Abstract: An autonomous vehicle includes one or more sensors for detecting an object in an environment surrounding the autonomous vehicle and a vehicle computing system comprising one or more processors receiving canonical route data associated with at least one canonical route, and controlling travel of the autonomous vehicle based on sensor data from the one or more sensors and the canonical route data associated with the at least one canonical route. The at least one canonical route comprises at least one roadway connected with another roadway in a plurality of roadways in a geographic location that satisfies at least one route optimization function derived based on trip data associated with one or more traversals of the plurality of roadways in a geographic location by one or more autonomous vehicles.

Abstract: In a computer-implemented method of assessing driving performance using route scoring, driving data indicative of operation of a vehicle while the vehicle was driven on a driving route may be received. Road infrastructure data indicative of one or more features of the driving route may also be received. A route score for the driving route may be calculated using the road infrastructure data, and a driving performance score for a driver of the vehicle may be calculated using the driving data and the route score for the driving route. Data may be sent to a client device via a network to cause the client device to display the driving performance score and/or a ranking based on the driving performance score, and/or the driving performance score may be used to determine a risk rating for the driver of the vehicle.

Abstract: In exemplary embodiments, methods, systems, and vehicles are provided, with the vehicle including vehicle systems, a communication bus, a first processor, and a communication bus transceiver. The first processor is configured to at least facilitate: determining whether a potential safety concern is present pertaining to control the vehicle systems; and providing communications along the communication bus of the vehicle, the communications including an indication of the potential safety concern. The communication bus transceiver is coupled to the first processor and configured to at least facilitate: recognizing the indication of the potential safety concern; and inhibiting the control for the vehicle systems when the indication of the potential safety concern is recognized by the communication bus transceiver.

Abstract: In an autonomous driving control apparatus, a control unit communicable with the memory deter mines, upon execution of the autonomous driving, whether it is necessary to update a primary scheduled travel route for the autonomous vehicle toward a destination in accordance with at least one of failure information about the autonomous vehicle and route condition information indicative of a condition of the primary scheduled travel route. The control unit updates the primary scheduled travel route to a new scheduled travel route in accordance with one or more driving operations executable by the autonomous vehicle upon determination that it is necessary to update the scheduled travel route. The control unit controls the autonomous driving of the autonomous vehicle in accordance with the new scheduled travel route.

Abstract: A control device includes a controller. The controller detects, as an event, that a target present outside a vehicle has been overlooked by a driver of the vehicle during. The controller controls the outputting of a target image, which is an image including the target overlooked in the detected event, toward the driver.

Abstract: Systems and methods of generating scenic routes and safe parking locations near scenic points are provided. Based at least in part upon a driver indication of a preference for a scenic route from an origin location to a destination location, a mobile device application may generate a scenic route by selecting route segments between the origin location and the destination location associated with a large number of scenic points. Scenic points may be identified based at least in part upon historical driver telemetry data and POI data. For instance, if historical telemetry data indicates that a large number of drivers stop briefly at a location not known to be near a POI, that location may be a scenic location (e.g., a location where drivers frequently leave their vehicles to take photos). Additionally, safe parking locations near each scenic point may be identified based at least in part upon historical vehicle damage data, and navigation directions to safe parking locations may be provided.

Abstract: An apparatus, method, and computer program product are provided to translate request data objects into ordered sequence of tasks to be performed by network response assets and related systems to allow for the efficient movement of network resources and other resources in high-volume network environments. In some example implementations, otherwise unrelated request data objects and related parameters are interleaved into an ordered sequence of tasks, and a renderable object associated therewith is provided to a user interface of a mobile system associated with a network response asset. Location information such as triangulated position information associated with one or more mobile devices, along with other system characteristics may be used to ascertain system status and otherwise effectuate request translation.

Abstract: Methods and systems for providing a user with content relevant to a location of interest to the user, when the user is determined to be at or near the location, are presented. The user's interest in the location may be determined based on queries about the location received from the user prior to the user arriving at the location. The queries received from the user about the location are used to build a location recommendation model, which generates personalized content relevant to the location and to one or more interest verticals identified for the user. The location recommendation model is built using a location recommendation engine that collects data about the user, the queried location, one or more associations between the user, the queried location, and/or one or more other users, as well as various other information related to the user's interests and the queried location.

