Abstract: A supervisory control system is disclosed that provides an operator situational awareness interface use with monitoring a plurality of automated vehicles (AVs). The system is configured to: generate a map of a geographical area of interest; obtain location data and perceived risk data for a plurality of AVs in the geographical area; generate a vehicle icon corresponding to each AV; position the vehicle icon for each AV on the map based on the location data for a corresponding AV; apply a color coding to each vehicle icon based on a perceived risk level for a corresponding AV; and signal a display device to display an AV fleet map graphic that includes the color coded vehicle icons positioned on the map. The controller may be further configured to: generate an AV servicing queue graphic that displays vehicle icons in an order based on a determined servicing priority.

Abstract: A computing system, including a processor configured to, at development time, receive a machine learning model topology including a plurality of layers. The processor may be further configured to generate an internal representation graph of the machine learning model topology. The internal representation graph may include a plurality of internal representation layers. By performing one or more modifications to the internal representation graph, the processor may be further configured to generate an inferencer graph including a plurality of inferencer layer blocks. Each inferencer layer block may indicate an input buffer size, a logic function, and an output buffer size. At deployment time, the processor may be further configured to transmit, to a plurality of processing devices, instructions to implement the machine learning model topology with the respective input buffer sizes, logic functions, and output buffer sizes selected for the plurality of inferencer layer blocks of the inferencer graph.

Abstract: A worksite management system may include a worksite controller including one or more worksite controller processors configured to receive a signal indicative of a task to be performed by a machine at a worksite, identify a machine for performing the task, and generate a signal indicative of the machine. The worksite management system may also include a mobile device including one or more mobile device processors configured to receive the signal indicative of the machine, display an image representative of the machine, and display a prompt for a person at the worksite to validate availability of the machine to perform the task.

Abstract: A device and a method for planning of maintenance work on a machine. Based on sensor data S, input data E are generated. The input data E are compared with model sensor data of different model data pattern and are checked regarding conformity. Each model data pattern is assigned a maintenance model in the model database. If a conformity of input data E with model sensor data M of a model data pattern has been determined, the assigned maintenance model can be selected for a maintenance of the machine. The maintenance model comprises at least one maintenance step and the resource required for it to be carried out. Subsequently, the availability of the required resource is checked and the resource is requested, if available. By such a device or method, a predicted maintenance can be performed based on empirical knowledge contained in the maintenance models of model database.

Abstract: Methods and systems are provided for increasing an accuracy of anomaly detection in assets such as vehicle components. In one example, a method provides for continuous health monitoring of connected physical assets, comprising adapting thresholds for anomaly detection and root cause analysis algorithms for the connected assets based on an aggregation of new connected data using machine learning; updating and ranking advanced statistical and machine learning models based on their performance using connected data until confirming a best performing model; and deploying the best performing model to monitor the connected physical assets.

Abstract: In a control device for a vehicle, the vehicle is configured to charge an electric power storage device with an electric power supplied from a charger. The control device includes an input and output circuit and a control circuit. The input and output circuit is configured to input predetermined signal and output the predetermined signal. The control circuit is configured to prepare for charging of the electric power storage device by controlling transmission and reception of signals through the input and output circuit according to a predefined communication sequence. The control circuit is configured to proceed with the predefined communication sequence by transmitting the second signal to the charger even when the vehicle does not receive the first signal at the predetermined timing.

Abstract: A vehicle monitoring apparatus includes: a first communicator that receives specifying information for specifying a target vehicle from a server; and an acquirer that acquires driving information from the target vehicle, the driving information being information regarding driving of the target vehicle specified by the specifying information received by the first communicator. The first communicator transmits the driving information acquired by the acquirer to the server. For example, the acquirer may acquire the driving information obtained from the target vehicle through communication.

Abstract: A method for instructing users of car-sharing services to operate a shared vehicle includes identifying a user of a selected vehicle, determining a customary vehicle of the user based on the identification, determining differences between the selected vehicle and the customary vehicle, and informing the user of the determined differences.

