A system for transportation includes a vehicle having a user interface, and a robotic process automation system wherein a set of data is captured for each user in a set of users as each user interacts with the user interface, and wherein an artificial intelligence system is trained using the set of data to interact with the vehicle to automatically undertake actions with the vehicle on behalf of the user.

A method of optimizing an operating state of a vehicle includes classifying, using a first neural network of a hybrid neural network, social media data sourced from a plurality of social media sources as affecting a transportation system. The method further includes predicting, using a second neural network of the hybrid neural network, one or more effects of the classified social media data on the transportation system. The method further includes optimizing, using a third neural network of the hybrid neural network, a state of at least one vehicle of the transportation system, wherein the optimizing addresses an influence of the predicted one or more effects on the at least one vehicle.

Aspects of the disclosure provide a computer-implemented method and system for the assignment of roadside assistance service providers such as tow trucks to distressed vehicles/drivers requiring roadside assistance. The methods and systems may include a roadside assistance service provider system with a collection module, an assignment module, and a feedback module. The collection module collects roadside assistance service provider information and historical statistics from real-world information and stores the information in a database that may then be analyzed using particular rules and formulas. The assignment module assigns particular roadside assistance service providers to particular distressed vehicles/drivers based on one or more characteristics. The feedback module may provide near real-time cues to the tow truck driver's mobile device, such as alerting when the amount of time spent on a task exceeds a predefined threshold, flagging high priority tasks/assignments, providing a step-by-step checklist for the repair.

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.

Computing systems for vehicle diagnostics are provided. In accordance with some aspects, a computing system may receive, from a vehicle (e.g., from a computing device installed in and/or at the vehicle), a diagnostic code generated by an on-board diagnostic (OBD) system of the vehicle. The computing system may determine an issue with the vehicle based on the diagnostic code and may determine, based on the issue, a remedial action for addressing the issue and a timeframe for performing the remedial action. The computing system may store data identifying the issue, the remedial action, and the timeframe in a record associated with the vehicle.

According to one or more examples, a system includes an observer vehicle, and a vehicle in a predetermined vicinity of the observer vehicle. The observer vehicle detects an operating condition of the vehicle using one or more perception devices. The observer vehicle determines that the operating condition does not satisfy a predetermined norm. The observer vehicle generates a message indicating the operating condition of the vehicle. The observer vehicle identifies a communication identifier of the vehicle. The observer vehicle sends the message to be received by the vehicle using the communication identifier via a vehicle to everything (V2X) communication module.

A method and system that can be used to generate or modify a schedule using data indicative of a vehicle condition reported by a vehicle is described. A server receives a first computer network transmission (CNT) comprising data indicative of the vehicle and the vehicle condition, parses the first CNT to obtain the data indicative of the vehicle and the data indicative of the vehicle condition; determines, based on the data indicative of the vehicle, a computer network address associated with a repair shop having a client disposed at the address to display content of a scheduler application, and transmits to the client disposed at the address, a second CNT comprising data to cause the client to display as part of the content of the scheduler application served by computing server an alert indicator and parsed data indicative of the vehicle and the parsed data indicative of the vehicle condition.

A transport-monitoring module for monitoring a transport of a transport unit of a passenger-transportation device is arranged on the transport unit. The transport-monitoring module has a sensor and localization devices. During the transport, through an interface unit, a connection with a data memory of the device is created. The interface unit is configured so that transport-monitoring data that are to be stored, which are based on sensor data of the sensor and localization data of the localization devices, are permanently stored in the data memory. In this way, the transport-monitoring module is simplified, so that it is no longer an item that is worth stealing. In addition, a reliable access to the stored transport-monitoring data after the end of the transport is secured.

A visual theft prevention system for a vehicle 1 comprises at least one sheet of automotive glass configured as a vehicle windscreen 2, and; at least one film layer attached to the at least one sheet of automotive glass, the film layer configured to have an active state where the film layer is substantially opaque, and an inactive state where the film layer is substantially transparent, the film layer shaped and sized such that when in the active state, the view of a user through the vehicle windscreen 2 is substantially blocked.

A system aggregates data related to a non-conformance system in an aircraft and allocates resources to repairing the non-conformance condition. The system includes a service bus that receives and distributes the non-conformance condition and an optimizer tool that generates repair alternatives. The optimizer tool allows dynamic reconfiguration of rules to activate and deactivate or change a weight of individual rules in a rule set.