Methods and systems for a heads-up configurable vehicle dash display are provided. Specifically, a configurable dash may comprise one or more displays that are capable of receiving input from a user. At least one of these displays may be configured to present a plurality of custom applications that, when manipulated by at least one user, are adapted to control and/or monitor functions associated with a vehicle and/or associated peripheral devices. It is anticipated that the function and appearance of the plurality of custom applications may be altered via user and/or processor input.

Systems and methods are provided for applying an adaptive drive mode to a vehicle, including: the vehicle detecting selection of a drive mode and setting vehicle systems to correspond to the selected drive mode to place the vehicle in the selected drive mode; an adaptive drive mode circuit using vehicle sensor data to determine whether the vehicle is in a low-range mode of operation; and modifying the vehicle system settings that correspond to the selected drive mode if the vehicle is in low-range mode to adapt the vehicle system settings that correspond to the selected drive mode for the low-range mode of operation.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

Methods and systems for determining risk associated with operation of autonomous vehicles using autonomous communication are provided. According to certain aspects, autonomous operation features associated with a vehicle may be determined, including features associated with autonomous communication between vehicles or with infrastructure. This information may be used to determine risk levels for a plurality of features, which may be based upon test data regarding the features or actual loss data. Expected use levels and autonomous communication levels may further be determined and used with the risk levels to determine a total risk level associated with operation of the vehicle. The autonomous communication levels may indicate the types of communications, the levels of communication with other vehicles or infrastructure, or the frequency of autonomous communication. The total risk level may be used to determine or adjust aspects of an insurance policy associated with the vehicle.

A system, a method, and a computer readable medium for communicating vehicle-specific policy to autonomous vehicles are provided herein. The method may include the following steps: storing, sensing and transmitting to the cellular communication network, data associated with autonomous vehicles; maintaining a set of rules for operational parameters of the autonomous vehicles, applying the data associated with the autonomous vehicles for each respective autonomous vehicle to the policy database, to yield a vehicle-specific configuration command; and generating a vehicle-specific configuration command to be sent to the respective autonomous vehicle, that when reaches the autonomous vehicle, configures the autonomous vehicles into one of a plurality of operational configurations.

A vehicle control system includes: a first switch that accepts an operation of an occupant of a vehicle; and a performance part that performs, when the first switch is operated, travel assist in a node in which an assist degree is the largest at that time point.

Provided is a vehicle control method that performs basic self-driving control configured to automatically control the travel of a host vehicle based on an intervehicle distance between the host vehicle and a preceding vehicle. When a traffic jam on a travel lane of the host vehicle is detected, low torque travel control configured to cause the host vehicle to travel by a drive torque lower than a drive torque determined based on the basic self-driving control is performed, and when the intervehicle distance exceeds, in the low torque travel control, a predetermined upper limit distance larger than a set during-vehicle-stop intervehicle distance serving as a reference for the start or the stop of the host vehicle in the basic self-driving control, the low torque travel control is switched to the basic self-driving control.

Disclosed is a hybrid electric vehicle and method of controlling operation of engine of the vehicle. The hybrid electric vehicle switches its drive mode in consideration of air pollution and pedestrians around the vehicle. A method of controlling a drive mode of a hybrid electric vehicle includes recognizing at least one of a pedestrian and an air pollution level around the hybrid electric vehicle, determining whether each of the recognized pedestrian and the recognized air pollution level meets a corresponding prescribed exhaust gas reduction mode request condition, and determining an exhaust gas reduction mode drive according to a result of the determination.

Systems and methods for controlling an autonomous vehicle are provided. In one example embodiment, a computer-implemented method includes receiving data indicative of an operating mode of the vehicle, wherein the vehicle is configured to operate in a plurality of operating modes. The method includes determining one or more response characteristics of the vehicle based at least in part on the operating mode of the vehicle, each response characteristic indicating how the vehicle responds to a potential collision. The method includes controlling the vehicle based at least in part on the one or more response characteristics.

An automated driving method for a vehicle includes: determining whether or not a traffic jam is detected ahead of a host vehicle by a distance equal to or more than a predetermined distance on a travel route of the host vehicle during travel by automated driving that brings a vehicle speed close to a target vehicle speed; and in a traffic jam detection time when the traffic jam is detected, reducing the vehicle speed VSP to be lower than a target vehicle speed VSPt0 for the automated driving in a normal time other than the traffic jam detection time.