A method and system is provided for vehicle speed profile generation. The method is performed by receiving data pertaining to driver characteristics and characteristics of trips taken by said driver, creating driver profile by generating skill and aggression parameters for said driver, constructing trip parameters pertaining to said trips taken by the driver by processing the skill and aggression parameters, constructing acceleration dataset for said trips, constructing speed values from the acceleration dataset and processing the speed values for anomalies.

The disclosure herein pertains to determining high occupancy vehicle (HOV) lane eligibility of a vehicle and position of the vehicle with respect to an HOV lane. A method for an on board unit (OBU) of a vehicle may include receiving a traveler information message (TIM) from a roadside unit (RSU), the TIM having a payload including codes indicating lane parameters and HOV criteria of an HOV lane. The OBU determines whether or not the vehicle is HOV lane-eligible and whether or not the vehicle is in the HOV lane, and outputs a corresponding notification.

The present disclosure relates to systems and methods for determining a control parameter associated with a vehicle. The systems may perform the methods to determine a first reference acceleration at a first time point; determine a second reference acceleration at a second time point, wherein the first time point and the second time point are separated by a predetermined time period; obtain a correction coefficient by using a simulation model, which is configured to simulate operation of the vehicle; and determine a target acceleration at the second time point based on the first reference acceleration, the second reference acceleration, and the correction coefficient.

Techniques pertaining to an autonomous police vehicle are described. A method may involve a processor associated with an autonomous vehicle obtaining an indication of violation of one or more traffic laws by a first vehicle. The method may also involve the processor maneuvering the autonomous vehicle to pursue the first vehicle. The method may further involve the processor remotely executing one or more actions with respect to the first vehicle.

A warning device includes a speed detection unit that detects a speed of a vehicle, and a determination unit that determines to perform warning when the speed is higher than a first threshold and determines not to perform the warning when the speed is lower than a second threshold that is lower than the first threshold.

A vehicle control system is for controlling a vehicle, in particular a utility vehicle, in an autonomous operating mode. The vehicle control system includes a virtual driver configured to carry out trajectory planning to generate a trajectory. The vehicle control system is configured to control the vehicle using the trajectory and includes an interface unit, which is configured to obtain the trajectory from the virtual driver and to actuate at least one vehicle actuator of the vehicle control system to control the vehicle using the trajectory, wherein the interface unit functionally connects the virtual driver and the at least one vehicle actuator. A method is for controlling a vehicle, a use of the vehicle control system and a vehicle having a vehicle control system.

An energy management strategy for boats and ships is provided. The aforementioned strategy comprises a strategy for low-load conditions and a strategy for high-load conditions, specifically for the sailing conditions of boats and ships. The output and distribution of energy are dynamically adjusted in accordance with commands, tides, time, locations, weather, hydrologic conditions and other factors may impact the sailing, in order to optimize the energy efficiency of boats and ships.

The present disclosure relates to a vehicle and a control method thereof, and more particularly, to an apparatus and a method for implementing a lane change decision aid system (LCDAS). The LCDAS apparatus includes: a sensing device for sensing whether a target vehicle is in adjacent zones of a subject vehicle, whether the target vehicle is in a rear zone of the subject vehicle, or whether the target vehicle is a large vehicle or a compact vehicle; a processor for determining an activation condition for determining whether an LCDAS function is active/inactive and a warning condition for determining whether a warning of the LCDAS function is issued/un-issued, based on a sensing result of the sensing device; a warning device for issuing the warning to a driver based on a determination result of the processor; and a controller for controlling the sensing device, the processor, and the warning device.

A method is provided for selecting a plurality of program functions for providing repeatedly implemented functions, e.g., in a vehicle, ship or in an aircraft. The method includes determining a first total performance value based on recorded first single performance values and recorded first dependencies, determining a first total performance value based on determined second single performance values and recorded second dependencies, determining a cluster performance from the first total performance value and from the second total performance value, and the cluster performance value or at least one value determined from the cluster performance value is used for selecting the program functions or of other program functions for providing the repeatedly implemented functions.

Techniques pertaining to an autonomous police vehicle are described. A method may involve a processor associated with an autonomous vehicle obtaining an indication of violation of one or more traffic laws by a first vehicle. The method may also involve the processor maneuvering the autonomous vehicle to pursue the first vehicle. The method may further involve the processor remotely executing one or more actions with respect to the first vehicle.