Abstract: An information collection system corrects vehicle state information of each of a plurality of vehicles. Identification information and the vehicle state information is transmitted by a first transmitter, the identification information being information based on which a target vehicle is specified from among the vehicles. Disclosure position information and the identification information are transmitted by a second transmitter, the disclosure position information being set as position information on the target vehicle based on (i) alternative position information indicating a position of the target vehicle in an alternative manner and (ii) disclosure information indicating a disclosure range to disclose the alternative position information.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for the real time generation and transformation of raw telematics big data into analytical telematics big data that includes raw telematics big data and supplemental data.

Abstract: This on-vehicle data management device includes: a data collection section configured to collect data that is obtained by a first apparatus of a vehicle and that is recorded in a record region provided in the first apparatus; an information obtaining section configured to obtain information related to travel of the vehicle from a second apparatus of the vehicle, the second apparatus being different from the first apparatus; and a storage processing section configured to store target data collected by the data collection section in association with the information related to travel of the vehicle obtained by the information obtaining section.

Abstract: In an abnormal noise evaluation system, running noise of a vehicle is acquired, and the running noise is analyzed to generate analysis data. A rotational order component of the running noise of the vehicle is then extracted from the analysis data, and features for each rotational order of the running noise of the vehicle is generated based on the extracted rotational order component. Subsequently, a learning model is generated using as training data a combination of the features for each rotational order generated for a learning object that is of the same type as an object to be evaluated and an evaluation result given in advance to the learning object. Whether there is abnormal noise from the object to be evaluated is evaluated by applying the features for each rotational order generated for the object to be evaluated to the learning model, and an evaluation result is output.

Abstract: Method and system for determining a status of a mobile device of a user are disclosed. For example, the method includes receiving first sensor data at a first time from an application installed on a mobile device of a user, determining a first location of the mobile device, immediately subsequent to receiving the first sensor data at the first time, receiving second sensor data at a second time from the application, the second time following the first time by a time interval, determining a second location of the mobile device, determining a distance between the first location and the second location, determining whether the distance corresponding to the time interval exceeds a predetermined threshold, and determining whether a trip log indicative of at least one trip during the time interval is received from the application.

Abstract: A system and method for contextually monitoring vehicle states. The method includes enriching a plurality of messages based on at least one missing property value and a plurality of predictive properties in the plurality of messages, wherein at least one message of the plurality of messages is generated by a vehicle monitoring system, wherein each message of the plurality of messages is ingested at a vehicle state monitor, wherein each of the predictive properties is a property indicated in one of the plurality of messages of a predetermined type of property; and generating a contextual vehicle state for a vehicle based on the enriched plurality of messages, wherein the contextual vehicle state is a snapshot of a plurality of vehicle state properties at a given time.

Abstract: Techniques for providing a user interface for remote vehicle monitoring and/or control include presenting a digital representation of an environment and a vehicle as it traverses the environment on a first portion of a display and presenting on a second portion of the display a communication interface that is configured to provide communication with multiple people. The communication interface may enable communications between a remote operator and any number of occupants of the vehicle, other operators (e.g., other remote operators or in-vehicle operators), and/or people in an environment around the vehicle. The user interface may additionally include controls to adjust components of the vehicle, and the controls may be presented on a third portion of the display. Furthermore, the user interface may include a vehicle status interface that provides information associated with a current state of the vehicle.

Abstract: Systems and methods for determining the effectiveness of vehicle safety features are provided. Vehicle build information (VBI) for vehicles manufactured by a plurality of OEMs may be obtained. The VBI may contain OEM-specific terminology for smart safety features associated with each vehicle. The obtained VBI may be analyzed to generate an ontology model mapping each feature to any OEM-specific terminology associated with the feature. The ontology model may be applied to the VBI to generate translated VBI for each vehicle, such that the OEM-specific terminology associated with each feature is replaced with OEM-agnostic terminology for the feature. Vehicle accident record information may be obtained for each vehicle, including, e.g., the number, frequency, severity, etc. of accidents associated with each vehicle.

Abstract: An example operation includes one or more of determining an issue related to a stationary transport, determining a cause of the issue, determining moving transports that do not have the issue, but exhibit characteristics similar to the cause, and based on the characteristics, notifying the moving transports of a potential of the issue.

