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.

A system for collecting traffic information includes a vehicle having at least one sensor for collecting dead reckoning (DR) information, and a global positioning system (GPS) receiver configured to receive GPS information, and a server that maps the DR information and the GPS information to a server map to generate first map matching information, and collects the first map matching information as the traffic information when it is determined that a version of a software platform of the vehicle is a latest version and all the DR information and the GPS information are received.

An autonomous vehicle includes a control system for remotely controlling the same. The autonomous vehicle includes an autonomous driving control apparatus having a processor that is configured to transmit an emergency request message to a control system when an emergency occurs to an emergency patient in the vehicle during autonomous driving, and the autonomous driving control apparatus is configured to direct the autonomous vehicle to follow a path with a shortest estimated required time among a contact path with an ambulance, a contact path with a neighboring vehicle capable of first aid, or a travel path to a hospital depending on remote control of the control system.

A drive assistance apparatus predicts demand for vehicles in each area including a driving route, based on a demand prediction model for predicting the demand in the area. The drive assistance apparatus also predicts the frequency of occurrence of an obstacle in each of the regions obtained by dividing the area, based on a frequency model for predicting the frequency of occurrence of the obstacle in the region, and generates a driving route of the vehicle, based on the predicted demand in the area and the predicted frequency of occurrence of the obstacle.

A method for controlling a flow of traffic on a roundabout, wherein the flow of traffic is controlled by a traffic control unit by which road users that have entered the roundabout and/or are approaching the roundabout in order to enter it are networked in a network and communicate by way of messages, and wherein, in order to enter, a road user transmits a message containing a request to the traffic control unit provides for entry by the respective road user to be preceded by the flow of traffic that is on the roundabout being determined on the basis of the messages, wherein a message containing a control signal is generated for the respective entering road user in order to communicate whether and/or along which route the road user can travel on the roundabout.

Techniques are disclosed herein for providing guidance for autonomous vehicles in areas of low network connectivity, such as rural areas. According to an embodiment, a guidance system receives a request to exchange data with a vehicle within a specified radius thereof over a wireless connection (e.g., a radio frequency protocol-based connection). The data is stored by the guidance system and is indicative of navigation information within the specified radius. The guidance system transmits the stored data to the vehicle. The guidance system also receives, from the vehicle, data indicative of navigation information for a path previously passed by the vehicle.

Embodiments herein include a method executable by a processor coupled to a memory. The processor is local to a vehicle can operable to determine initial location and direction information associated with the vehicle at an origin of a trip request. The processor receives one or more frames captured while the vehicle is traveling along a navigable route relative to the trip request and estimates an execution time for each of one or more computations respective to an analyzing of the one or more frames. The processor, also, off-loads the one or more computations to processing resources of a cloud-based system that is in communication with the processor of the vehicle in accordance with the corresponding execution times.

An automatic parking system instructs a plurality of autonomous driving vehicles in a parking lot such that each autonomous driving vehicle parks in a target parking space within the parking lot, and includes an instruction change target vehicle specifying unit configured to, in a case where the autonomous driving vehicle becomes a failed vehicle due to abnormality or communication interruption during automatic driving according to instruction, specify an instruction change target vehicle from normal autonomous driving vehicles based on parking lot map information, a location of the failed vehicle, and a location of the normal autonomous driving vehicles, and a vehicle instruction unit configured to, in a case where the instruction change target vehicle is specified, issue a route change instruction, an evacuation instruction, or a stop instruction to the instruction change target vehicle, such that the instruction change target vehicle gets away from the failed vehicle.

A method for regulating traffic emissions across a street network comprises calculating, by an external control entity, a real-time location-dependent immission load across the street network based on at least one of environmental data, traffic data and configuration data of the street network, providing, by motor vehicles using the street network, navigation data characterizing a route of each respective motor vehicle along the street network and emission data characterizing exhaust emission levels of each respective motor vehicle along its route, and calculating an optimized driving route for each motor vehicle along the street network based on the calculated immission load and the exhaust emission levels of the motor vehicles. The optimized driving route is calculated by the external control entity and transmitted to each motor vehicle via a wireless communication network, or wherein the optimized driving route is calculated by an internal control unit of each respective motor vehicle.

A method, system and apparatus for accessing an internal database that includes at least one payroll database, identifying an individual, a first location, a second location, a future date, and a time of day. Responsive to identifying the individual, the first location, the second location, the date, and the time of day, determining a predicted travel time for the individual between the first location and the second location at the time of day on the future date.