Abstract: Systems and methods are provided for operating a vehicle using dynamic speed limits. A vehicle can monitor current road conditions by capturing real-time data that is indicative of a driving environment associated with a roadway being traversed by the vehicle. Using the captured real-time data, the vehicle can predict a dynamic speed limit, wherein the dynamic speed limit is a driving speed for the vehicle that is adapted for the monitored current road conditions. Additionally, the vehicle can automatically perform a driving operation for the vehicle in accordance with the dynamic speed limit, wherein the driving operation causes the vehicle to move at a driving speed that is approximately equal to the predicted dynamic speed limit.

Abstract: Systems and methods for detecting electromagnetic emissions to monitor and manage road traffic. In one implementation, a system is provided for determining at least one of location, speed, and direction of vehicles on a roadway. The system comprising at least one receiver configured for placement at one or more fixed locations along the roadway to detect a plurality of non-reflected electromagnetic emissions originating from a plurality of vehicles. The system further comprise at least one processor configured to receive signal information from the at least one receiver and to identify in the plurality of non-reflected electromagnetic emissions an electromagnetic waveform of a vehicle. The at least one processor may calculate at least one of a Doppler effect, a phase difference, or a time difference of non-reflected electromagnetic emissions associated with the identified electromagnetic waveform, and determine at least one of a location, speed, and direction of the vehicle.

Abstract: A system includes a plurality of tracking devices, such as RFID tags, affixed to items, such as vehicles, a data collection engine, client devices and backend devices. The backend devices include trained machine learning models, business logic, and attributes of a plurality of events. A plurality of data collection engines and systems send attributes of new events to the backend devices. The backend devices can track the items and predict particular outcomes of new events based upon the attributes of the new events utilizing the trained machine learning models.

Abstract: A method and an apparatus for outputting signal light information are provided. The method may include: acquiring guidance information and positioning information of a terminal, where the guidance information includes a turning information piece of a turning at a nearest intersection along a traveling direction of the terminal; acquiring information pieces of a signal light at the nearest intersection of the terminal; determining, in response to determining that the terminal satisfies a preset position condition based on the positioning information, from the signal light information pieces, a signal light information piece corresponding to the turning information piece in the guidance information, and using the signal light information piece as a target signal light information piece; and outputting the target signal light information piece.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: An approach is provided for automatically verifying a road closure report. The approach, for example, involves determining one or more features of probe data collected from a plurality of vehicles traveling on a connected set of road links of a closure link graph. The closure link graph, for instance, comprises a road link indicated by the road closure report, one or more upstream links from the road link, one or more downstream links from the road link, or a combination thereof. The approach also involves evaluating a closure probability of the road link indicated by the road closure report based on the one or more features. The road closure report is then automatically verified based on the closure probability.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimise the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.

Abstract: Presented are intelligent vehicle systems with networked on-body vehicle cameras with camera-view augmentation capabilities, methods for making/using such systems, and vehicles equipped with such systems. A method for operating a motor vehicle includes a system controller receiving, from a network of vehicle-mounted cameras, camera image data containing a target object from a perspective of one or more cameras. The controller analyzes the camera image to identify characteristics of the target object and classify these characteristics to a corresponding model collection set associated with the type of target object. The controller then identifies a 3D object model assigned to the model collection set associated with the target object type. A new “virtual” image is generated by replacing the target object with the 3D object model positioned in a new orientation. The controller commands a resident vehicle system to execute a control operation using the new image.

Abstract: A traffic management system for controlling an AGV includes a sensor arranged proximate to an intersection between first and second passages in a logistics facility. The sensor transmits sensing beams into the second passage to detect presence of a vehicle in the second passage. The sensor transmits sensor signals based on the presence of the vehicle in the second passage. The traffic management system includes a traffic controller receiving the sensor signals and communicating with the AGV causing the AGV to stop at a stopping location in the first passage and restrict movement of the AGV into the second passage when the object is detected.

Abstract: A method and system for assisting operation of an ego-vehicle in the traffic situation with shared traffic space is provided, in which a future path for the ego-vehicle and a future path for another traffic participant and a relevant path corridor for each determine future path is determined. Based thereon, an overlap of the path corridors to define a shared traffic space is determined and individual distance measures between the ego-vehicle and the shared traffic space and between the other traffic participant and the shared traffic space are calculated to determine an asymmetry. Based on the asymmetry an order is determined and (partially) automated in accordance with trajectory determined based on the order, or information on the intended passing order is provided to the ego-vehicle driver.