Abstract: An approach is provided for argumentative navigation routing. The approach involves, for example, determining a recommended route and an alternative route. The approach also involves iteratively presenting one or more justification messages in support of the recommended route until a response is detected from a user that either rejects or accepts the one or more justification messages. The one or more justification messages are selected from among a plurality of argumentative reason classes. The approach further involves determining an accepted argumentative reason class from among the plurality of argumentative reason classes that corresponds to an accepted justification message of the one or more justification messages. The approach further involves prioritizing the accepted argumentative reason class to generate one or more subsequent justification messages in a subsequent argumentative routing interaction.

Abstract: A computer-implemented method includes initializing a navigation application on a device, determining a current location of the device, and receiving a destination. The method also includes determining whether a known geographical feature is located on a travel path to the destination. The known geographical feature may be derived from a user profile. The method, in response to determining that a known geographical feature is not located on the travel path to the destination, includes outputting graphical and audio directions to the destination. In response to determining that a known geographical feature is located on the travel path to the destination, a sub-method includes determining whether the device is currently in a known area and outputting graphical and audio directions to the known geographical feature in response to determining that the device is not currently in the known area.

Abstract: Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A first autonomous vehicle may receive a communication from a second autonomous vehicle travelling on the same road as the first autonomous vehicle, where the communication includes an indication of a maneuver which will be performed by the second autonomous vehicle. The first autonomous vehicle may then analyze the communication to identify a first maneuver for the first autonomous vehicle in response to the second maneuver performed by the second autonomous vehicle. Thus, the first autonomous vehicle may move in accordance with the first maneuver.

Abstract: An information processing system includes a vehicle and an information processor that acquires information acquired by the vehicle from the vehicle. The vehicle acquires location information of the vehicle, acquires driving information of a driver of the vehicle, and provides route guidance on the basis of route guidance information that is generated in the information processor. The information processor stores traffic accident information, in which driving skill of a driver involved in a traffic accident occurred in the past and the number of the traffic accident at a point where the traffic accident has occurred are associated with location information of the point where the traffic accident has occurred, calculates the driving skill of the driver on the basis of the driving information, and generates the route guidance information on the basis of the calculated driving skill and the traffic accident information.

Abstract: A vehicle and a control method thereof are provided. The vehicle may include a sensor configured to acquire behavior data of the vehicle; a communicator configured to communicate with a server; an user interface configured to receive commands from a user and provide route guidance information; and a controller configured to acquire first user propensity information from the server through the communicator, determine second user propensity information based on the behavior data of the vehicle, compare the first user propensity information with the second user propensity information, and provide route guidance information through the user interface based on a comparison result.

Abstract: The disclosure describes systems and methods for controlling a geo-fence. Through the use of the geo-fence and through monitoring of connections between mobile devices and the vehicle, a geo-fence is dynamically enabled and disabled for a user of a vehicle and the geo-fence control system provides notifications to users of the vehicle.

Abstract: Various embodiments provide techniques for performing an operation that includes receiving a request specifying one or more geospatial commands. The operation further includes generating a navigation query based on the one or more geospatial commands and using a user-specific geospatial command model generated based on collected user behavior and feedback. The operation also includes executing the navigation query against a navigation database to determine route and destination information.

Abstract: An approach is provided for determining and presenting a spatial-temporal mobility pattern of a vehicle with respect to a user based on user appointments. A routing platform identifies a user of a vehicle, one or more appointments of the user, or a combination thereof. The routing platform determines a spatial-temporal mobility pattern of the vehicle with respect to the user based on one or more locations, one or more scheduling times, and one or more context, or a combination thereof of the one or more appointments.

