Various examples are directed to systems and methods for controlling a vehicle. Power may be provided to a cut-off valve in fluid communication between an automated control (AC) valve and a shuttle valve. The cut-off valve may be configured to open in response to the power, causing fluid communication between the AC valve and the shuttle valve. A vehicle autonomy system may modulate the AC valve to control a level of pressurized air provided from a pressurized air reservoir to a foundation brake via the AC valve and the shuttle valve. In response to an automated disengage signal, the cut-off valve may close to prevent pressurized air from reaching the shuttle valve via the AC valve and permit pressurized air to reach the shuttle valve via a pedal valve.

A Hybrid-Lite system for use with a vehicle includes a prime mover, an electric power system, and auxiliaries. The prime mover comprises an internal combustion engine. The electric power system is configured to be driven by the combustion engine to produce electric energy for powering the auxiliaries.

A system for monitoring occupancy of a seat arranged in a transportation vehicle is disclosed. The system includes at least one detection device arranged in the vehicle, within the seat or near the seat, and at least one centralized occupancy management system located outside of the vehicle and at least one occupancy management system located outside of the vehicle. An occupancy displaying unit is arranged on the seat or next to the seat for providing visual information about seat occupancy. The passenger's mobile communication device is used by the system for locating the passenger inside the transportation vehicle, by means of dedicated device detection units arranged in the transportation vehicle. The centralized occupancy management system and the occupancy management system are informed in real-time about the seat's occupancy.

In various embodiments, while a self-driving model operates a vehicle, a user monitoring subsystem acquires sensor data associated with a user of the vehicle and a vehicle observation subsystem acquires sensor data associated with the vehicle. The user monitoring subsystem computes values for a psychological metric based on the sensor data associated with the user. Based on the values for the psychological metric, a feedback application determines a description of the user over a first time period. The feedback application generates a dataset based on the description and the sensor data associated with the vehicle. Subsequently, a training application performs machine learning operation(s) on the self-driving model based on the dataset to generate a modified self-driving model. Advantageously, the dataset enables the training application to automatically modify the self-driving model to account for the impact different driving actions have on the user.

Systems and methods are disclosed for controlling vehicle operations in response to a route identification reference for a vehicle based on route characteristics associated with the route identified by the route identification reference.

A method for conditioning the air of the passenger compartment of an electric vehicle, which includes: a preliminary step conditioning the air in at least one portion of the passenger compartment by an air-conditioning device supplied with power by a power source external to the vehicle, when the vehicle is linked to the external power source; and a main step conditioning the air in the at least one portion of the passenger compartment, by an air-conditioning device supplied with power by a vehicle fossil power source during use of the vehicle; the preliminary step conditioning the air giving priority to the conditioning of the air, in a driver area of the vehicle. A system implementing such a method and an electric vehicle, in particular, an electric bus, implementing such a method or system is also provided.

A method for decelerating a vehicle, a non-transitory computer-readable medium for performing the method, and reception apparatuses. The method includes monitoring a state of a driver of the vehicle, and causing a notification to be output based on the monitored state of the driver. The method further includes determining, by circuitry of an information processing apparatus and when operating in a manual operation mode, whether to cause the vehicle to decelerate after the notification is output. The vehicle is caused by the circuitry to decelerate based on the determination of whether to cause the vehicle to decelerate.

A method and system are provided for adapting a vehicle control strategy of an on-road vehicle following a reoccurring fixed route to a predetermined destination, which fixed route extends through at least one geographical zone associated with at least one environmental restriction. When it is determined that the vehicle is approaching the geographical zone, historical data collected from previous passages of one or several vehicles through the zone is accessed, and the vehicle control strategy inside the geographical zone is adapted based on the historical data and the environmental restriction.

The vehicle includes a powertrain having an axle having a first drive wheel and a second drive wheel. A first gearbox may couple a first power source to the first drive wheel, and a second gearbox may independently couple a second power source to the second drive wheel. And, a controller may be configured to initiate a gear shift in the first gearbox and the second gearbox at different times.

An embodiment of the present disclosure is, as a multi-purpose autonomous vehicle control apparatus for controlling an autonomous vehicle having a receiving space and an external display and for providing a shuttling operation for driving along a predetermined route, the multi-purpose autonomous vehicle control apparatus including a communicator for receiving a vehicle operation request signal, and a controller for generating a mode designation signal for designating a vehicle operation mode corresponding to the vehicle use purpose, and the communicator transmits the mode designation signal to the autonomous vehicle. At least one among an autonomous driving vehicle, a user terminal, and a server according to embodiments of the present disclosure may be associated or integrated with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, a 5G service related device, and the like.