Abstract: A method for determining space allocation and signal timing of an isolated signalized intersection consists of at least one remote server and a processing module that is communicably coupled with the at least one remote server. A plurality of traffic-related data, wherein the plurality of traffic-related data reflects activity at the isolated signalized intersection, is received through the processing module. A space determination process is performed on the plurality of traffic-related data through the processing module. Next, a timing determination process is performed on the plurality of traffic-related data through the processing module in order to minimize the average intersection delay at the isolated signalized intersection. Based upon the results from the space determination process and the timing determination process a cycle length is determined for the isolated signalized intersection.

Abstract: An apparatus receives instances of probe data each comprising location data. The apparatus identifies instances of probe data corresponding to a first traversable map element (TME) of a current map version based on the location data and the current map version. The apparatus determines a current traffic measure for the first TME based on the probe data. The apparatus determines a historical traffic measure corresponding to a second TME of a previous map version that corresponds to the first TME of the current map version and a scaling factor for the first and second TMEs. The apparatus determines a scaled historical traffic measure by applying the scaling factor to the historical traffic measure and compares the current traffic measure and the scaled historical traffic measure. Responsive to determining that the comparison does not satisfy a similarity threshold requirement, the apparatus generates updated map/traffic data for the first TME.

Abstract: A vehicle management method includes calculating, based on a desired condition of each user sharing a ride on a vehicle, a first route for the vehicle to travel and a first required time for the vehicle to arrive at a destination on the first route, when a delay time with respect to the first required time exceeds a predetermined time while the vehicle is traveling along the first route, setting an alternative boarding location for a boarding location or an alternative deboarding location for a deboarding location based on the desired condition of each user, calculating a second route including the alternative boarding location or the alternative deboarding location and a second required time for the vehicle to arrive at a destination on the second route, and notifying the users of at least the alternative boarding location or the alternative deboarding location and the second required time.

Abstract: Example systems and methods allow for reporting and sharing of information reports relating to driving conditions within a fleet of autonomous vehicles. One example method includes receiving information reports relating to driving conditions from a plurality of autonomous vehicles within a fleet of autonomous vehicles. The method may also include receiving sensor data from a plurality of autonomous vehicles within the fleet of autonomous vehicles. The method may further include validating some of the information reports based at least in part on the sensor data. The method may additionally include combining validated information reports into a driving information map. The method may also include periodically filtering the driving information map to remove outdated information reports. The method may further include providing portions of the driving information map to autonomous vehicles within the fleet of autonomous vehicles.

Abstract: A method includes receiving sensor data associated with one or more inputs associated with a road portion, determining a level of risk associated with each of the one or more inputs, determining an estimated amount of computing resources that each of a plurality of candidate computing methods will consume, and selecting one or more computing methods from the plurality of candidate computing methods to associate with the one or more inputs based on the levels of risk associated with the one or more inputs and the estimated amount of computing resources that the candidate computing methods will consume.

Abstract: A lamp system for traffic lane indication using a navigation link may include a multi-function sensor sensing an environment and a line in front of a host vehicle, a line lamp generating and outputting a prediction line at a location corresponding to a line of a road, a navigation device providing location information of the host vehicle, and a vehicle controller predicting a forward line based on a line sensed by the multi-function sensor, and the location information of the host vehicle provided by the navigation device and controlling the line lamp to output the prediction line to follow the predicted forward line.

Abstract: In identifying vehicle navigation requirements using augmented reality, one vehicle determines that an event has occurred that concerns operation of the vehicle. The vehicle determines its current location, creates a notification message corresponding to navigation requirements matching the current location and the event, and sends the notification message. Another vehicle receives the notification message. In response, the other vehicle determines its current environment and a correlation between the navigation requirements and the current environment. An augmented reality system of the other vehicle displays alerts for the navigation requirements overlaid on a display of the current environment based on the correlation. I this manner, vehicle drivers are alerted to the navigation requirements applicable in particular locations or jurisdictions.

