Abstract: A method for updating one or more properties of one or more transportation system digital twins includes receiving a request to update the one or more transportation system digital twins; retrieving the one or more transportation system digital twins to fulfill the request from a digital twin datastore; and retrieving one or more dynamic models to fulfill the request from a dynamic model datastore. The method further includes selecting data sources from a set of available data sources for one or more inputs for the one or more dynamic models; retrieving data from the selected data sources; running the one or more dynamic models using the retrieved data as input data to determine one or more output values; and updating the one or more properties of the one or more transportation system digital twins based on the one or more output values of the one or more dynamic models.

Abstract: A method and system of diagnosing a vehicle with a vehicle diagnostic system that is configured to scan an electrical system of a vehicle for error codes. The vehicle diagnostic system is operatively connected with the electrical system of a vehicle via a diagnostic port of the vehicle, with the vehicle diagnostic system determining whether the vehicle is equipped with Advanced Driver Assistance Systems (ADAS).

Abstract: Data processing systems disclosed herein may promote satisfaction of a rider of a vehicle and include a machine learning model and a vehicle control system. The machine learning model determines a measure of an emotional state of the rider based on data received from a sensor associated with the rider, where the data is indicative of a physiological condition of the rider. The vehicle control system: determines a target value of an operating parameter of the vehicle based on a correlation between the emotional state of the rider and the target value of the operating parameter; and adjusts the operating parameter of the vehicle based on the target value of the operating parameter.

Abstract: It discloses an atmospheric polarized light orientation method using a solar azimuth region, provides an angle of polarization (AOP) vision-modulated model in a pixel frame, and gives an orientation strategy utilizing the solar azimuth region; a horizontal attitude angle is introduced into the AOP in the pixel frame, and orientation is implemented by utilizing a separation point and a principal point of photograph; specifically, a seed line extraction algorithm is given to update the solar azimuth in real time, a morphological expression and an AOP expression of the solar azimuth are fused for an optimum estimation to the solar azimuth, and ultimately the orientation is achieved by using an external sensor such as an inertial navigation system to input the horizontal attitude angle.

Abstract: Aspects of the disclosure relate to an autonomous vehicle that may detect other nearby vehicles and designate stationary vehicles as being in one of a short-term stationary state or a long-term stationary state. This determination may be made based on various indicia, including visible indicia displayed by the detected vehicle and traffic control factors relating to the detected vehicle. For example, the autonomous vehicle may identify a detected vehicle as being in a long-term stationary state based on detection of hazard lights being displayed by the detected vehicle, as well as the absence of brake lights being displayed by the detected vehicle. The autonomous vehicle may then base its control strategy on the stationary state of the detected vehicle.

Abstract: Aspects of the disclosure provide for reducing inconvenience to other road users caused by stopped autonomous vehicles. As an example, a vehicle having an autonomous driving mode may be stopped at a first location. While the vehicle is stopped, sensor data is received from a perception system of the vehicle. The sensor data may identify a road user. Using the sensor data, a value indicative of a level of inconvenience to the road user caused by stopping the vehicle at the first location may be determined. The vehicle is controlled in the autonomous driving mode to cause the vehicle to move from the first location and in order to reduce the value.

Abstract: The disclosed computer-implemented method may include improving safety in operating personal mobility vehicles. The method may track and/or control personal mobility vehicles associated with dynamic transportation networks. The method may improve safety related to PMV operation by taking advantage of the various sources and types of information related to PMV operation that are available in the dynamic transportation network. Other methods, systems, and computer-readable media are disclosed.

Abstract: A system may include an operator data collection module to capture human operator interactions with a vehicle control system interface and may include a vehicle data collection module to capture vehicle response and operating conditions associated at least contemporaneously with the human operator interaction. An artificial intelligence system learns to control the vehicle with an optimized margin of safety while mimicking the human operator, where the artificial intelligence system is responsive to the robotic process automation system and the artificial intelligence system is to detect data indicative of at least one of a plurality of the instances of environmental information associated with the contemporaneously captured vehicle response and operating conditions. The optimized margin of safety is to be achieved by training the artificial intelligence system to control the vehicle based on the set of human operator interaction data collected at the robotic process automation system.

Abstract: In some examples, a controller receives measurement data from a sensor on a vehicle, determines, based on the measurement data, a condition of usage of the vehicle, and selects a parameter set from among a plurality of parameter sets based on the determined condition of usage of the vehicle, the plurality of parameter sets corresponding to different conditions of usage of the vehicle, where each parameter set of the plurality of parameter sets includes one or more parameters that control adjustment of one or more respective adjustable elements of the vehicle. The controller causes application of the selected parameter set on the vehicle.

Abstract: A system receives vehicle metric data from a gateway device connected to a vehicle. The vehicle gateway device gathers data related to operation of the vehicle and/or location data. The system receives data from multiple vehicles in a fleet. The vehicle gateway device gathers vehicle metric data at a high frequency. Instead of transmitting a large amount of vehicle metric data at a fine level of granularity, the vehicle gateway device aggregates and buckets the vehicle metric data over a period of time (such as, every five minutes). The system uses the bucketed data for fleet management analysis.

