An automated swarming vehicle test environment includes a vehicle automation platform (VAP), a first swarming vehicle, and a second swarming vehicle. In some embodiments, a first test plan is created by a VAP for a first swarming vehicle. The first test plan comprises: a time series of vehicle trajectory data for the first swarming vehicle, and position data for the first swarming vehicle relative to a test vehicle. The first test plan is sent from the VAP to the first swarming vehicle. In some embodiments, a second test plan is created by the VAP for a second swarming vehicle. The second test plan comprises: a time series of vehicle trajectory data for the second swarming vehicle, and position data for the second swarming vehicle relative to the test vehicle. The second test plan is sent from the VAP to the second swarming vehicle.

A platooning system for causing multiple vehicles to travel in a platoon includes: a management device configured to set an order of the vehicles in the platoon; a transmission device mounted on each vehicle and configured to transmit driving information regarding a driving state of the vehicle; a reception device mounted on each vehicle and configured to receive the driving information of at least one of the vehicles;

and a control device mounted on each vehicle and configured to control an operation of the vehicle based on the driving information, wherein the management device is configured to arrange the vehicles from a front end to a rear end with respect to a travel direction in an ascending order of driving performances of the vehicles.

A system for creating a digital map for driver assistance systems of a vehicle, includes a communications unit for exchanging messages between vehicles. A position acquisition unit acquires the position of the individual vehicle. A map unit stores and processes a digital map. A detection unit detects ambiguities of a driving situation in relation to a position in the digital map. Upon detection of an ambiguity, a message including map data and/or a warning message is/are output.

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.

There is presented a method for controlling an activation threshold of a safety system of a vehicle. The method comprises receiving map data from a remote data repository, said map data comprising a geographical location of a dynamic object located in a surrounding area of an expected path of the vehicle, determining a geographical location of the vehicle by means of a localization system of the vehicle, and lowering an activation threshold value of the safety system when the geographical location of the vehicle is within a predefined distance from the dynamic object. The presented method provides for an efficient means for preparing e.g. an emergency brake assist system of a vehicle in potentially critical situations.

A braking control method for a braking system of a vehicle is provided according to an exemplary embodiment of the disclosure. The braking control method comprises: obtaining a total braking distance and a first speed of the vehicle; obtaining braking delay information related to the braking system, wherein the braking delay information includes first time information and second time information, the first time information reflects a delay time of a braking signal, and the second time information reflects a preparation time for performing a braking operation according to the braking signal by the braking system; obtaining deceleration information according to the total braking distance, the first speed and the braking delay information; generating the braking signal according to the deceleration information; and performing the braking operation according to the braking signal.

A system and method for detecting behavioral anomalies among a fleet including a plurality of connected vehicles. The method includes generating at least one fleet behavioral profile for the fleet using a first set of data, wherein creating each fleet behavioral profile includes training a machine learning model using at least a portion of the first set of data, wherein the at least a portion of the first set of data relates to communications with and among the plurality of connected vehicles; applying the at least one fleet behavioral profile to detect at least one anomaly in a second set of data for the fleet wherein the second set of data includes data related to communications with and among the plurality of connected vehicles; and performing at least one mitigation action when the at least one anomaly is detected.

A system and method are provided for operating a powertrain control system. The method includes receiving data measured from a plurality of sensors, the measured data relating to distance dependent speed values, and receiving information from one or more vehicle modules, the vehicle module information relating to distance independent speed values. The method further includes building a speed trajectory profile for a horizon window that includes a plurality of speed change regions represented by at least some distance dependent speed values or at least some distance independent speed values, and creating a synthesized speed profile for the horizon window by processing the speed trajectory profile. The synthesized speed profile optimizes efficiency of the powertrain control system at each of the plurality of speed change regions.

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 computer-implemented method for controlling a host vehicle relative to a first vehicle positioned immediately ahead of the host vehicle, including, detecting a second vehicle driving behind the host vehicle and in the same lane as the host vehicle. The method including detecting a braking operation initiated by the vehicle system of the host vehicle. The braking operation causes the host vehicle to decelerate based on an acceleration control rate in order to maintain a preceding headway reference distance with the first vehicle. The method includes, determining a relative rear headway distance between the host vehicle and the second vehicle with respect to a rear headway reference distance and modifying the acceleration control rate based on the relative rear headway distance and the rear headway reference distance. Further, the method includes controlling the vehicle system according to the modified acceleration control rate.