Abstract: A device that includes a sensor unit and a processing unit. The sensor unit is configured to detect at least one measured value at a predetermined point in time. The processing unit is configured to carry out a self-calibration of the device as a function of the detected measured value. A method for self-calibration of a device is also described.

Abstract: A system for facilitating communication in regard to a user in labor may include a first electronic device associated with the user, a set of second electronic devices associated with emergency contacts, and a server. The server may be configured to retrieve coordinates of a predetermined location, a current position of the user, and vehicle information corresponding to a vehicle in which the user is traveling to the predetermined location. The server may transmit a command to activate an electronic sign associated with the vehicle to indicate the labor status. The server may transmit a first notification including the vehicle information and an estimated time of arrival to the one or more second electronic devices. The server may determine whether the user is in an emergency state and output a second notification including information related to the emergency state to the one or more second electronic devices.

Abstract: A driving control method for vehicles includes: determining, by a controller, whether virtual guide lines need to be generated, based on a state of turn guide lines disposed at sides of a host vehicle when the host vehicle enters an intersection and drives while turning; and controlling, by the controller, the host vehicle to radiate optical guide lines on a road surface requiring generation of the virtual guide lines, using light, in response to determining that the virtual guide lines need to be generated.

Abstract: An approach is provided for providing probe anomaly detection. The approach, for example, involves determining an expected vehicle volume for a geographic region over a time epoch. The expected vehicle volume is calculated from historical vehicle volume data. The approach also involves determining an actual vehicle volume for the geographic region over the time epoch. The actual vehicle volume is based on current vehicle volume data collected from a plurality of vehicles traveling in the geographic region. The approach further involves computing a vehicle volume change based on the expected vehicle volume and the actual vehicle volume. The approach then involves providing the vehicle volume change as an indicator of a probe anomaly in the geographic region.

Abstract: Systems, methods, and computer program products to enhance the situational competency of a vehicle, when operating at least partially in an autonomous mode, and/or the safe operation of a vehicle, when operating at least partially in an autonomous mode. Such systems, methods, and computer program products are to facilitate operation of a vehicle, when operating at least partially in an autonomous mode, in a multi-lane roadway environment to coordinate a change of lane of the autonomous vehicle from a first lane in which the autonomous vehicle is currently operating and a target lane change area of a second lane. Such coordination is to dynamically take into consideration several operational safety factors within the driving environment, including the presence of one or more vehicles in a third lane adjacent to the target lane area of the second lane and the geometric roadway design.

Abstract: A vehicular driving assistance system is operable to control driving of a vehicle when operating in a driving assist mode. When the vehicular driving assistance system is not operating in the driving assist mode, a driver controls driving of the vehicle. The system identifies the driver and receives information pertaining to operation by the identified driver of the vehicle while the vehicle is driven by the identified driver. The system generates first and second personalized parameter sets for the identified driver when the driver drives the vehicle during respective first and second driving conditions. When the system is operating in the driving assist mode and the identified driver is present in the vehicle, and responsive to a current driving condition of the vehicle corresponding to one of the determined driving conditions, the system controls the vehicle in accordance with the respective generated personalized parameter set for that driving condition.

Abstract: An information providing device includes an external environment recognition unit that recognizes an external environmental situation of a movable body, an information providing control unit that provides a notification of recommended stopping information based on a current indication of traffic signals recognized by the external environment recognition unit, and a determination unit which determines, in the case that a first intersection and a second intersection are positioned in a travel direction of the movable body, whether or not a degree of proximity of the first intersection and the second intersection satisfies a predetermined condition. In the case it is determined by the determination unit that the predetermined condition is satisfied, the information providing control unit prevents the recommended stopping information based on a current indication of the traffic signal belonging to the second intersection from being provided.

Abstract: Aspects of the disclosure provide for controlling an autonomous vehicle to respond to queuing behaviors at pickup or drop-off locations. As an example, a request to pick up or drop off a passenger at a location may be received. The location may be determined to likely have a queue for picking up and dropping off passengers. Based on sensor data received from a perception system, whether a queue exists at the location may be determined. Once it is determined that a queue exists, it may be determined whether to join the queue to avoid inconveniencing other road users. Based on the determination to join the queue, the vehicle may be controlled to join the queue.