Abstract: Systems and methods for reconciling a conflict between a rider-selected route and driving preferences of a driver are provided. In example embodiments, a networked system accesses driving preferences of the driver, wherein the driving preferences include preferences derived from past selection of routes by the driver. The networked system detects the conflict between characteristics of the rider-selected route and the driving preferences and determines one or more routes from a location of a vehicle of the driver to a destination based on the driving preferences. The network system reconciles the rider-selected route with the driving preferences by replacing at least one segment of the rider-selected route with at least one segment from the one or more routes to generate a reconciled route. The reconciled route is then displayed on a user interface of a device of the driver.

Abstract: Techniques for determining a configuration for deployment of a public transportation system including a plurality of electric public transportation vehicles, in particular electric buses, are disclosed. At least one processor may determine, prior to deployment of the public transportation system and based on received information on timetables and geographical route profiles, a fleet size of a fleet of electric public transportation vehicles, on-board battery parameters of on-board batteries to be installed in electric public transportation vehicles, and charging infrastructure parameters associated with a charging infrastructure to be installed for charging the on-board batteries of the electric public transportation vehicles.

Abstract: An autonomous driving vehicle includes a main vehicle part, a processor, and a memory storing thereon a computer program, which when executed by the processor, causes the processor to perform operations. The operations include detecting a gesture made, to try to stop the main vehicle part, by a person present near a road on which the main vehicle part is running, determining whether there is a passenger in the main vehicle part, and controlling autonomous driving of the main vehicle part. In a case where it is determined that there is no passenger in the main vehicle part, when a person making the gesture is detected, the controlling controls the main vehicle part to stop near the person.

Abstract: In one aspect, computerized method of a managing an online social network comprising: providing an online social network, wherein the online social network comprises a set of nodes, wherein each node represents a user and a set of relationships between each node; managing a private profile setting in the online social network by: in the settings of a user's dashboard of the online social networking-computing, providing the user an option to change to a private user from a public user; detecting that the user has selected to be a private user; and assigning a unique networking-computing platform identifier to the private user, wherein the unique networking-computing platform identifier is required to search for the private user in the online social network, wherein the private user cannot make any comment to another user's post, and wherein the private user is enabled to like the user's post.

Abstract: The present invention includes methods and systems for calculating navigation routes, in particular by using historical navigation data from one or more users of the system to optimise the route calculation for a given geographical area, e.g. a city, and/or for an individual user. By updating the criteria used to determine optimal routes based on feedback from users, the calculated navigation routes are further improved.

Abstract: A traffic control system and a method for optimizing navigational routing based on per-intersection real-time traffic conditions data. One aspect is a method of providing navigational guidance. The method includes identifying at least one intersection along at least one initial route to a destination; modifying the at least one initial route based on user preferences and traffic conditions data associated with the at least one intersection to yield at least one modified route; receiving a selection of a route from among the at least one modified route; receiving updated traffic conditions data for at least one corresponding intersection along the route selected; and modifying the route selected based on the updated traffic conditions data.

Abstract: Systems and methods for processing at least one service request for an on-demand service are provided. The systems may perform the methods to obtain a plurality of example service orders, each example service order of the plurality of example service orders may include a feature associated with a section of a plurality of sections of a measurement; cluster the plurality of example service orders into a plurality of subsets of example service orders, the feature of each example service order in a same subset of example service orders may be associated with a same section of the measurement; for each of the plurality of subsets of example service orders, train a first model of estimated time of arrival (first ETA model) using the subset of example service orders; and store structured data in the at least one storage medium encoding the plurality of first ETA models.

Abstract: An online system provides navigation information customized using travel preferences of users. The online system receives actions performed by users that may indicate their geographical locations of interest. The online system may use a model to predict a user's level of interest in destination geographical locations. The online system generates navigation information or travel information that describes routes from origin geographical locations of users to destination geographical locations to which the users are likely to travel. The online system transmits the navigation information to client devices for presentation as personalized or dynamically-created content items to users. The online system may generate navigation information using catalogs describing routes between geographical locations. For instance, the catalog indicates a vehicle for navigation along a route, as well as origin and destination geographical locations.

