An embodiment method of controlling a moving object includes checking profile information of a user who rides in the moving object or status information of the user, checking a degree of risk based on the profile information or the status information of the user, setting an operation mode of the moving object based on the degree of risk, and controlling movement of the moving object based on the operation mode.

A driving control device receives power supply from an accessory battery to operate, controls automatic driving, and outputs a control signal. A steering ECU, a power ECU and a brake ECU instruct a steering mechanism, a PCU and a brake to operate based on the control signal, respectively. An emergency stop switch is operated by an operator. In a case where the emergency stop switch is operated, an interface processing device cuts off a switch to stop the power supply, shuts down the driving control device, and outputs a control signal that causes the steering mechanism, the PCU and the brake to perform an emergency stop operation.

An operation management method according to an embodiment of the present disclosure is a method, performed by an operation management apparatus, for managing operation of a plurality of vehicles for passenger transportation. The operation management method includes selecting, upon detecting an occurrence of a predetermined event, one vehicle from among the plurality of vehicles each traveling a predetermined first route, determining a second route different from the first route, and switching a route traveled by the selected vehicle from the first route to the second route.

A processor unit (3) for model-based predictive control of a vehicle (1) taking into account an arrival time factor is configured to calculate a trajectory for the vehicle (1) based at least in part on at least one arrival time factor, with the trajectory including an entire route (20) to a specified destination (19) at which the vehicle (1) is to arrive, and with the at least one arrival time factor influencing an arrival time of the vehicle (1) at the specified destination (19). Additionally, the processor unit (3) is configured to optimize a section of the trajectory for the vehicle (1) for a sliding prediction horizon by executing a model-based predictive control (MPC) algorithm (13), where the MPC algorithm (13) includes a longitudinal dynamic model (14) of a drive train (7) of the vehicle (1) and a cost function (15) to be minimized.

A traffic planning method for controlling a plurality of vehicles is disclosed, wherein each vehicle occupies one node in a shared set of planning nodes and is movable to other nodes along predefined edges between pairs of the nodes in accordance with a finite set of motion commands. The method comprises: obtaining initial node occupancies of the vehicles; from said finite set of motion commands, determining a mean number of feasible motion commands in a neighborhood of the initial node occupancies; determining a search depth d which makes optimal use of a predefined computational budget; and determining a suitable sequence of motion commands by means of an optimization process which considers the search depth d.

A stopping position control device according to an embodiment includes a sitting position specifying unit configured to specify a sitting position of a user who gets off a vehicle next, the vehicle being subjected to automatic driving control, and a stopping position determination unit configured to determine a stopping position of the vehicle, at which the user gets off the vehicle, corresponding to the sitting position of the user.

A vehicle comprising a safety device comprising a supporting member having a first end provided with a joint part which is pivotally mounted on a side wall of the vehicle, and a second end configured to bear on the ground. The vehicle further comprises an actuator connected to the supporting member and configured to move it relative to the vehicle between an inactive position in which the supporting member is located along the vehicle side wall, with the second end at a distance from the ground, and a safety position in which the supporting member extends between the vehicle side wall and the ground, to limit vehicle roll by means of the second end bearing on the ground.

A method for controlling operation of a vehicle. The method includes: providing information on geographical position of a first (starting) location and a second (destination) location and on length and topography for at least one possible route to be taken by the vehicle from the first location to the second location; calculating, based on vehicle conditions and on length and topography for the at least one possible route, a plan for how to control the powertrain system to achieve an energy efficient performance of the powertrain system if driving the vehicle along said at least one possible route. The method further includes: setting the vehicle in a non-drive off mode that prevents the vehicle from driving off from the first location, and setting the vehicle in a normal operation mode that allows drive off from the first location when calculating the plan has been carried out.

A computer-implemented method performed in a vehicle control unit for controlling motion of a heavy-duty vehicle. The method includes obtaining a vehicle motion request, wherein the vehicle motion request is indicative of a target curvature and a target acceleration, determining a motion support device, MSD, control allocation based on the vehicle motion request, determining a dynamic wheel slip angle limit based on the vehicle motion request, where dynamic wheel slip angle limit increases with a decreasing target acceleration, and controlling the motion of the heavy-duty vehicle based on the MSD control allocation constrained by the dynamic wheel slip angle limit.

A tracking system has a first tracking module and a second tracking module, the position and/or orientation of which relative to each other can be determined by means of a sensor device of the tracking system to determine relative movements of a first vehicle part of a set of vehicles relative to a second vehicle part of the set of vehicles that is movably connected to the first vehicle part. The first tracking module is connected to the first vehicle part and the second tracking module is connected to the second vehicle part.