Abstract: Technologies for managing a world model of a monitored area includes a roadway server configured to receive LIDAR sensing data from a LIDAR sensing system positioned to monitor the monitored area and generate a world map of the monitored area based on the LIDAR sensing data. The world model includes data that identifies objects located in the monitored area. The roadway server may distribute the world model to automated vehicles traveling through the monitored area via a stream or in response to directed requests. The roadway server may also receive sensor data from the automated vehicles, which may be used to generate the world model. The roadway server may distribute the world model to other interested devices located in or near the monitored area.

Abstract: A system and method for assisting drivers of vehicles are described. The systems and methods provide an extended view of the area surrounding the driver's vehicle while providing real-time object trajectory for objects and other vehicles that may enter the driver's reactionary zone. The system and methods capture images of the area surrounding the driver's vehicle and create a composite image of that area in real-time and using Augmented Reality (AR) create a 3-D overlay to warn the driver as objects or other vehicles enter the driver's reactionary zone so that a driver can make more informed driving decisions.

Abstract: When a subject vehicle performs first autonomous lane change control from a subject vehicle lane to an adjacent lane and then consecutively perform autonomous lane change control to a next adjacent lane in the same direction of lane change, lateral speed to perform second and subsequent autonomous lane change control is set slower than lateral speed to perform the first autonomous lane change control. Thus, the second and subsequent autonomous lane change control to the adjacent lane in the same direction of lane change is performed more slowly than the previously performed autonomous lane change control. Time used for confirming surrounding situations is lengthened, and the surrounding situations can be properly confirmed prior to the lane change.

Abstract: Embodiments of the present disclosure provide a navigation method, device and system for a cross intersection. The method includes: receiving a message transmitted from a vehicle controller, where the message indicates a request of a vehicle for passing an intersection; and determining whether to allow the vehicle to pass the intersection based on an occupancy condition of the intersection and transmitting an action instruction to the vehicle controller to cause the vehicle controller to control movement of the vehicle.

Abstract: Embodiments of this application provide a target road segment speed prediction method, apparatus, a server, and a non-transitory computer-readable medium. In the method, a first moving speed on a target road segment at a first time point is obtained. A plurality of second moving speeds on the target road segment at each of a plurality of time points before the first time point is obtained. A mean historical speed on the target road segment at the first time point during previous time cycles is obtained. A speed prediction feature of the target road segment at a second time point is determined. A moving speed on the target road segment at the second time point is predicted according to the speed prediction feature of the target road segment at the second time point and a pre-trained road segment speed prediction model.

Abstract: A method for transmitting a V2X message by means of a V2X communication device is disclosed. A V2X communication method can comprise the steps of: receiving a platooning information message from an external V2X communication device; determining, on the basis of information comprised in the platooning information message, whether or not the concatenation with a platooning group is to be formed; if it is determined that the concatenation is to be formed, transmitting a concatenation request message for requesting the concatenation to the external V2X device; receiving from the external V2X device a concatenation response message which is a response message to the concatenation request message; and forming the concatenation with the platooning group. The platooning information message can comprise information relating to a platooning group to which a vehicle having an external V2X communication device belongs.

Abstract: The present invention provides a device for collecting photos of a field surface feature and an information measurement and calculation method. The photo collection device includes a motion camera, a pan-tilt, and a movable carrier. The motion camera is fixed to the movable carrier by using the pan-tilt, and when the movable carrier is in a driving process, the motion camera regularly takes a clear and measurable surface feature photo, to obtain a set of continuous surface feature photos with geographical coordinates. The device for collecting photos in the present invention is portable, is easily assembled, and can stably and continuously take clear and measurable photos, to resolve a problem that a photo taken in a high-speed motion state is fuzzy. The device can be applied to remote sensing of large-scale field research.

Abstract: A travel assistance method for a vehicle, executed by the processor, comprising: detecting a road structure including a merging point where a merging lane and a merged lane merge, detecting a state of another vehicle traveling toward a merging point, setting, based on the road structure, a merging position relative to a traveling vehicle (other vehicle) traveling in the merged lane and a determination criterion for determining whether or not merging is possible at the merging position, and determining whether or not merging is possible based on the state of the subject vehicle, the state of the other vehicle and the determination criterion.