Abstract: A navigation system can identify locations of interest at a route destination. Those locations of interest at the destination can fall within a predetermined distance of the destination or those that are responsive to a query that includes the destination as a parameter. The navigation system can receive a selection of an identified location of interest near the destination, and update a route to terminate at the identified location of interest rather than the original destination. Information identifying the origin and destination for the route can be collected at a first user device and the route can be displayed at a second user device. Additional information is then received from the first user device (such as a selection of an identified location of interest near the destination). This additional information received at the first user device is used to update the route that is displayed on the second user device.

Abstract: A navigation system can identify locations of interest at a route destination. Those locations of interest at the destination can fall within a predetermined distance of the destination or those that are responsive to a query that includes the destination as a parameter. The navigation system can receive a selection of an identified location of interest near the destination, and update a route to terminate at the identified location of interest rather than the original destination. Information identifying the origin and destination for the route can be collected at a first user device and the route can be displayed at a second user device. Additional information is then received from the first user device (such as a selection of an identified location of interest near the destination). This additional information received at the first user device is used to update the route that is displayed on the second user device.

Abstract: In one aspect, a method of a managing an online social network includes the step of providing an online social network. The online social network includes a set of nodes, wherein each node represents a user and a set of relationships between each node. The method includes the step of identifying a set of users that are members of the same family. The method includes the step of identifying each node of the set of users that are members of the same family. When a member of the set of users interacts with another member of the set of users determine an interaction; determine a family-relationship status between the member and the other member; and score the interaction. The method includes the step of generating a family bonding index based on the family relationship status of the member and the other member and the score the interaction. The method includes the step of updating the set of relationships of the online social network based on the family bonding index.

Abstract: An information processing method obtains location information indicating a location of a moving body at a time of detection of occurrence of a predetermined event that triggers recording of a photographic image acquired by photography using a photographic apparatus installed on the moving body. Then, the method determines whether or not the location indicated by the location information is a location where the driver is estimated to have visited a plurality of times, based on at least one of action history information indicating action history of a driver of the moving body and related-person information regarding a related person of the driver. Finally, the method controls to record the photographic image, according to the determination of whether or not the location indicated by the location information is a location where the driver is estimated to have visited a plurality of times.

Abstract: A method for recommending a route includes obtaining a first start point and a first end point relating to a road network. The method also includes obtaining a route recommendation model. The method further includes determining a recommendation route from the first start point to the first end point based on the route recommendation model.

Abstract: A destination selection system for determining travel destinations includes a human-machine interface (HMI); a positioning system in communication with the HMI; a controller in communication with the HMI and the positioning system, the controller having a processor, and a memory, the processor executing programmatic logic stored in the memory. The programmatic logic includes a first logic to display an icon on the HMI based on position data received from the positioning system; and a second logic for sizing the icon based on at least one of the position data and one or more additional factors, and in response to at least one of the position data and one or more additional factors actively and continuously resizing the icon.

Abstract: Systems and methods are provided for enabling communication, without breaching the engine firewall, between a datalogger located on one side of the firewall and one or more sensor devices that are located on the opposite side of the firewall. The systems and methods described herein can allow a transmitting node (i.e., a transmitting datalogger) to transmit collected data (from an auxiliary sensor) to a receiving node (i.e., a receiving datalogger) while reducing or minimizing various difficulties associated with addition of an auxiliary sensor in the engine environment. The transmission of data from the transmitting node to the receiving node can correspond to wired data communication or wireless data communication.

Abstract: Techniques for augmenting or modifying ordered results include sending a search query to a location service, receiving ordered results responsive to the search query, and augmenting or modifying the search results based on user-specific information stored locally at a consumer computing device. The ordered results may be augmented by reordering a search result in the list of search results based on the user-specific information, and/or by graphically representing a location included in the ordered search results based on the user-specific information. The augmented search results may be presented on a display associated with the consumer computing device in a manner specific to a user of the consumer computing device.

Abstract: Some embodiments provide a method for an application executing on a mobile device. The method renders an animated navigation presentation for output to an external display screen not part of the mobile device. The navigation presentation includes an animated map showing at least a portion of a route to a destination. The method simultaneously displays information regarding a maneuver along the route on a display screen of the mobile device without displaying a same animated map on the mobile device. In some embodiments, the displayed information regarding the maneuver comprises a graphical instruction and a text instruction for a next maneuver along the route.

