Disclosed is a method for joint parking, the method including selecting a number of target vehicles participating in the joint parking by a reference vehicle, generating joint parking information based on the selected number of the joint parking vehicles by the reference vehicle, transmitting the generated joint parking information to the target vehicle, and controlling the joint parking to be performed based on the joint parking information.

A communication device includes a communication unit configured to receive first path information from a first vehicle and to receive second path information from a second vehicle, and a processor configured to determine a possibility of the first and second vehicles entering a predetermined area based on the first and second path information, and based on the possibility being greater than a reference, transmit a message for controlling at least one of the first vehicle or the second vehicle through the communication unit to allow the first and second vehicles to enter the predetermined area at different time points.

Provided herein is a system and method of a vehicle. The system comprises one or more sensors, processors, maps, and a memory storing instructions that, when executed by the one or more processors, causes the system to perform: monitoring a location of the vehicle while driving; detecting a sign while the vehicle is driving; capturing, frame-by-frame, data of the sign until the sign disappears from a field of view of the sensor; synchronizing each frame of the data with the location of the vehicle; determining a location of the sign based on the frame-by-frame data; in response to determining, at a frame immediately before the sign disappears from the field of view of the sensor, that the vehicle is driving towards the sign, uploading the detected sign and the location of the sign onto the one or more maps; and implementing a driving action based on the sign.

A method for capturing, by a host vehicle camera, an image of a leading vehicle, estimating a leading vehicle dimension and a first distance between a host vehicle and the leading vehicle in response to the image, receiving a data indicative of a traffic signal location and a traffic signal cycle state, determining a second distance between the host vehicle and the traffic signal, estimating a traffic signal view obstruction in response to the leading vehicle dimension, the first distance, and the second distance, and generating a graphical user interface indicative of the traffic signal cycle state in response to the traffic signal view obstruction.

A method for capturing, by a host vehicle camera, an image of a leading vehicle, estimating a leading vehicle dimension and a first distance between a host vehicle and the leading vehicle in response to the image, receiving a data indicative of a traffic signal location and a traffic signal cycle state, determining a second distance between the host vehicle and the traffic signal, estimating a traffic signal view obstruction in response to the leading vehicle dimension, the first distance, and the second distance, and generating a graphical user interface indicative of the traffic signal cycle state in response to the traffic signal view obstruction.

An autonomous driving method, an autonomous driving apparatus, a computer-readable storage medium, and a computer program product are provided. The method includes: receiving first driving-related information of a first road section ahead of a road on which a first vehicle currently drives and information about a parking waiting area that are sent by a network side device, where the parking waiting area is used to park the first vehicle before the first vehicle drives into the first road section (S304); then determining, based on the first driving-related information, that the first road section does not meet an autonomous driving condition requirement of the first vehicle (S305); finally, controlling the first vehicle to drive into the parking waiting area (S306).

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring a dedicated roadway the runs in parallel to a railroad. In some implementations, a system includes a central server, an interface, and sensors. The interface receives data from a railroad system that manages the railroad parallel to the dedicated roadway. The sensors are positioned in a fixed location relative to the dedicated roadway. Each sensor can detect vehicles in a first field of view on the dedicated roadway. For each detected vehicle, each sensor can generate sensor data based on the detected vehicle in the dedicated roadway and the data received at the interface. Each sensor can generate observational data and instruct the detected vehicle to switch to an enhanced processing mode. Each sensor can determine an action for the detected vehicle to take based on the generated observational data.

A method for selecting at least one connection pattern drivable by road users using a control device. Trajectory data are received from at least one area. On the basis of the received trajectory data, starting points and end points of drivable trajectories are determined. All the connection patterns between the starting points and the end points of the drivable trajectories are determined in the form of connecting lines. The determined connection patterns are filtered by at least one filter. Connection patterns remaining after filtering are compared with route profiles from the trajectory data. For each remaining connection pattern a number of route profiles which correspond to the connection pattern are counted. A connection pattern with the highest number of matching route profiles is selected. A control device, a computer program, and a machine-readable storage medium are also described.

An apparatus for predicting traffic information includes a storage storing a traffic information prediction model, and a controller configured to calculate a congestion transfer rate W.sub.AB of a target section based on a volume of traffic and vehicle density and input the congestion transfer rate, a speed of the target section, a speed of a section in front of the target section, and a speed of a section behind the target section to the traffic information prediction model to estimate traffic information of the target section.

This invention involves the effect of multiple rules of the road at different elevation profiles on the speed constraints and therefore the overall fuel efficiency. A vehicle designed to optimize fuel consumption that is comprised of the rules of the road that determine maximum speed, minimum speed, stop signs, streetlights, and/or changes in other rules that determine the allowable speeds of the road, a localization mechanism, and an optimization engine to optimize the fuel economy by selecting a speed profile within that maintains the vehicle within the assigned range of speeds and minimizes fuel consumption. A wide variety of methods that typically are used to optimize the fuel efficiency of human drivers operating standard vehicles can also be applied towards autonomous vehicles driving at different speed constraints and with different changes in the elevation.