Abstract: A train control method is provided for a vehicle on-board controller (VOBC) configured on one end of a train. The method includes: performing a train awakening process; acquiring a running plan sent by an automatic train supervision (ATS) system after the train is successfully awakened; setting, according to a direction indicated by the running plan, a running direction of the train to be downward or upward; when the running direction is set to downward, using, as a head for train positioning, one end of the train not configured with the VOBC, to acquire positioning information of the train; when the running direction is set to upward, using, as the head for train positioning, one end of the train configured with the VOBC, to acquire the positioning information of the train; and controlling, according to the positioning information of the train, the train to pull out of a parking garage.

Abstract: An object of the present invention is to reduce an error between an actual machine and a simulation by removing the influence of overlearning of an adjustment by a mathematically-described function, and to optimize automatic operation control of the machine. An automatic operation control system for controlling an automatic operation of a machine sets a first model showing a relation between a control signal string input to the machine on the basis of a mathematically-described function and data output from the machine controlled in accordance with the control signal string. In a learning process including learning the automatic operation control of the machine, the system executes learning using the first model until a first condition is satisfied.

Abstract: A method for asset maintenance includes determining a location of an asset, receiving meteorological data corresponding to the location, determining forecasted meteorological conditions for the asset from the meteorological data, determining a forecasted probability of degradation or failure of the asset based, at least in part, on the forecasted meteorological conditions, and dispatching asset maintenance services for the asset responsive to determining that the forecasted probability of degradation or failure of the asset is above a selected threshold. The method may also include collecting sensor data corresponding to the asset, and determining the forecasted probability of degradation or failure of the asset based, at least in part, on the forecasted meteorological conditions and the sensor data. A corresponding apparatus, computer program product, and computer system are also disclosed herein.

Abstract: Systems and methods are provided for automating the process of determining non-reusable parts associated with replacement or repair of a primary part of a vehicle involved in a collision event. The primary parts to be repaired may be indicated in repair estimate record. Notably, replacement of some primary parts may require replacement of certain non-reusable parts (NRPs) that were not damaged during the collision event and are not identified as such. The method determines which NRPs are required to be replaced when repairing the primary damaged part by using repair documents specifying repair instructions for repairing the primary part. Further, the repair estimate record is updated to include the information related to the primary pars and their associated NRPs.

Abstract: According to various embodiments, a fleet management system is provided for capturing, storing, and analyzing telematics data to improve fleet management operations. The fleet management system may be used, for example, by a shipping entity (e.g., a common carrier) to capture telematics data from a plurality of vehicle sensors located on various delivery vehicles and to analyze the captured telematics data. In particular, various embodiments of the fleet management system are configured to analyze engine idle data in relation to other telematics data in order to identify inefficiencies, safety hazards, and theft hazards in a driver's delivery process. The fleet management system may also be configured to assess various aspects of vehicle performance, such as vehicle travel delays and vehicle speeds.

Abstract: A method, comprising: receiving position data from a mobile device; incrementing a counter variable, said counter variable associated with a predefined geographic area that includes a position of the position data, and initializing a time variable, said time variable set to a predefined value and decremented continuously; and decrementing said counter variable in response to expiration of said time variable.

Abstract: A method and system for processing requests for vehicular data, including receiving a vehicle request for a vehicle parameter from a client system (e.g., third party application); verifying client access to the vehicle parameter; determining one or more parameter values for the requested vehicle parameter; and transmitting the one or more parameter values to the client system.

Abstract: A vehicle failure-factor specifying apparatus includes (a) a peculiarity-presence determining portion configured to determine, based on a pre-failure driving state in a stage prior to occurrence of a certain failure in a vehicle, whether a peculiarity was present or absent in the pre-failure driving state, and (b) a failure-causing-driving state specifying portion configured, when the peculiarity was present in the pre-failure driving state, to determine whether the peculiarity present in the pre-failure driving state of the vehicle is substantially identical with a peculiarity in the pre-failure driving state of other vehicles.