Abstract: Some embodiments of the invention provide a mobile device with a novel route prediction engine that (1) can formulate predictions about current or future destinations and/or routes to such destinations for the device's user, and (2) can relay information to the user about these predictions. In some embodiments, this engine includes a machine-learning engine that facilitates the formulation of predicted future destinations and/or future routes to destinations based on stored, user-specific data. The user-specific data is different in different embodiments. In some embodiments, the stored, user-specific data includes data about any combination of the following (1) previous destinations traveled to by the user, (2) previous routes taken by the user, (3) locations of calendared events in the user's calendar, (4) locations of events for which the user has electronic tickets, and (5) addresses parsed from recent e-mails and/or messages sent to the user.

Abstract: Aspects of the disclosure relate to enhanced telematics processing systems with improved third party source data integration features and enhanced customized driving output determinations. A computing platform may receive telematics data and third party source data. The computing platform may enrich the telematics data using the third party source data. After generating the enriched telematics data, the computing platform may use machine learning algorithms and datasets to validate the enriched telematics data. The computing platform may ingest, via a batch ingestion process, the enriched telematics data. For example, the computing platform may store the enriched telematics data and generate additional enriched telematics data until expiration of a predetermined period of time. The computing platform may ingest the enriched telematics data associated with each trip. Once the enriched telematics data has been ingested, the computing platform may generate a standardized common trip format output for each trip.

Abstract: A vehicle is disclosed for providing increased friction between the wheels of a vehicle and the ground. An example vehicle includes an anti-lock brake system, inertial sensor, and wheels. The vehicle also includes a computing system configured to deploy aggregate to an area proximate the wheels, responsive to determining that a vehicle traction value is below a first threshold. The computing system is also configured to, after deploying the aggregate, deploy a friction mat to an area proximate the wheels, responsive to determining that the vehicle traction value remains below a second threshold.

Abstract: Methods and systems for communicating between autonomous vehicles are described herein. Such communication may be performed for signaling, collision avoidance, path coordination, and/or autonomous control. A first autonomous vehicle may receive a communication from a second autonomous vehicle travelling on the same road as the first autonomous vehicle, where the communication includes an indication of a maneuver which will be performed by the second autonomous vehicle. The first autonomous vehicle may then analyze the communication to identify a first maneuver for the first autonomous vehicle in response to the second maneuver performed by the second autonomous vehicle. Thus, the first autonomous vehicle may move in accordance with the first maneuver.

Abstract: Methods and systems are provided for maintaining a database with details of frequently travelled routes and selecting a travel route for a vehicle from the database based on particulate filter regeneration requirements. In one example, a method may include selecting one or more routes from the database based on a current particulate filter soot level, fuel efficiency, travel time, operator behavior, etc., ranking the routes based on the particulate filter regeneration efficiency of each of the one or more routes. At vehicle key-off, the database may be updated with information regarding the travelled route including a level of particulate filter regeneration achieved during the drive cycle.

Abstract: A system for and a method of determining that a detoured trip is to be presented to a potential passenger. The method comprises receiving a rideshare request; generating a rideshare request parameter; and accessing, from a database, trip filtering parameters associated with trips. The method further comprises determining that at least one of the trips is a candidate for which a detour route is to be computed based on an analysis of the rideshare request parameter and a corresponding trip filtering parameter associated with the at least one of the trips; causing to compute, for the at least one of the trips determined as being the candidate for which the detour route is to be computed, a detoured trip; and determining that the detoured trip is to be presented to the potential passenger by analyzing the deviation value of the detoured trip and the deviation threshold.

Abstract: Navigation applications may utilize various different data sources to provide route information. In one example, a method of operation may include receiving at least one destination, determining a navigation route for a transport to navigate from a point of origin to the destination, applying user characteristic to the navigation route, determining an alternative navigation route with at least one intermediate destination based on the at least one user characteristic and the at least one destination, and providing the alternative navigation route to a user device.

