Abstract: A system and method include a server computer that determines a plurality of routes and corresponding route schedules for a plurality of ride service requests. The server computer assigns a plurality of vehicles to service each one of the plurality of routes and further assigns one of the plurality of vehicles to one of a plurality of drivers to perform the route according to the route schedule. The server computer may detect an exception to the route schedule, identify a resolution to the exception, and automatically implement the resolution to the exception.

Abstract: A system and method include a server device which transmits a list of passengers for a vehicle route. The list of passengers may include profiles for each one of the passengers. The server device may further receive a unique identification for a passenger boarding a vehicle and compare the unique identification to the list of passengers for the vehicle route. The server device may further identify the passenger boarding the vehicle as being on board the vehicle in the profile for that passenger. The server device may further receive vehicle status information from the vehicle and transmit driver navigational information to a driver device. The server device may further transmit real time tracking data to a user device, including a map with an indicator of a current location of the vehicle.

Abstract: A system and method include a server device which identifies a plurality of stops for a vehicle among a fleet of vehicles. The server device also identifies stop locations for each one of the plurality of stops and a side of a street for each one of the plurality of stops. Once identified, the server devices generates an optimized route for service by the vehicle to service each one of the stop based on an optimized stop order for each one of the plurality of stops based on the stop locations being disposed only on the identified side of the street for each one of the plurality of stop locations. The optimized route may be provided to a driver device while the route and time of arrival information may be provided to a user.

Abstract: A system and method that includes a ride requestor device, a driver device, a server device, and a user device is disclosed. The ride requestor device provides rider information and stop location information for a plurality of riders. The driver device provides location information, navigation information, and stop timing information for a particular vehicle in a fleet of vehicles. The server device includes an artificial intelligence engine which generates and optimizes a plurality of routes for service by the fleet of vehicles to provide a ride to each one of the plurality of riders.

Abstract: A graphical user interface and a system are provided which include a route identification interface element which specifies a new route for a vehicle, a plurality of route type buttons, a vehicle type interface, a stop order interface, a map, a control button, and an assignment button. The stop order interface identifies one or more stops for a vehicle in a fleet of vehicles. The map identifies the new route and the one or more stops graphically on the graphical user interface. The control button provides a utilization view for the one or more vehicles in the fleet of vehicles from which a vehicle from the one or more vehicles in the fleet of vehicles that are available can be assigned to the new route.

Abstract: A system and method include a device associated with a user. The device may identify to a server computer a route to be reassigned from a first vehicle to a second vehicle among a fleet of vehicles. The server device may include an artificial intelligence engine which compares the route to be reassigned to a plurality of route groups associated with one of the administrator and the ride requestor. The server device may further identify one or more route groups which are able to service the route to be reassigned based on the artificial intelligence engine. The server device may transmit a graphical representation of one or more of the plurality of route groups which is proximally available in terms of location and time, as determined by the artificial intelligence engine to service the route to be reassigned with a color coded indicator. The server device reassigns the route.

Abstract: A system and method include server computer which may generate a route service request to service a route with a vehicle and identify a start location for the route and one or more stop locations of the route based on historical data associated at least with one of the route or the vehicle. The server computer may proceed to determine a probability that each of the one or more stop locations for the route will be serviced by the vehicle for the route and automatically select, based on the probability associated with each one of the one or more stop locations for the route, a subset of stop locations among the one or more stop locations. The server computer may then assign the subset of stop locations to the route, and transmit routing navigation instructions to a device associated with the vehicle.

Abstract: A system and method that includes a server computer which receives one or more vehicle inspection results including at least one of: an issue notification identifying an issue with an interior or exterior component of a vehicle or a driver certification that a vehicle is operable. If an issue notification is received, then a report of the issue is transmitted from the server computer to a maintenance information device and, in response, a maintenance certification that the vehicle is operable is received by the server computer from the maintenance information device. Responsive to receiving the driver certification or the maintenance certification, the server computer automatically selects the associated vehicle for a particular route service and the vehicle is assigned to perform the particular route service based on a request received by the server computer.

Abstract: A server computer receives a routing request for providing a ride service and retrieves a start location and destination from the request. The server computer identifies a plurality of routes connecting the start location and destination among historical route information collected over a period of time. The routes are traveled by one or more vehicles and reported during the period of time. The server computer identifies a selected route, including a plurality of waypoints, among the plurality of routes based on the selected route having a higher probability to be taken. The server computer multiplies an identified time duration for each waypoint with a determined adjustment factor for each time duration to determine an augmented time duration for each waypoint, determines a sum of all the augmented time durations as the estimated time for arrival, and transmits the estimated time of arrival to the user device.

Abstract: This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.

