A vehicle management system includes: a map calculation unit that calculates a slip map in which a traveling position of an autonomous vehicle and a statistical value of slip index values on the traveling position are associated; and a vehicle extraction unit that extracts, as a target vehicle, the autonomous vehicle that has measured an outlier of the slip index value on a traveling route compared to the slip map.

A vehicle determines a surface deviance on a road ahead of the vehicle and towards which the vehicle is traveling. The vehicle determines an adjustment to an adaptive ride-height system of the vehicle to change a vehicle ground-clearance, the adjustment determined based at least on a dimension associated with the deviance and, prior to reaching the deviance, adjusts the adaptive ride-height system in accordance with the determined adjustment.

A method for adaptive estimation of a road surface adhesion coefficient for a vehicle with complex excitation conditions taken into consideration comprises the following steps: 1) designing an estimator according to a single-wheel dynamics model of a vehicle, and estimating a longitudinal tire force and a road surface peak adhesion coefficient under longitudinal excitation; 2) designing an estimator according to a two-degree-of-freedom kinematic model of the vehicle, and estimating a tire aligning moment and a road surface peak adhesion coefficient under excitation of a lateral force; and 3) determining an excitation condition met by the vehicle according to a vehicle state parameter, performing fuzzy inference to obtain limits achievable by current longitudinal and lateral tire forces, and designing a fusion observer to fuse estimation results. The method achieves favorable robustness, improves real-time capability, and can be performed quickly and accurately.

A drive control apparatus is applied to a drive system that is mounted to a vehicle, drives wheels of the vehicle by a motor, and brakes the wheels by a brake apparatus. The drive control apparatus determines a road-surface state of a travel road of the vehicle. The drive control apparatus suppresses slipping of the vehicle by correcting a drive torque by correcting at least either of a motor torque and a brake torque. When determined that the drive torque is to be corrected, the drive control apparatus adjusts a correction amount of the drive torque by adjusting the motor torque with higher priority than the brake torque in response to be determined that the road-surface state is rough.

A non-transitory computer readable storage medium has instructions executed by a processor to obtain the relative speed between a first traffic object and a second traffic object. The separation distance between the first traffic object and the second traffic object is received. The relative speed and the separation distance are combined to form a quantitative measure of hazard encountered by the first traffic object. The obtain, receive and combine operations are repeated to form cumulative measures of hazard associated with the first traffic object. The cumulative measures of hazard are analyzed to derive a first traffic object safety score for the first traffic object.

Embodiments of the present application disclose a safety control method and a safety control system based on environmental risk assessment for an intelligent connected vehicle. The method includes: when a vehicle is in an automatic driving mode, acquiring environmental parameter information of the vehicle in a current driving environment; determining a target driving control parameter which meets a preset safe driving condition under the current environmental parameter; and managing a current automatic driving level of the vehicle by using the target driving control parameter.

Embodiments of the present application disclose a safety control method and a safety control system based on environmental risk assessment for an intelligent connected vehicle. The method includes: when a vehicle is in an automatic driving mode, acquiring environmental parameter information of the vehicle in a current driving environment; determining a target driving control parameter which meets a preset safe driving condition under the current environmental parameter; and managing a current automatic driving level of the vehicle by using the target driving control parameter.

A system for guiding evacuation at a time of a disaster, including: a wireless communicator installed at a vehicle and is able to receive information relating to occurrence of a disaster from an external communication device; a display installed at the vehicle and that is able to display information; a notification device installed at the vehicle and that is able to notify an occupant of the vehicle of information; and a processor coupled to a memory, the processor is configured to: in response to information expressing that a disaster has occurred being received from the wireless communicator, propose a traveling route to a destination of the vehicle, and cause the display to display the destination and the traveling route, and cause the notification device to notify the vehicle occupant of information relating to a status of crowding of at least one of the destination and the traveling route.

A system for guiding evacuation at a time of a disaster, including: a wireless communicator installed at a vehicle and is able to receive information relating to occurrence of a disaster from an external communication device; a display installed at the vehicle and that is able to display information; a notification device installed at the vehicle and that is able to notify an occupant of the vehicle of information; and a processor coupled to a memory, the processor is configured to: in response to information expressing that a disaster has occurred being received from the wireless communicator, propose a traveling route to a destination of the vehicle, and cause the display to display the destination and the traveling route, and cause the notification device to notify the vehicle occupant of information relating to a status of crowding of at least one of the destination and the traveling route.

A method and an apparatus for determining a road surface adhesion coefficient are provided. The method includes: determining, based on M state parameters of a vehicle on a target road section, M road surface adhesion coefficient estimation results respectively corresponding to the M state parameters, M being an integer greater than 1; selecting N road surface adhesion coefficient estimation results from the M road surface adhesion coefficient estimation results according to a traveling work condition of the vehicle on the target road section, N being a positive integer smaller than or equal to M; and determining a road surface adhesion coefficient of the target road section based on the N road surface adhesion coefficient estimation results.