Disclosed are various techniques to optimize load delivery management of multiple vehicles along route. The optimization can involve evaluating vehicle-in-front information along with look ahead data to determine a recommended speed target and/or idle stop times and durations. The optimization can also involve determining bottleneck conditions from one or more vehicles and/or one or more infrastructure conditions and providing one or more recommended actions in response thereto.

In a constant-speed traveling mode or a follow-up traveling mode, reduction of fuel consumption and improvement of drivability are both achieved. An ECU 110 has an ISG connected to an engine and a battery connected to the ISG. The ECU 110 has an ISG control unit 606 that performs control for supplying power to the ISG from the battery to rotationally drive the ISG, or to drive the ISG to generate power for charging the battery. In one cycle of a traveling mode until completion of deceleration traveling after acceleration traveling is started so as to achieve a target vehicle speed, the ISG control unit 606 drives the ISG such that a remaining charge amount of the battery falls within a set range at completion of the deceleration traveling, and a traveling acceleration/deceleration falls within a predetermined requested acceleration/deceleration.

An apparatus comprising an interface, a memory and a processor. The interface may be configured to receive sensor data samples during operation of a vehicle. The memory may be configured to store the sensor data samples over a number of points in time. The processor may be configured to analyze the sensor data samples stored in the memory to detect a pattern. The processor may be configured to manage an application of brakes of the vehicle in response to the pattern.

A method for inertia drive control with torque sharing of an eco-friendly vehicle includes when an event in which the eco-friendly vehicle being decelerated with the inertia drive control is detected; calculating, by a controller, a distance variable and a speed variable according to the event; calculating, by the controller, a deceleration torque, which is required for an inertia drive of the eco-friendly vehicle, by dividing into a motor torque and a hydraulic braking torque; and performing, by the controller, inertia drive cooperative control in which the deceleration is performed without driver intervention with motor control through the motor torque and hydraulic braking control through hydraulic braking torque.

A control system of a vehicle includes: a target speed module configured to, using a parametric driver model and based on first driver parameters, second driver parameters, and vehicle parameters, determine a target vehicle speed trajectory for a future predetermined period; a driver parameters module configured to determine the first driver parameters based on conditions within a predetermined distance in front of the vehicle; and a control module configured to adjust at least one actuator of the vehicle based on the target vehicle speed trajectory and a present vehicle speed.

A travel route observation and comparison system for a vehicle includes one or more processors and a memory communicably coupled to the one or more processors. The memory stores a display control module including instructions that when executed by the one or more processors cause the one or more processors to control at least one display device to simultaneously display at least a first visual representation of at least a portion of a first travel route currently being traveled by the vehicle, and a second visual representation of the at least a portion of the first travel route during a previous traveling of the first travel route.

A platoon driving control system of a vehicle includes a detector configured to detect an obstacle positioned in a front according to a driving direction of a vehicle included in a platoon; a processor; and a memory coupled to the processor and storing an algorithm that, when executed by the processor, causes the processor to: determine a braking strategy of the vehicle included in the platoon based on a driving speed of the platoon, and control a driving of the platoon based on the obstacle detected by the detector and the braking strategy.

The present disclosure relates to a vehicle and associated method capable of effectively responding to a cut-in of a nearby vehicle in various road conditions. The method includes obtaining driving situation information; drawing an integrated lane by selectively applying a lanelink, a lainside, and a point level path (PLP) based on the obtained driving situation information; determining a cut-in target based on the integrated lane and a predicted path of each of at least one nearby vehicle; calculating a control point to be followed for driving control of an ego vehicle based on an intersection of a predicted path of the cut-in target and the integrated lane; generating a speed profile and a driving path based on the calculated control point; and performing driving control based on a parameter corresponding to the speed profile and the driving path.

The technology relates to planning trajectories for self-driving vehicles in order to transport passengers or cargo from a pickup location to a destination. Trajectory planning includes generating a speed plan for an upcoming portion of the trip in view of one or more constraints. The constraints may be due to proximity to an adjacent vehicle or other road user, and can include projected overlaps between the vehicle and other objects in the vehicle's nearby environment. Certain constraints may be binary or otherwise discontinuous in nature, in which a condition either exists at a given point in time or it does not. Noise in sensor data or prediction models may trigger such binary conditions, which in turn may cause the vehicle to alter the speed plan. Aspects of the technology employ permeable speed constraints that enable the vehicle to avoid problems associated with discontinuous constraints.

An apparatus of determining an optimal velocity of a vehicle, may include an information receiving unit configured to receive and provide vehicle traveling information and traveling environment information which are state variables representing vehicle states required to determine a target velocity for optimizing vehicle fuel economy; and an optimal velocity determination unit configured to determine the target velocity in accordance with a vehicle traveling environment by use of a state variable and reward estimation model and a Q table having values according to the state variables and a control input, from the vehicle traveling information and the traveling environment information provided by the information receiving unit, and a method of determining an optimal velocity of a vehicle.