A tire replacement forecasting system includes a tire supporting a vehicle. A sensor unit is mounted on the tire and includes a footprint centerline length measurement sensor and a pressure sensor. A processor is in electronic communication with the sensor unit and receives the measured centerline length and the measured pressure. An electronic vehicle network transmits selected vehicle parameters to the processor. A wear state predictor is stored on the processor and receives the measured centerline length, the measured pressure, and the selected vehicle parameters to generate an estimated wear state of the tire. A forecasting model is stored on the processor and receives multiple estimated wear states of the tire, and predicts future wear states of the tire. A forecast tire replacement date is generated by the forecasting model when the predicted future wear states of the tire are estimated to pass a predetermined wear threshold.

An information processing apparatus includes a controller configured to acquire, when a suspension of operation occurs in an autonomous vehicle, positional information, vehicle information, a vehicle internal image, and a vehicle external image of the autonomous vehicle, and determine, in a case in which a suspension of operation occurs in a plurality of autonomous vehicles, an order of priority for a rescue team to go to the plurality of vehicles, based on the positional information, the vehicle information, the vehicle internal image, and the vehicle external image.

A network-enabled system that provides condition reports, such as battery condition reports, for electric vehicles is disclosed. Specific embodiments implement superior techniques for enhancing the accuracy of the condition reports. In one preferred embodiment, a user is prompted to enter data about a specific vehicle which may be captured or verified using a photograph captured of certain data displays in or on the vehicle

Methods and systems for determining an alternator condition in a motor vehicle are provided. The method includes receiving a maximum cranking voltage and a maximum cranking voltage time stamp from the motor vehicle over an asset interface of the telematics device; receiving a maximum device voltage and a maximum device voltage time stamp from the motor vehicle over the asset interface, and determining a potential alternator undercharging condition if a duration between the maximum cranking voltage time stamp and the maximum device voltage time stamp is greater than an undercharging indicator duration threshold. Advantageously, an alternator may be repaired or replaced before it fails thus averting having the motor vehicles inoperable.

A vehicular driving control system and a method for operating the same are provided, may include an information provider to provide information on a front road of a vehicle, a transmission controller to control gear shifting by predicting a condition on the front road based on the information on the front road, and a diagnosing device to diagnose a failure status by verifying matching with the information on the front road, and to restrict a predictive gear-shifting controlling operation of the transmission controller, according to a result of the diagnosing.

A storage device (301) stores a failure correspondence table (405) that indicates a countermeasure for a time when a failure occurs in an apparatus mounted on a vehicle (100). A failure countermeasure update unit (404) updates the countermeasure indicated in the failure correspondence table (405) in accordance with a change in a traveling environment of the vehicle (100).

Controlling a vehicle using contextual navigation assistance can include defining a context for the vehicle using sensor data for a plurality of time points while the vehicle traverses between a starting and stopping location, the context being one of multiple contexts, and each associated with at least one candidate variable for inclusion in an ordered representation of information, classifying the vehicle into a phase of multiple phases associated with different proximities of the vehicle to a maneuver, each phase associated with at least one candidate variable for inclusion in the ordered representation, and generating, using the phase and the context, the ordered representation. The ordered representation is ranked from most likely to least likely information that is necessary, during a current phase, to successfully complete the maneuver. The ordered representation is produced by a user interface so that it can be used to control the vehicle.

A method for prevention of fault events on vehicles including: acquiring predictive data related to predictive events for a vehicle; processing the predictive data with a vehicle performance model adapted to relate specific predictive events to specific vehicle performance events; and adjusting a control strategy for the vehicle based on an outcome of the processing to at least reduce the risk that a specific vehicle performance event occurs when the vehicle reaches a corresponding specific predictive event.

A vehicle includes: a memory; and a processor coupled to the memory, the processor being configured to: in a case in which it has been determined that washing of the vehicle is to be carried out, transition a state of the vehicle from a current mode to a vehicle washing mode that stops a power source of the vehicle, stops operation of a first equipment that is provided at the vehicle and that displaces a movable portion of the vehicle, and permits operation of a second equipment that is provided at the vehicle and that is related to comfort within a vehicle cabin of the vehicle.

A vehicle event detection system is disclosed, including an event detection module in operable communication with a vehicle computing system. The event detection module is in operable communication with one or more vehicle and body framework sensors to detect an impact, one or more accelerometers, one or more gyroscopes, and an airbag deployment module. A control module receives an output signal from the event detection module if an event occurs, the control module to transmit an output signal to a marking device to deploy a marker at a location of the event.