Abstract: According to one example there is provided a method comprising selecting a first location from a set of locations and analysing, by a processor, data collected from a first vehicle located within a first distance of the first location. A first value representative of a first performance parameter of the first vehicle is generated. A second value representative of a second performance parameter of the first vehicle is generated. At least one of the first and second values is compared with a first threshold and, when one of the first and second values is greater than the first threshold, a safety alert is issued greater than (in some examples, less than).

Abstract: Vehicle fuel tank modeling systems and methods are provided herein. An example method includes introducing known volumes of fuel into the fuel tank, determining correlations of fuel level percentage values relative to the known volumes of fuel placed into the fuel tank, offsetting the correlations to compensate for unusable fuel volume of the fuel tank, selecting a non-linear fuel tank model that fits the offset correlations, and applying the non-linear fuel tank model to a target vehicle having a fuel tank with a fuel tank part number.

Abstract: Vehicle fuel volume estimation systems and methods are provided herein. An example method includes determining a fuel level percentage value for a vehicle, determining a vehicle identification number (VIN) of the vehicle, determining a fuel tank part number using the VIN, converting the fuel level percentage value into a fuel volume value based on the fuel tank part number, and transmitting a message to a recipient, the message that includes the fuel volume value.

Abstract: Vehicle fuel volume consumption estimation and accuracy analysis systems and methods are provided herein. An example method includes determining a fuel level percentage estimate or a fuel volume estimate for a vehicle at a first point in time and a second point in time for a trip, the fuel level percentage estimate or the fuel volume estimate being determined using a fuel tank model of a fuel tank of a vehicle, determining connected vehicle data that includes a determination of accumulated fuel consumed during the trip, and determining an accuracy of fuel tank model using the fuel level percentage estimate or the fuel volume estimate calculated at the first point in time and the second point in time, as well as the accumulated fuel consumed during the trip.

Abstract: Vehicle fuel tank modeling systems and methods are provided herein.

Abstract: Vehicle fuel volume consumption estimation and accuracy analysis systems and methods are provided herein. An example method includes determining a fuel level percentage estimate or a fuel volume estimate for a vehicle at a first point in time and a second point in time for a trip, the fuel level percentage estimate or the fuel volume estimate being determined using a fuel tank model of a fuel tank of a vehicle, determining connected vehicle data that includes a determination of accumulated fuel consumed during the trip, and determining an accuracy of fuel tank model using the fuel level percentage estimate or the fuel volume estimate calculated at the first point in time and the second point in time, as well as the accumulated fuel consumed during the trip.

Abstract: Vehicle fuel volume estimation systems and methods are provided herein. An example method includes determining a fuel level percentage value for a vehicle, determining a vehicle identification number (VIN) of the vehicle, determining a fuel tank part number using the VIN, converting the fuel level percentage value into a fuel volume value based on the fuel tank part number, and transmitting a message to a recipient, the message that includes the fuel volume value.

Abstract: A controller for a vehicle is configured to determine a driving behaviour of a first vehicle and a second vehicle. The controller is configured to receive data relating to at least one of a flow of traffic at the given location and a geography at the given location. If the controller determines that the driving behaviour of the first vehicle and the driving behaviour of the second vehicle are similar and the controller determines that at least one of the flow of traffic at the given location departs from a normal traffic flow and the geography at the given location increases the risk of accident, then the controller is configured to issue an alert.

Abstract: A controller for a vehicle is configured to determine a driving behaviour of a first vehicle and a second vehicle. The controller is configured to receive data relating to at least one of a flow of traffic at the given location and a geography at the given location. If the controller determines that the driving behaviour of the first vehicle and the driving behaviour of the second vehicle are similar and the controller determines that at least one of the flow of traffic at the given location departs from a normal traffic flow and the geography at the given location increases the risk of accident, then the controller is configured to issue an alert.

Abstract: Systems, methods, and computer-readable media are disclosed for optimizing vehicle scheduling in routes for fleet management. Example methods may include determining traffic data associated with one or more routes for at least one first vehicle of a fleet and determining one or more parameters from the traffic data; performing at least one first artificial intelligence (AI)-based algorithm using the one or more parameters to determine a social travel time associated with one or more second vehicles; and performing at least one second AI-based algorithm based at least in part on the social travel time to determine one or more impact parameters.

Abstract: According to one example there is provided a method comprising selecting a first location from a set of locations and analysing, by a processor, data collected from a first vehicle located within a first distance of the first location. A first value representative of a first performance parameter of the first vehicle is generated. A second value representative of a second performance parameter of the first vehicle is generated.