Methods and systems of determining and controlling a vehicle travel speed on a roadway determine a grade of the roadway at defined intervals along the roadway; calculate a maximum straight line vehicle speed for each defined interval based on the determined grade and vehicle performance data; determine a radius of curvature and a superelevation of the roadway for each defined interval; determine a lateral friction coefficient for a vehicle/roadway system; calculate a maximum cornering vehicle speed for each defined interval based on the curvature, superelevation, and lateral friction coefficient; calculate the travel speed for each defined interval based on the maximum straight line vehicle speed and the maximum cornering vehicle speed; and control the speed of the vehicle so that it does not exceed the calculated travel speed for each defined interval.

A system comprises fuel consumption prediction circuitry and user interface circuitry. The fuel consumption prediction circuitry is operable to receive trip constraints for a trip to be made by a vehicle, and vehicle information for the vehicle. The fuel consumption prediction circuitry is operable to generate, based on the trip constraints and the vehicle information, a first trip option having a first predicted travel time and a first predicted fuel consumption, and a second trip option having a second predicted travel time and a second predicted fuel consumption. The fuel consumption prediction circuitry is operable to communicate the first trip option and the second trip option to user interface circuitry. The user interface circuitry is operable to receive the first trip option and the second trip option and present the options to a user.

An electric power supply apparatus includes a first power supply that supplies electric power to a first control device configured to control a vehicle, a second power supply that supplies electric power to a second control device configured to control the vehicle, a starter switch configured to be operated by an occupant, and an activation control unit that starts or stops the vehicle based on a change in voltage of the starter switch that occurs when the starter switch is operated, wherein the starter switch is in a state of being connected to the first power supply and the second power supply, and when the starter switch is operated, electric power is supplied to the starter switch from at least one of the first power supply and the second power supply.

Aspects of the disclosure relate to generating a speed plan for an autonomous vehicle. As an example, the vehicle is maneuvered in an autonomous driving mode along a route using pre-stored map information. This information identifies a plurality of keep clear regions where the vehicle should not stop but can drive through in the autonomous driving mode. Each keep clear region of the plurality of keep clear regions is associated with a priority value. A subset of the plurality of keep clear regions is identified based on the route. A speed plan for stopping the vehicle is generated based on the priority values associated with the keep clear regions of the subset. The speed plan identifies a location for stopping the vehicle. The speed plan is used to stop the vehicle in the location.

A method for the performance-enhancing driver assistance of a road vehicle driven on a track. The method comprises the steps of defining a dynamic model of the road vehicle, determining the actual position and orientation of the road vehicle, detecting a plurality of space data concerning the structure of the track, detecting a plurality of dynamic data of the vehicle, determining a passing through point of the road vehicle arranged in front of the road vehicle, solving an optimum control problem aimed at optimizing a cost function, taking into account, as boundary conditions, the plurality of environmental data, the actual position and the passing through point, so as to compute a mission optimizing the cost function, and driving the vehicle in an autonomous manner so as to show to the driver the mission optimizing the cost function.

A method for the performance-enhancing driver assistance of a road vehicle driven by a driver. The method comprises the steps of detecting a plurality of dynamic data (DD) of the vehicle by means of a control system, suggesting to the driver, by means of an interface device and depending on the plurality of dynamic data, one or more corrective actions to be carried out in order to accomplish a mission optimizing a cost function, and estimating the driving ability of the driver in order to obtain a driver rating value, based on which the corrective actions to be suggested are to be changed.

A method for the performance-enhancing driver assistance of a road vehicle. The method comprises the steps of defining a dynamic model of the road vehicle, determining the actual position and orientation of the road vehicle, detecting a plurality of environmental data, detecting a plurality of dynamic data, determining a passing through point of the road vehicle arranged in front of the road vehicle, solving an optimum control problem aimed at optimizing a cost function), taking into account, as boundary conditions, the plurality of environmental data, the actual position and the passing through point, so as to compute a mission optimizing the cost function from the actual position of the vehicle to the passing through point of the vehicle.

The subject matter described in this specification is generally directed control architectures for an autonomous vehicle. In one example, a reference trajectory, a set of lateral constraints, and a set of speed constraints are received using a control circuit. The control circuit determines a set of steering commands based at least in part on the reference trajectory and the set of lateral constraints and a set of speed commands based at least in part on the set of speed constraints. The vehicle is navigated, using the control circuit, according to the set of steering commands and the set of speed commands.

In one embodiment, a driving environment is perceived based on sensor data obtained from a variety of sensors, including determining a current speed of an ADV. In response to a request for driving with an idle speed, a speed guideline is generated based on an idle speed curve in view of the current speed of the ADV. A speed planning operation is performed by optimizing a cost function based on the speed guideline to determine the speeds of the trajectory points at different points in time along a trajectory planned to drive the ADV. One or more control commands are then generated to control the ADV with the planned speeds along the planned trajectory, such that the ADV moves according to an intended idle speed.

A vehicle travel control system for a vehicle may include: a launch profile generator to generate a target torque profile or a target speed profile based on monitored driving information of a host vehicle and a target vehicle; and a controller to control a speed or an acceleration of the host vehicle based on the generated profile. In particular, the launch profile generator analyzes an intention of a driver of the host vehicle when the driver intervenes at least one of the speed, acceleration or deceleration of the host vehicle being controlled, and the launch profile generator further revises the target torque profile or the target speed profile when the analyzed intention represents preferences of the driver such that the controller controls the host vehicle based on the revised profile.