Technologies and techniques for a remote control center and for operating a vehicle from remote. Information is obtained on a pQoS of a communication link between the remote control center and the vehicle. At least one driving command is then provided to the vehicle via the communication link and a range of the at least one driving command is adapted, based on the information on the pQoS.

Technologies and techniques for a remote control center and for operating a vehicle from remote. Information is obtained on a pQoS of a communication link between the remote control center and the vehicle. At least one driving command is then provided to the vehicle via the communication link and a range of the at least one driving command is adapted, based on the information on the pQoS.

A system and a method for generating a navigation path for an autonomous system. The method comprises receiving data comprising characteristics of entities, the entities defining an environment in which the autonomous system is configured to operate; receiving first instructions causing the autonomous system to identify a destination in the environment; generating a navigation path comprising waypoints to be followed by the autonomous system to reach the destination, the waypoints being generated based on the characteristics of the entities and defining segmental paths; executing second instructions causing the autonomous system to navigate along the navigation path; and upon navigating from a first waypoint to a second waypoint: accessing updates of the characteristics of the entities located in a vicinity of a corresponding segmental path; generating a sub-path between the first waypoint and the second waypoint based on second information; and navigating along the sub-path to reach the second waypoint.

A system and a method for generating a navigation path for an autonomous system. The method comprises receiving data comprising characteristics of entities, the entities defining an environment in which the autonomous system is configured to operate; receiving first instructions causing the autonomous system to identify a destination in the environment; generating a navigation path comprising waypoints to be followed by the autonomous system to reach the destination, the waypoints being generated based on the characteristics of the entities and defining segmental paths; executing second instructions causing the autonomous system to navigate along the navigation path; and upon navigating from a first waypoint to a second waypoint: accessing updates of the characteristics of the entities located in a vicinity of a corresponding segmental path; generating a sub-path between the first waypoint and the second waypoint based on second information; and navigating along the sub-path to reach the second waypoint.

Methods of and systems for knowledge-based reasoning to establish a list of active objectives by an autonomous system. The method comprises accessing a list of active objectives; accessing a first database populated with static environment properties, the static environment properties defining properties of entities, the entities defining an environment in which the autonomous system is configured to operate; accessing a second database populated with dynamic environment properties comprising third computer-readable instructions generated by the autonomous system based on events having been observed by the autonomous system. Upon observing a new event, a new dynamic environment property is generated based on the new event and coherence checking is executed to assess whether the new dynamic environment property conflicts with at least one of the static environment properties, and, if so, the new dynamic environment property being identified as incoherent.

A method of executing a charging plan for at least one vehicle in a transportation system includes: receiving, at a charging infrastructure control system, operational state and energy consumption information for a plurality of network-enabled vehicles; predicting a geolocation of one or more vehicles of the plurality of network-enabled vehicles in a geographic region; allocating the one or more vehicles of the plurality of network-enabled vehicles to charging infrastructure in the geographic region; and optimizing, at an artificial intelligence system, a parameter of the charging plan based on the prediction of the geolocation of the one or more vehicles in the geographic region.

A method of executing a charging plan for at least one vehicle in a transportation system includes: receiving, at a charging infrastructure control system, operational state and energy consumption information for a plurality of network-enabled vehicles; predicting a geolocation of one or more vehicles of the plurality of network-enabled vehicles in a geographic region; allocating the one or more vehicles of the plurality of network-enabled vehicles to charging infrastructure in the geographic region; and optimizing, at an artificial intelligence system, a parameter of the charging plan based on the prediction of the geolocation of the one or more vehicles in the geographic region.

A transportation system to optimize an operating parameter of a vehicle based on a physiological state of an occupant of the vehicle. The transportation system includes a sensor to sense a physiological condition of the occupant and to output data based on the sensed physiological condition. The sensor includes a movement sensor to detect physical actions of the vehicle occupant. The transportation system further includes a real-time control system to receive and process the data to determine an emotional state of the occupant based on the detected physical actions and to optimize, for achieving a favorable emotional state of the occupant, at least one operating parameter of the vehicle in response to the detected emotional state of the occupant.

A transportation system to optimize an operating parameter of a vehicle based on a physiological state of an occupant of the vehicle. The transportation system includes a sensor to sense a physiological condition of the occupant and to output data based on the sensed physiological condition. The sensor includes a movement sensor to detect physical actions of the vehicle occupant. The transportation system further includes a real-time control system to receive and process the data to determine an emotional state of the occupant based on the detected physical actions and to optimize, for achieving a favorable emotional state of the occupant, at least one operating parameter of the vehicle in response to the detected emotional state of the occupant.

A method of optimizing a state of a rider of a vehicle. The method includes: receiving data from a wearable sensor worn by the rider of the vehicle indicative of an emotional state of the rider; comparing the data received from the wearable sensor to stored wearable sensor data in which quantitative patterns present in the stored sensor data are labelled as emotional states; determining a pattern of an emotional state based on the data received from the wearable sensor and the comparison to the stored wearable sensor data; detecting a change in emotional state of the rider based on a detected change in the data received from the wearable sensor indicative of a change in the emotional state of the rider; and adjusting an operational parameter of the vehicle in real time in response to the detected change in the emotional state of the rider.