Abstract: Provided are a traffic status estimation device and the like with which it is possible to estimate the traffic status with high precision even in a situation in which there are few sections with sensors installed therein and the vehicle travel history is inadequate. This traffic status estimation device includes: a traffic status estimation unit that estimates the traffic status in sections in which sensors are not installed on the basis of the similarity of the traffic status among sets comprising a plurality of time bands and a plurality of sections that include sections in which sensors are installed and sections in which sensors are not installed, and on the basis of the traffic status in the sections in which sensors are installed; and an output unit that outputs the traffic status estimated by the traffic status estimation unit.

Abstract: Systems and methods to understand the roadways (roads, highways, etc.) where customers are experiencing network congestion and the time of day when customer experience is degraded are disclosed. The method receives and aggregates data from a variety of sources, including customer data (e.g., speed, experience throughputs, reported coverage, etc.), network data (site coverage—RSRP/RSRQ, site capacity—users and bandwidth), maps/traffic data (speed limit), etc. to measure both vehicular congestion and network congestion on roadways. Ultimately, the method can generate an enhanced map that merges vehicular traffic congestion and network traffic congestion to present feature-added routes to a user. A user can then use the enhanced map to better plan their trip to ensure maximum network coverage during their trip.

Abstract: An in-vehicle device for controlling a host vehicle to pass through one or more intersections. The in-vehicle device includes a controller configured to obtain information of an intersection through which one or more vehicles including the host vehicle will pass; identify any of the vehicles that will pass through a same intersection as the intersection through which the host vehicle will pass based on the obtained information; determine a priority level of the host vehicle based on an order of the distances between the intersection and the vehicles sharing the right-of-way of the intersection; judge whether the distance between the host vehicle and the intersection is shorter than or equal to a distance threshold; if that the judgment is positive, the priority level of the host vehicle is enabled; if the judgment is negative, the priority level of the host vehicle is disabled.

Abstract: Methods, systems, computer-readable media, and apparatuses for vehicle emergency vehicle-to-anything (V2X) notification based on sensor fusion are presented. In some embodiments, a vehicle may receive an indication of an issue or impairment of the vehicle or an occupant of the vehicle, including the driver. Using information from sensors within the vehicle, an on-board processor may determine the nature of the impairment. Information about the nature of the impairment may then be transmitted, using V2X notification, to neighboring vehicles and/or an infrastructure entity (e.g., a base station, a roadside unit, a radio tower, and/or a central application server). The neighboring vehicles may then negotiate using V2X communication with the impaired vehicle and the other neighboring vehicles and/or be directed by the infrastructure entity to proceed using a negotiated course of action that accounts for the nature of the impairment in the impaired vehicle.

Abstract: Methods, systems, and apparatus for an event navigation system. The event navigation system includes a sensor configured to monitor traffic flow within a first structure. The event navigation system includes a memory configured to store a map of the first structure. The event navigation system includes a processor coupled to the sensor and the memory. The processor is configured to obtain a current location of a user and a destination location for the user. The processor is configured to determine a route from the current location to the destination location based on the map of the first structure, the current location, the destination location and the traffic flow within the first structure. The processor is configured to provide the route to the user.

Abstract: The present invention relates to a method of identifying a brand and a model of a vehicle. The method comprises obtaining one or more video frames. Further, the method comprises detecting one of presence or absence of text in the at least one vehicle. Upon detecting the presence of the text, the method comprises determining at least one of the brand and the model of the at least one vehicle by accumulating the text recognized in the one or more video frames. Further, identifying at least one of the brand and the model of the at least one vehicle based on an accumulated text. Upon detecting the absence of the text, the method comprises determining the brand of the at least one vehicle based on logo associated with the vehicle.

Abstract: Systems and methods are disclosed for determining a navigation route based on the location of a vehicle and generating a recommendation for a vehicle maneuver. The method may comprise determining, based on sensor data received from a location sensor of a mobile device or a vehicle, a location of the vehicle. A computing device may determine a navigation route for navigating the vehicle from the location to a destination, and the navigation route may comprise a plurality of intersections. The computing device may determine a plurality of potential maneuvers at a first intersection of the plurality of intersections. The computing device may also determine, based on one or more factors, a navigation score for each of the plurality of potential maneuvers at the first intersection. Based on the navigation score for each of the plurality of potential maneuvers, the computing device may select a maneuver from the plurality of potential maneuvers to recommend for the vehicle.