Abstract: A method includes determining a test drive script (TDS) to perform while a tool monitors an electronic system in a mobile machine during a test drive of the mobile machine. The TDS includes an ordered sequence of drive cycle procedures (DCPs). The ordered sequence of DCPs begins with an initial DCP and ends with a final DCP. Each DCP is indicative of a respective mobile machine state. The TDS includes a first particular DCP associated with both a first particular mobile machine state and a first condition pertaining to the first particular mobile machine state. The method also includes outputting a representation of at least a portion of the TDS. Additionally, the method includes determining and outputting one or more of: status information corresponding to achieving the first particular mobile machine state or status information corresponding to achieving the first condition pertaining to the first particular mobile machine state.

Abstract: A system for transportation includes a vehicle configured to have a rider located therein or thereon, and an expert system to produce a recommendation for a configuration of the vehicle, wherein the recommendation includes at least one recommended parameter of configuration for the expert system that controls a parameter selected from the group consisting of a vehicle parameter, a rider experience parameter, and combinations thereof.

Abstract: An incident management system for managing an incident response may be provided. The incident management system may include an incident management (IM) computing device and a vehicle. The IM computing device may include a processor and memory, the processor may be programmed to receive a notification that an incident has occurred, the notification including sensor data and sub-system data. The processor may analyze the data to determine an incident response, the determination including categorizing the incident based on damage determined from the data. The processor may also identify a responding party based on the incident response and the category of the incident. The processor may further parse the data to generate a set of critical data. The critical data may be based on the responding party. The processor may transmit a message to the responding party including the critical data and the location of the vehicle.

Abstract: Systems and methods of utilizing badging for driver risk assessment are provided. Vehicle telematics data (e.g., speed data, acceleration data, braking data, cornering data, following distance data, turn signal data, seatbelt use data) associated with a vehicle operator may be analyzed. Based on the analysis, a trend of safe operation of the vehicle may be identified (e.g., based on a number of vehicle trips and/or a number of consecutive vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a frequency of vehicle trips in which the vehicle telematics data indicates safe operation of the vehicle, a comparison to other drivers, etc.) A digital certificate indicating the trend of safe operation of the vehicle may be associated with the vehicle operator. In response to a third-party query regarding the vehicle operator, the digital certificate associated with the vehicle operator may be displayed to the third party.

Abstract: A method of operating a vehicle in a transportation system includes: receiving data collected for each of a set of users based on interactions of the set of users with a user interface of the vehicle including at least one of a vehicle data system, a vision system, and a connected system; performing robotic process automation on the interactions; learning changes in driving style using an artificial intelligence system based on the robotic process automation; and undertaking an action within the vehicle on behalf of the user based on the learned changes in driving style.

Abstract: The present disclosure provides systems and methods for remote vehicle diagnostics. The remote vehicle diagnostics are obtained based on a vehicle identification number for a vehicle connected to an electrical connector of a vehicle diagnostic system host device. A vehicle electronic configuration file is provided to the host device to control access to one or more vehicle control modules.

Abstract: Systems and methods are described for measuring velocity of an object detected by a light detection and ranging (lidar) system. According to some aspects a method may include receiving a lidar dataset generated by the lidar system, transforming the lidar dataset into a first layer dataset and a second layer dataset, and converting the first layer dataset into a first image and the second layer dataset into a second image. The method may also include performing a feature detection operation that identifies at least one feature in the first image and the same feature in the second image, locating a first location of the feature in the first image and a second location of the feature in the second image, and generating a velocity estimate of the feature based on a difference between the first location and the second location and a difference between the different time intervals.

Abstract: A recommendation system for recommending a configuration of a vehicle includes an expert system that produces a recommendation of a parameter for configuring a vehicle control system that controls at least one of a vehicle parameter and a vehicle rider experience parameter.

Abstract: A center device includes a distribution control unit that is configured to control distribution of data to a plurality of vehicles; a defect detection unit that is configured to detect a defect in the data that was distributed; a restriction execution unit that is configured to cause the plurality of vehicles to restrict a function and/or performance of the data from which the defect is detected; and a grouping unit that divides the plurality of vehicles as restriction targets into groups according to contents of restriction on the function and/or performance. The restriction execution unit is further configured to cause the plurality of vehicles to restrict the function and/or performance of the data from which the defect is detected for each of the groups that are divided by the grouping unit.

Abstract: A computer implemented method for servicing an engine including receiving information including an initial condition profile, CP1, of the engine; forming a workscope associated with a servicing operation of the engine in view of the initial condition profile, CP1; servicing the engine in view of the workscope; determining at least in part an updated condition profile, CP2, of the engine in view of information acquired during the service; and storing the updated condition profile, CP2, for use in a subsequent service operation.