Abstract: A system for replacing an original hose assembly of a work machine with a replacement hose assembly includes at least a computing device, a database, and a server. The server is associated with the database and includes a processor configured via computer-executable instructions to perform a method of identifying the replacement hose assembly. The method includes prompting a user to select hose attributes associated with a hose of the original hose assembly. Based on the selected hose attributes, a replacement hose may be identified. The method further includes prompting the user to select coupling attributes associated with a coupling of the original hose assembly. Based on compatibility with the identified replacement hose and the selected coupling attributes, a replacement coupling may be identified. The method further includes generating a bill of materials for the replacement hose assembly and displaying the bill of materials.

Abstract: The vehicle electronic control apparatus includes two or more FPGAs that each receive information from the sensor, a nonvolatile memory that holds a bit stream for determining a configuration for the FPGA, an MCU that incorporates two or more nonvolatile memories, in each of which a program code for calculating the control command is installed, and an error control module that outputs an error signal to the outside at a time when an abnormality occurs in at least one of the FPGA and the nonvolatile memory incorporated in the MCU; the nonvolatile memory that holds the bit stream and the nonvolatile memory incorporated in the MCU can be accessed from the outside.

Abstract: An exemplary method for processing a corresponding service based on an event detected at a physical device using a blockchain includes receiving an event model identifier and data of an event, wherein the event model identifier indicates an event model for describing the event, and the data comprises one or more parameters in the event model; determining a contract identifier associated with the event model identifier based on a predetermined relationship between the event model identifier and the contract identifier; identifying a smart contract in a blockchain network based on the contract identifier; and sending a request that invokes the smart contract to a first node in the blockchain network based on the contract identifier and that causes each node in the blockchain network to invoke the smart contract based on the data to perform service processing logic corresponding to the smart contract.

Abstract: A system and method for strategic track and maintenance planning (STAMP) that can provide an organizational and adaptive infrastructure configured to facilitate railroad asset management and capital planning is presented. The system can provide a railroad asset inspector with relevant data for an assigned inspection segment. Location-based functionality can acquire a device's precise location and provide only the data necessary for the inspection of a particular railroad asset by providing step-by-step input prompting based upon the device location. The system provides adaptive thresholding of asset-related criteria to determine whether and when asset maintenance should occur. The system can acquire inspection data for one or more railroad assets, apply a data optimization algorithm to the inspection data, analyze railroad asset-related data (including historical data), and generate an optimized capital plan with a schedule for railroad asset maintenance and replacement.

Abstract: An energy consumption predicting device includes: an acquisition unit acquiring a parameter correlated with at least one of a vehicle speed when a vehicle traveled on a route from a first point to a second point on which a vehicle traveling using only a power source consuming an energy source supplied from outside of the vehicle and stored therein is able to travel, a different vehicle speed when a different vehicle traveled on the route, an output of the power source when the vehicle traveled on the route, and an output of a different power source when the different vehicle traveling using only the same type of different power source as the power source traveled on the route; and a calculation unit calculating a predicted consumption of the energy source which is predicted when the vehicle travels on the route from the first point to the second point.

Abstract: A method and system of providing customizable service for an asset. The method including generating a predictive model for each asset of a fleet, each predictive model based on an operational profile for the asset and including a probability density function associated with the operational durability of the asset, establishing a maintenance strategy associated with the asset, and combining each of the predictive models to generate a compound fleet performance model, the fleet performance model including a combined probability density function. The method also includes collecting actual asset performance and maintenance data to generate actual asset metrics, determining a fleet performance profile based on the actual asset metrics indicative of a health assessment of the fleet, comparing the predicted fleet performance with the actual fleet performance, and ascertaining actionable choices for managing the assets based on a deviation of the predicted and actual fleet performance.

Abstract: A computer-implemented method includes receiving a vehicle condition query via a computer network and retrieving condition data corresponding to a vehicle from a vehicle condition database. Further, the method includes determining a condition of the vehicle based on a collective analysis of the condition data, where the condition of the vehicle includes a market value of the vehicle and an overall quality level of the vehicle, and receiving a geographic location of a computing device. Still further, the method includes generating a vehicle condition report, where the vehicle condition report includes an interactive image of a first set of one or more visual condition descriptors indicative of the condition of the vehicle. Moreover, the method includes customizing the vehicle condition report according to the climate associated with the geographic location for the computing device, and communicating the vehicle condition report to the second computing device.