Abstract: The invention is applicable for use in conjunction with a system that includes connected vehicle communications in which vehicles in the system each have an onboard processor subsystem and associated sensors, the processor subsystem controlling the generation, transmission, and receiving of messages communicated between vehicles for purposes including crash avoidance. A method is set forth for determining, by a given vehicle receiving messages, the occurrence of misbehavior, including the following steps: processing received messages by performing a plurality of plausibility determinations to obtain a respective number of plausibility measurements; determining at least one context for the region at which the given vehicle is located; weighting the plurality of plausibility measurements in accordance with values determined from the at least one context to obtain a respective plurality of plausibility indicator values; and deriving a misbehavior confidence indicator using the plausibility indicator values.

Abstract: A surrounding vehicle display device includes: a surrounding information detection device that obtains information on surroundings of a host vehicle; a virtual image generation unit that uses the information obtained by the surrounding information detection device to generate a virtual image that indicates the surroundings of the host vehicle as being viewed from above the host vehicle; and a controller that starts examination of whether to perform the auto lane change before performing the auto lane change. The controller starts the examination of whether to perform the auto lane change before performing the auto lane change and then makes a display region of the surroundings of the host vehicle on the virtual image wider than a display region before the examination is started.

Abstract: One or more lane level dynamic profiles are received. Each lane level dynamic profile comprises at least one dynamic parameter corresponding to a lane of a traversable network. A lane level network graph is received for at least a portion of the traversable network. A cost is assigned to the lane based on the at least one dynamic parameter corresponding to the lane. A routing or navigation function is performed using the cost assigned to the lane and the lane level network graph to generate routing information. The routing information is provided such that a mobile apparatus receives the routing information.

Abstract: A content sharing server provides a vehicle content sharing service and a method thereof. The content sharing server for providing a vehicle content sharing service includes a communication device that receives content sharing information including vehicle identification information, content information reproducible in a vehicle, and driving information from at least one content receiving vehicle. The content sharing server further includes a content sharing controller that stores the content sharing information, searches for a plurality of content providing vehicles that store content to be reproduced in the at least one content receiving vehicle, divides the content based on the plurality of content providing vehicles, and downloads, to the at least one content receiving vehicle, the divided content uploaded from the plurality of content providing vehicles in order of preset priority.

Abstract: Embodiments generally relate to determining traffic congestion patterns. In some embodiments, a method includes identifying congestion events for each road of a plurality of roads in a road network, where each congestion event indicates a drop in average vehicle speed below a predetermined speed threshold for a particular road in the road network, and where the congestion events span a predetermined time period. The method further includes determining local clusters of the congestion events based on one or more road condition parameters, where each local cluster defines a local congestion pattern for a particular road of the plurality of roads in the road network. The method further includes grouping the local clusters into one or more global clusters based on the one or more road condition parameters, where the global clusters define global congestion patterns in the road network.

Abstract: The present disclosure relates to a driving data analyzing apparatus and method, and a vehicle system. The driving data analyzing apparatus according to an exemplary embodiment of the present disclosure includes a database (DB) storing a data matrix for each of a plurality of sections predetermined on a road of a map, a controller storing driving data received from vehicles passing through each of the plurality of sections in a data matrix of a corresponding section. The controller is configured to analyze a driving abnormality state of a vehicle passing through the corresponding section based on a mean value of the driving data stored in the data matrix of the corresponding section.

Abstract: An approach is provided for node-based map matching. The approach involves processing probe data to sort a plurality of probe points according to sessions keys. The approach also involves selecting a subset of the plurality of probe points within a threshold distance of a node of a map representation of a transportation network. The approach further involves initiating a map matching of the probe points of each session key to the map representation by, for said each session key: (1) determining a closest probe point to the node; (2) determining another closest probe point to a neighboring node, wherein the neighboring node is connected to the node by at least one link; and (3) projecting the plurality of probe points between the closest probe point to the node and the another closest probe point to the neighboring node onto the link.