driver. The method includes authenticating the driver and the customer based on at least one of the security information or the second CAC.

Abstract: Aspects of the disclosure provide for advanced trip planning for an autonomous vehicle service. For instance, an example method may include determining a potential pickup location for a user, determining a set of potential destination locations for a user, and determining a set of potential trips. For each potential trip a vehicle of a fleet of autonomous vehicles of the service may be assigned and trip information, including an estimated time of arrival for the assigned vehicle of the potential trip to reach the destination location of the potential trip, may be determined. The trip information for each potential trip may be provided for display to the user. Thereafter, confirmation information identifying one of the set of potential trips may be received, and the assigned vehicle for one first of the set of potential trips may be dispatched to pick up the user.

Abstract: Technologies are disclosed for interacting with a virtual assistant to coordinate, recommend and perform actions. According to some examples, a user may use their voice to interact with a virtual assistant to receive recommendations relating to determining when to perform one or more actions. For example, a user may interact with a virtual assistant to request a recommendation as to when they should leave for the office, leave the office for the day, perform a task, and the like. The recommendation system accesses selected data sources (e.g., calendars, task lists, traffic, transportation schedules, maps, . . . ) to obtain data used in generating the recommendation. In addition, to providing a recommended time, the virtual assistant may also recommend actions to perform. The virtual assistant may also provide notifications to one or more other users that includes information relating to the user leaving.

Abstract: A system for operating an automated-taxi includes an input-device and a controller-circuit. The input-device is operable by a client to indicate a desired-destination of the client. The display is viewable by the client. The controller-circuit is in communication with the input-device and the display. The controller-circuit is configured determine a preferred-route in accordance with the desired-destination and a plurality of other-destinations indicated by a plurality of other-clients of an automated-taxi. The preferred-route includes an alternate-destination for the client. The alternate-destination characterized as within a distance-threshold of the desired-destination of the client. The controller-circuit is further configured to operate the display to request a route-approval from the client for the alternate-destination, and, in response to receiving the route-approval, operate the automated-taxi in accordance with the preferred-route to transport the client to the alternate-destination.

Abstract: This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.