A vehicle includes: a permission unit configured to permit a remote operation performed by a remote operation device provided outside the vehicle; a transmission unit configured to transmit surrounding information of the vehicle; a reception unit configured to receive a remote operation signal input by an operator outside the vehicle via the remote operation device; a traveling control unit configured to control the vehicle to travel based on the remote operation signal; a drive data acquisition unit configured to acquire drive data input by a driver in the vehicle; and a handover determination unit configured to determine, while the remote operation is permitted by the permission unit, that handover of a driving operation of the vehicle to the remote operation is allowed when a difference between the drive data acquired by the drive data acquisition unit and the remote operation signal is within a predetermined range.

A vehicle includes: a permission unit configured to permit a remote operation performed by a remote operation device provided outside the vehicle; a transmission unit configured to transmit surrounding information of the vehicle; a reception unit configured to receive a remote operation signal input by an operator outside the vehicle via the remote operation device; a traveling control unit configured to control the vehicle to travel based on the remote operation signal; a drive data acquisition unit configured to acquire drive data input by a driver in the vehicle; and a handover determination unit configured to determine, while the remote operation is permitted by the permission unit, that handover of a driving operation of the vehicle to the remote operation is allowed when a difference between the drive data acquired by the drive data acquisition unit and the remote operation signal is within a predetermined range.

Semi-autonomous vehicle apparatus which is controlled by a plurality of control sources includes a vehicle which may function autonomously and apparatus for control of the vehicle by either an onboard driver or a driver not situated onboard. The vehicle may also be controlled by an off-vehicle computational device. Hierarchy setting apparatus determines which one or combination of the possible control entities take priority. Persons using the apparatus are identified by either a password or, preferably by providing identification based on a biologic feature. Management of impaired vehicle operators is provided for.

Semi-autonomous vehicle apparatus which is controlled by a plurality of control sources includes a vehicle which may function autonomously and apparatus for control of the vehicle by either an onboard driver or a driver not situated onboard. The vehicle may also be controlled by an off-vehicle computational device. Hierarchy setting apparatus determines which one or combination of the possible control entities take priority. Persons using the apparatus are identified by either a password or, preferably by providing identification based on a biologic feature. Management of impaired vehicle operators is provided for.

A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.

A database of high risk locations is formed and high risk causal factors for the high risk locations determined. Driver behavior is monitored at the sites in the database using data collection devices such as electronic logging devices or mobile phones to see if the drivers exhibit the same specific behaviors that are considered contributing factors to specific accident types at risk of occurrence at those sites. Warnings are provided to drivers approaching the specific sites to prompt behavioral changes which may further be monitored by the data collection devices.

A simulating method for an electric vehicle (EV) includes: receiving a request from a driver of the EV for performing a simulation of a target vehicle on the EV; obtaining a plurality of configuration parameters for simulating behavior of the target vehicle on the EV, at least including information of the target vehicle and settings of the target vehicle for the driver; obtaining a plurality of vehicle parameters of the EV, at least including run-time parameters of the EV and driving conditions of the EV; and performing a simulating process to obtain one or more control parameters to control the EV to realize behaviors, actions, and/or characteristics of the target vehicle on the EV based on the plurality of vehicle parameters and the plurality of configuration parameters using a vehicle simulator model. The vehicle simulator model is a neural network.

A simulating method for an electric vehicle (EV) includes: receiving a request from a driver of the EV for performing a simulation of a target vehicle on the EV; obtaining a plurality of configuration parameters for simulating behavior of the target vehicle on the EV, at least including information of the target vehicle and settings of the target vehicle for the driver; obtaining a plurality of vehicle parameters of the EV, at least including run-time parameters of the EV and driving conditions of the EV; and performing a simulating process to obtain one or more control parameters to control the EV to realize behaviors, actions, and/or characteristics of the target vehicle on the EV based on the plurality of vehicle parameters and the plurality of configuration parameters using a vehicle simulator model. The vehicle simulator model is a neural network.

This disclosure describes systems and methods for determining vehicle parking scores. An example method may include calculating, subsequent to a first vehicle parking within a first parking space of a parking lot and based on first sensor data obtained by the first vehicle, a first vehicle parking score. The example method may also include calculating, subsequent to a second vehicle parking within the first parking space of the parking lot and based on second sensor data obtained by the second vehicle, a second vehicle parking score. The example method may also include calculating a first average vehicle parking score for the first parking space based on the first vehicle parking score and the second vehicle parking score. The example method may also include presenting an indication of the first average vehicle parking score for the first parking space to a third vehicle within the parking lot.

This disclosure describes systems and methods for determining vehicle parking scores. An example method may include calculating, subsequent to a first vehicle parking within a first parking space of a parking lot and based on first sensor data obtained by the first vehicle, a first vehicle parking score. The example method may also include calculating, subsequent to a second vehicle parking within the first parking space of the parking lot and based on second sensor data obtained by the second vehicle, a second vehicle parking score. The example method may also include calculating a first average vehicle parking score for the first parking space based on the first vehicle parking score and the second vehicle parking score. The example method may also include presenting an indication of the first average vehicle parking score for the first parking space to a third vehicle within the parking lot.