Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

Systems and methods for coordinating and controlling vehicles, for example heavy trucks, to follow closely behind each other, or linking to form a platoon. In one aspect, on-board controllers in each vehicle interact with vehicular sensors to monitor and control, for example, relative distance, relative acceleration or deceleration, and speed. In some aspects, vehicle onboard systems supply various data (breadcrumbs) to a Network Operations Center (NOC), which in turn provides data (authorization data) to the vehicles to facilitate platooning. The NOC suggests vehicles for platooning based on, for example, travel forecasts and analysis of relevant roadways to identify platoonable roadway segments. The NOC also can provide traffic, roadway, weather, or system updates, as well as various instructions. In some aspects, a mesh network ensures improved communication among vehicles and with the NOC. In some aspects, a vehicle onboard system may provide the authorization data.

A vehicle control device includes a travel control processing unit configured to control traveling of a host vehicle in accordance with either one of an automated driving mode, where a travel control for the vehicle is performed at least partially automatically by way of automated driving, and a manual driving mode, where traveling of the vehicle is performed based on an operating device which is operated by a vehicle occupant, and an operation amount acquisition unit configured to acquire an operation amount by which the operating device is operated by the vehicle occupant. On the basis of the operation amount acquired by the operation amount acquisition unit when switching from the manual driving mode to the automated driving mode, the travel control processing unit sets a first O/R threshold value for the operation amount at a time of canceling at least a portion of the automated driving mode.

A method for controlling a rolling or a freewheeling mode of a vehicle having a drive-train with an engine, an automatic or automated transmission and controllable means for interrupting force flow in the drive-train. A current vehicle position and a first road stretch, between the current vehicle position and a road stretch section ahead along which a speed limit applies, are determined. While driving with the drive-train engaged, for the road stretch section ahead, a predicted speed variation, if the force flow in the drive-train is interrupted, is calculated and, based this speed variation, a second road stretch is determined which the vehicle, with the force flow interrupted covers, until a value of the predicted speed variation corresponds to a value of the speed limit ahead. With regard to the determined road stretches, a road stretch point for initiating the rolling or freewheeling mode is determined.

A system and a method of controlling a hybrid electric vehicle shift are disclosed. The system includes an engine and a drive motor operating as power sources and a transmission receiving driving torque from one of the engine and the drive motor. A data detector detects a state data for operating the transmission. A vehicle controller calculates a creep torque and an engine setting torque using the state data, determines whether a shift control condition is satisfied based on a position value of an accelerator pedal, calculates an available motor torque using a motor speed at an actual shift start point and a target motor speed when the shift control condition is satisfied, and calculates a first shift input torque using the creep torque, the engine setting torque, the available motor torque, and a first torque apply ratio. The transmission is operated based on the first shift input torque.

A work vehicle includes a first detection unit that detects an optical beam emitted from a beam projector disposed at one end of a reference travel path, a first position deviation calculation section that calculates position deviation by a vehicle body from the reference travel path based on a detection signal from the first detection unit, a second detection unit that detects a work boundary line that occurs due to work travel, a second position deviation calculation section that calculates position deviation of the vehicle body traveling along successive travel paths from the work boundary line based on a detection signal from the second detection unit, and a steering information generation section that, based on the position deviation calculated by the first position deviation calculation section and the second position deviation calculation section, generates steering information for correcting the position deviation.

An apparatus and a method for controlling a stop of a vehicle may include an information collection system collecting at least one of road information, position information, and driving information; and a control system stopping the vehicle on a basis of the information collected by the information collection system in a case of emergency while the vehicle is running on a road.

A control apparatus for a hybrid vehicle including an internal combustion engine, a motor, and a storage battery and configured to charge the storage battery with electric power generated as a result of regenerative braking and electric power generated by using output of the engine. When a planned travel route of the vehicle includes a downhill section, the control apparatus executes a downhill control which decreases the remaining capacity of the storage battery before the vehicle enters the downhill section. In addition, when the downhill section includes a congestion section and the total distance of the congestion section is greater than a predetermined threshold, the control apparatus does not execute the downhill control.

Systems and methods are provided for crowdsourcing a sparse map for autonomous vehicle navigation. In one implementation, a non-transitory computer-readable medium may include a sparse map for autonomous vehicle navigation along a road segment. The sparse map may include at least one line representation of a road surface feature extending along the road segment, each line representation representing a path along the road segment substantially corresponding with the road surface feature, and wherein the road surface feature is identified through image analysis of a plurality of images acquired as one or more vehicles traverse the road segment and a plurality of landmarks associated with the road segment.