Abstract: The present disclosure is generally related to systems and methods for determining an actionable event associated with a vehicle. The systems and methods can determine the event based on vehicle diagnostic data, and can report the event to a user via an appropriate interface. The systems and methods can also determine a recommended action to address the event, and can facilitate completion of the action upon approval by the user.

Abstract: Methods and systems for identifying manufacturer-specific controller-area (CAN) data for a vehicle type are provided. Manufacturer-specific CAN data may be identified by processing defined CAN data having a correlation relationship with the target data and undefined manufacturer-specific CAN data for determining if there is a correlation relationship therebetween. Also provided are methods and systems for identifying and automatically collecting manufacturer-specific CAN data for a vehicle type.

Abstract: Methods and systems for identifying manufacturer-specific controller-area (CAN) data for a vehicle type are provided. Manufacturer-specific CAN data may be identified by processing defined CAN data having a correlation relationship with the target data and undefined manufacturer-specific CAN data for determining if there is a correlation relationship therebetween. Also provided are methods and systems for identifying and automatically collecting manufacturer-specific CAN data for a vehicle type.

Abstract: Methods and systems for identifying manufacturer-specific controller-area (CAN) data for a vehicle type are provided. Manufacturer-specific CAN data may be identified by processing defined CAN data having a correlation relationship with the target data and undefined manufacturer-specific CAN data for determining if there is a correlation relationship therebetween. Also provided are methods and systems for identifying and automatically collecting manufacturer-specific CAN data for a vehicle type.

Abstract: Systems, computer-implemented methods and/or computer program products that facilitate selecting components for aviation engines. In one embodiment, a computer-implemented method comprises: calculating, by a system operatively coupled to a processor, standard deviation between components for aviation engines based on a statistical distribution of measured manufacturing characteristics; selecting, by the system, a subset of components based on the calculated standard deviation; and analyzing, by the system, the subset of components at respective standard deviation to determine a standard deviation and period of time for trading that maximizes durability performance.

Abstract: Apparatus, device, methods and system relating to a vehicular telemetry environment for monitoring vehicle components and providing indications towards the effective remaining life condition of the vehicle components and providing optimal indications towards replacement or maintenance of vehicle components before vehicle component failure are disclosed.

Abstract: A method and system for virtually detecting and modifying technical issues is provided. The method includes enabling virtual software of a hardware controller with respect to a software layer of a fifth generation (5G) telecom communication network. A signal is enabled by a 5G apparatus and a handshaking processes between the hardware controller and the 5G apparatus is executed. In response, metadata structures are parsed and classified. Technical issues associated with hardware and software of devices connected to the 5G telecom communication network are identified and the virtual software is modified for managing and repairing the technical issues. Self-learning software code for executing future processes associated with executing virtual detection and issue modification is generated.

Abstract: The present disclosure is applicable to the technical field of vehicle diagnosis, and provides a vehicle diagnostic method, a vehicle diagnostic system, and a vehicle diagnostic device. The vehicle diagnostic method comprises: determining a standard range of vehicle fault diagnosis; reading a current data stream of a vehicle in real time when a vehicle diagnosis instruction is received, and determining whether values of the current data stream are within a standard range; and outputting prompt information indicative of normal vehicle operation if the values of the current data stream are within the standard range; or outputting corresponding vehicle fault alarm information if the values of the current data stream are beyond the standard range. This present disclosure can improve an accuracy of vehicle fault diagnosis.

Abstract: A method including determining a status of a power supply of a first telematics control unit (TCU) as one of active or inactive, the first TCU programmed to communicate with a server via a network, determining a status of a second TCU in communication with the first TCU via a vehicle network, the second TCU is programmed to communicate with the server via the network, and determining a risk condition based on the statuses of the power supply and the second TCU. The risk condition is a measure of severity of an inactive status.

Abstract: A system includes a processor configured to provide an informational report to a wireless device about a vehicle component associated with a BLUETOOTH low energy (BTLE) chip, affixed to a vehicle, when the wireless device is determined to be within a predefined proximity to the BTLE chip. This can include information such as operational and wear status, but also can be purely explanatory, as to what the function of the component is.