Abstract: In one aspect, a method of a managing an online social network includes the step of providing an online social network. The online social network includes a set of nodes, wherein each node represents a user and a set of relationships between each node. The method includes the step of identifying a set of users that are members of the same family. The method includes the step of identifying each node of the set of users that are members of the same family. When a member of the set of users interacts with another member of the set of users determine an interaction; determine a family-relationship status between the member and the other member; and score the interaction. The method includes the step of generating a family bonding index based on the family relationship status of the member and the other member and the score the interaction. The method includes the step of updating the set of relationships of the online social network based on the family bonding index.

Abstract: A steering apparatus and a steering assist method are capable of being preferably used for a first curve and a second carve which are different in cornering direction and which are sequentially provided. When a vehicle travels through the first curve and the second curve, a controller in the steering apparatus shifts a steering angle control value with respect to a steering angle detection value in response to returning of a steering wheel and decrease of steering assist torque to a torque threshold value while the vehicle is running in the first curve and starts generation of the steering assist torque for the second curve before the steering angle detection value returns to a sensor median due to returning of the steering wheel.

Abstract: In one aspect, a computerized method provides an online social network, wherein online social network comprises a set of nodes, wherein each node represents a user and a set of relationships between each node. The computerized method identifies a set of users that are members of the same family. The computerized method identifies each node of the set of users that are members of the same family. When a member of the set of users interacts with another member of the set of users; the computerized method determines an interaction and determines a family-relationship status between the member and the other member; and scores the interaction. The computerized method generates a family bonding index based on the family relationship status of the member and the other member and the score the interaction. The computerized method updates the set of relationships of the social network based on the family bonding index.

Abstract: A method includes registering a given client device with a server to receive personalized routing for a given user, building a user model for the given user, the user model being based on personal attributes for a plurality of users including the given user, identifying patterns of personal attributes for the given user, generating a personalized route for the given user based on matching the patterns of personal attributes with one or more route attributes, identifying one or more personalized incentives for the given user based on the personal attributes of the given user and the route attributes, modifying the personalized route for the given user to generate an incentivized personalized route for the given user, and transmitting a notification from the server to the given client device over a network, wherein the notification causes the given client device to display the incentivized personalized route for the given user.

Abstract: In various implementations, routing factors are identified based on a routing request associated with a user, where the routing factors include route preferences of the user. Routes are generated based on the routing request. Preference weights are determined for the route preferences, where the preference weights correspond to machine learning models based on sensor data provided by one or more sensors in association with the user. Route scores are determined for the routes based on the preference weights. A suggested route is provided to a user device associated with the user, where the suggested route corresponds to a selected route of the routes and is provided based on the route score of the selected route.

Abstract: The subject disclosure is directed towards resolving an uncertain transportation context by suggesting one or more potential diversions. An automated routing system may generate routing information that includes map data as well as a location of a diversion having an expected cost in compliance with the uncertain transportation context. Such a diversion may be a waypoint that satisfies one or more user needs given an unknown/uncertain destination.

Abstract: A system includes a processor configured to receive vehicle information including at least location and fuel level. The processor is also configured to determine a current estimated time-of-arrival (ETA) to an event-associated destination based on travel time from the location. The processor is further configured to determine a fuel-level impact on the current ETA. Also, the processor is configured to provide a remote party update, including the current ETA, responsive to the current ETA deviating from a previous ETA by more than a threshold deviance.

Abstract: A method of predicting a destination of a user of a mobile device is described, together with a device for performing the same. The method comprises determining a location of the mobile device, and executing a route search algorithm with respect to a trip data-base. The trip database stores information indicative of a personal road network of a user of the mobile device, one or more road segments in the personal road network being associated with a respective destination location, and cost information associated with road segments in the personal network, the cost information being based, at least in part, on traversal information in the trip database.

Abstract: In a computing system, information regarding a plurality of events that use a computing device is obtained, and a time-dependant increase in activity for each of at least some of the events is identified. An observed interest by a user in an event is correlated with an identified increase in activity for the event. Information about the activity at a time related to the event is provided for review by the user.

Abstract: Generating user preference activity maps is disclosed, including: collecting a plurality of user activities recorded by a plurality of GPS recording devices; and aggregating the plurality of user activities to a base map to generate a user preference map.