A computer-implemented method for controlling a vehicle system of a host vehicle merging into a lane. The method includes determining an actual distance between the host vehicle and the one or more remote vehicles. The actual distance is a longitudinal distance between the host vehicle and the one or more remote vehicles. The method includes determining a safe distance for merging into the lane based on a relative position of the host vehicle to the one or more remote vehicles, a speed of the host vehicle, and a speed of the one or more remote vehicles. The safe distance is a second longitudinal distance between the host vehicle and the one or more remote vehicles. The method includes controlling the vehicle system of the host vehicle to assist a merge maneuver by the host vehicle according to the actual distance and the safe distance.

The invention relates to a method for a string comprising a plurality of vehicles platooning by means of vehicle-to-vehicle (V2V) communication, comprising collecting (S1) from a plurality of sources (111, 1021, 1022, 1023) values (OP1-OP3) of operational parameters related to the operation of a first (1) of the vehicles, characterized by determining (S2) based on the operational parameter values (OP1-OP3) a plurality of values (AP1-AP3) of an acceleration parameter indicative of an acceleration of the first vehicle, and selecting (S3) from the acceleration parameter values (AP1-AP3) an extreme value (AP2) indicative of the lowest acceleration of the first vehicle (1).

An example operation includes one or more of detecting, by a server, a target transport operating in an unsafe manner, locating, the by the server, at least one autonomous transport in front of the target transport, and maneuvering the at least one autonomous transport to affect the target transport.

A battery starting and charging system that monitors battery and other sensor readings; tracks vehicle state, determines a charging voltage based on battery temperature and vehicle state; sets the alternator to charge the battery with the charging voltage; determines current collected parameters based on the battery and other sensor readings; and makes vehicle start predictions based on the current collected parameters. The system can also determine whether the vehicle actually started; add the current collected parameters to a set of start events if it started, and to a set of no-start events if it didn't start. The start prediction can also be based on the sets of start and no-start events for one or multiple vehicles. The collected parameters and start predictions can also be based on collected weather data. The system can use a local interconnect network (LIN) alternator with a LIN network.

Systems and methods are described herein for managing communications for a connected vehicle, such as between the connected vehicle and other connected vehicle and/or between the connected vehicle and infrastructure entities, such as providers of services to the connected vehicle. For example, a communication network, such as a network provided by a network carrier, may include various cloud engines or other network-based servers that manage, coordinate, and/or provision communications between the connected vehicle and other parties, such as vehicles, road devices, buildings, and other infrastructure entities.

A vehicle platoon control system performs techniques for controlling a platoon of vehicles through an intersection. The platoon of vehicles is controlled through receiving location data for at least a first vehicle of the platoon of vehicles, map matching the location data for the first vehicle to a road network, identifying an intersection in the road network in response to the matched location data, determining a time period for the intersection, calculating a distance to the intersection for a second vehicle of the platoon of vehicles, calculating a travel time based on the distance to the intersection for the second vehicle of the platoon of vehicles, performing a comparison of the time period for the intersection to the travel time for the second vehicle, and generating a platoon command in response to the comparison.

A variety of methods, controllers and algorithms are described for identifying the back of a particular vehicle (e.g., a platoon partner) in a set of distance measurement scenes and/or for tracking the back of such a vehicle. The described techniques can be used in conjunction with a variety of different distance measuring technologies including radar, LIDAR, camera based distance measuring units and others. The described approaches are well suited for use in vehicle platooning and/or vehicle convoying systems including tractor-trailer truck platooning applications. In another aspect, technique are described for fusing sensor data obtained from different vehicles for use in the at least partial automatic control of a particular vehicle. The described techniques are well suited for use in conjunction with a variety of different vehicle control applications including platooning, convoying and other connected driving applications including tractor-trailer truck platooning applications.

A method and apparatus is provided for controlling the operation of an autonomous vehicle. According to one aspect, the autonomous vehicle may track the trajectories of other vehicles on a road. Based on the other vehicle's trajectories, the autonomous vehicle may generate a pool of combined trajectories. Subsequently, the autonomous vehicle may select one of the combined trajectories as a representative trajectory. The representative trajectory may be used to change at least one of the speed or direction of the autonomous vehicle.

Systems and methods are described herein for managing communications for a connected vehicle, such as between the connected vehicle and other connected vehicle and/or between the connected vehicle and infrastructure entities, such as providers of services to the connected vehicle. For example, a communication network, such as a network provided by a network carrier, may include various cloud engines or other network-based servers that manage, coordinate, and/or provision communications between the connected vehicle and other parties, such as vehicles, road devices, buildings, and other infrastructure entities.

Provided herein relates to the performance testing of automated vehicles, and more particularly to a system and a method for testing cooperative driving capability of an automated vehicle. The system includes a target vehicle, a test road and a control center, where the automated vehicle and the target vehicle are located on the test road, and the control center is located beside the test road. A speed sensor and a binocular camera are provided on the automated vehicle. The speed sensor and the binocular camera are connected to the control center through a wireless communication device, respectively. An on-board device is provided on the target vehicle and is connected to the control center through the wireless communication device. The method provided herein is used to determine the responsiveness of automated vehicles according to the speed relationship and distance between the automated vehicle and the target vehicle.