Abstract: A system and method include providing a list of children to be picked up by a vehicle at a particular stop along a route to a driver device. The provided list is displayed as part of a graphical user interface which includes a plurality of pick up options for each child in the list of children. The options include a picked up interface button, a no show interface button and a canceled button. The graphical user interface provides a picture and identification of each child. The server device transmits a message to a user device with confirmation that a child has been picked up. The server device also provides a list of children to be dropped off by the vehicle via a graphical user interface that also provides drop off options for each child in the list of children including a dropped off button or an on hold button.

Abstract: A system and method that includes a ride requestor device, a driver device, a server device, and a user device is disclosed. The ride requestor device provides rider information and stop location information for a plurality of riders. The driver device provides location information, navigation information, and stop timing information for a particular vehicle in a fleet of vehicles. The server device includes an artificial intelligence engine which generates and optimizes a plurality of routes for service by the fleet of vehicles to provide a ride to each one of the plurality of riders.

Abstract: This disclosure generally relates to a method and system for scheduling a ride for a third party by a ride requestor. In one embodiment, the method includes receiving a ride request for a third party rider from a user device. The method may further include identifying a set of drivers from a trusted drivers and identifying from the set of trusted drivers, an optimal driver. The method may further include transmitting a ride confirmation to the ride requestor, the optimal driver, and the third party rider.

Abstract: A graphical user interface and a system are provided which include a route identification interface element which specifies a new route for a vehicle, a plurality of route type buttons, a vehicle type interface, a stop order interface, a map, a control button, and an assignment button. The stop order interface identifies one or more stops for a vehicle in a fleet of vehicles. The map identifies the new route and the one or more stops graphically on the graphical user interface. The control button provides a utilization view for the one or more vehicles in the fleet of vehicles from which a vehicle from the one or more vehicles in the fleet of vehicles that are available can be assigned to the new route.

Abstract: This disclosure generally relates to a method and system for requesting a ride for a third party rider. In one embodiment, a user device may be used to transmit a ride request to a server for a third party rider. The user device may receive an indication of a driver from a set of trusted drivers among a pool of drivers. Further, the user device and a device associated with the third party user may receive a ride confirmation.

Abstract: This disclosure generally relates to a method and system for providing a ride for a third party rider at the request of a user ride requestor. In one embodiment, a driver device may be used to receive a ride request from one or more server computing devices for a third party rider. The driver device may receive information identifying the third party rider, including a password. Further, the driver device may transmit real time ride status information to the ride requestor directly or indirectly via the one or more server computing devices.

Abstract: The invention relates to in vitro methods for predicting tumour progression or response to anticancer therapy of a cancer patient the method comprising the steps of: 1) providing engineered mammalian immune cells comprising: —a NFkB signalling reporter construct and an IFN signalling reporter construct, 2) contacting the engineered cells with a blood sample of a cancer patient, allowing induction of the NFkB and/or IFN signalling pathways of said engineered cells by the blood sample, 3) determining the expression and/or activity levels of the first and second reporter protein, 4) comparing the expression levels and/or activity of the first and second reporter protein determined in step 3) with the expression and/or activity levels of the first and second reporter protein in a reference sample of a healthy individual, 5) based on the comparison predicting tumour progression, or response to anticancer therapy of the cancer patient.

Abstract: A system and method are provided for determining mistrack conditions in work vehicles such as excavators having first and second tracks. A controller uses data from onboard sensors (e.g., cameras, lidar) having an external field of view to detect a first position of, e.g., a track of the work vehicle relative to a first external point in a local reference system independent of a global reference system and to detect, upon the work vehicle having advanced from the detected first position a predetermined distance, a second position of the at least first component of the work vehicle relative to a second external point in the local reference system. The controller further determines an amount of mistrack error corresponding to a difference between the detected second position and an expected second position, and generates an output signal based on the determined amount of mistrack error.

Abstract: A system and method are provided for determining mistrack conditions in work vehicles such as excavators having first and second tracks. A controller uses data from onboard sensors (e.g., cameras, lidar) having an external field of view to detect a first position of, e.g., a track of the work vehicle relative to a first external point in a local reference system independent of a global reference system and to detect, upon the work vehicle having advanced from the detected first position a predetermined distance, a second position of the at least first component of the work vehicle relative to a second external point in the local reference system. The controller further determines an amount of mistrack error corresponding to a difference between the detected second position and an expected second position, and generates an output signal based on the determined amount of mistrack error.

Abstract: Embodiments provide artificial intelligence methods and systems for evaluating vulnerability risks of issuer authorization system. Method performed by a server system includes accessing a set of payment transaction data including subset of fraudulent transaction data. Method includes generating via a machine learning model, set of synthetic transaction data based on the subset of fraudulent transaction data. Method includes accessing set of historical card velocity features and collating the set of synthetic transaction data and the set of historical card velocity features to generate set of enriched synthetic transaction data. Method includes extracting via a classifier, subset of feasible fraudulent transaction data from the set of enriched synthetic transaction data. Method includes generating simulated authorization model based on the set of payment transaction data.