Abstract: A fault diagnostic system includes: memory including a fault model, the fault model including: a plurality of failure modes of a vehicle; and symptoms respectively associated with each of the failure modes; an updating module configured to: based on a data set, determine a new failure mode that is not already included in the fault model and new symptoms indicative of the occurrence of the new failure mode; modify the fault model by: adding the new failure mode to the fault model; and adding the new symptoms to the fault model in association with the new failure mode; and re-save the fault model in the memory.

Abstract: A process of evaluating and reducing outages in a power plant comprises acquiring analytical data for a power plant and its components, acquiring failure modes regarding power plants, identifying and categorizing the acquired failure modes in association with the components of the power plant at various levels, evaluating and ranking the significance of each of the identified failure modes based on the analytical data, evaluating and ranking the analytical coverages of the identified failure modes based on the analytical data, and ranking and evaluating the components based on the significance and the analytical coverages of their associated failure modes. Based upon the determined significance and analytical coverages of identified failure modes, a power plant owner is able to evaluate the performance of a power plant at various levels, identify analytical gaps in reducing outages of the power plant, and enhance the performance of the power plant.

Abstract: A method for monitoring vehicle motion using a mobile device associated with a user including collecting activity data at a mobile device associated with the user; determining a user activity state based on the activity data; determining motion data collection parameters associated with an operating state of the mobile device, based on the user activity state; and collecting motion data at the mobile device based on the motion data collection parameters.

Abstract: Some systems include an illuminator configured to illuminate a scene, a detector configured to receive electromagnetic radiation from the scene, one or more retroreflective tags, and an image processor. Each of the one or more retroreflective tags is attached to or positioned near a corresponding target and is configured to reflect electromagnetic radiation from the illuminator toward the detector. The image processor can identify electromagnetic radiation reflected by one or more retroreflective tags to determine the presence of one or more retroreflective tags and corresponding targets in the scene. Retroreflective tags can include retroreflective portions and non-retroreflective portions such that, when electromagnetic radiation is incident upon the retroreflective tag, the retroreflective tag reflects the electromagnetic radiation in a pattern that corresponds to a code uniquely corresponding to the target.

Abstract: Systems and methods for determining and indicating an energy range of a host vehicle. A sensor can be positioned to acquire data corresponding to an amount of energy stored in an energy storage system of the host vehicle. An anticipated operating condition for a forthcoming location of the host vehicle can be determined based on at least one operating condition provided from at least one of a plurality of vehicles that 1) has a vehicle type that is the same as a vehicle type of the host vehicle and 2) is located at a respective location that is proximate to the forthcoming location of the host vehicle. The remaining energy range can be determined based on 1) the amount of energy stored in the energy storage system and 2) the anticipated operating condition, and an output system of the host vehicle can indicate the remaining energy range for the host vehicle.

Abstract: An expedited preflight readiness system for aircraft includes a power source having one or more battery modules for storing electrical power. An integrated controller is electrically and communicatively coupled with the power source for monitoring and controlling the power source to provide electrical power to aircraft subsystems. A mobile device is communicatively coupled with the integrated controller for communicating instructions to the integrated controller for initiating preflight readiness of the aircraft and for monitoring preflight readiness. A method for preconditioning an aircraft includes determining a state-of-charge of an APU and activating an environmental control subsystem for preconditioning the aircraft by adjusting a current temperature according to a preconditioning profile based on one or more of a target temperature, a target time, the current temperature, an outside air temperature, an amount of energy, and a state-of-charge of the APU.

Abstract: In one exemplary embodiment, a method of providing safety assistance on a test ride of a vehicle includes opening a locking device to provide access to a vehicle access component. A safety protocol is initiated with a computerized device. The vehicle is operated with the vehicle access component. A gesture is performed with the computerized device to summon assistance.

Abstract: This on-vehicle data management device includes: a data collection section configured to collect data that is obtained by a first apparatus of a vehicle and that is recorded in a record region provided in the first apparatus; an information obtaining section configured to obtain information related to travel of the vehicle from a second apparatus of the vehicle, the second apparatus being different from the first apparatus; and a storage processing section configured to store target data collected by the data collection section in association with the information related to travel of the vehicle obtained by the information obtaining section.