The present invention relates to systems and methods that allocate, arrange, and distribute certain types of functions and intelligence, for connected automated vehicle highway (CAVH) systems, to facilitate vehicle operations and controls, to improve the general safety of the whole transportation system, and to ensure the efficiency, intelligence, reliability, and resilience of CAVH systems. The present invention also provides methods to define CAVH system intelligence and its levels, which are based on two dimensions: the vehicle intelligence and infrastructure intelligence.

Provided are an electronic control device and a vehicle control system capable of reducing a calculation amount and improving reliability of a travel route of a vehicle as compared with a conventional course setting device. An electronic control device 200 is mounted on a vehicle 100. The electronic control device 200 includes a map processing device 210 connected to an external sensor 110 that recognizes an obstacle around the vehicle 100 and a position sensor 120 that acquires position information of the vehicle 100 in a manner capable of information communication. The map processing device 210 includes a storage device 212 that stores map information including travel route information of the vehicle 100. The map processing device 210 records a travel route along which the vehicle 100 avoids an obstacle in the storage device 212, classifies the obstacle into a permanent obstacle and a transient obstacle, and updates the travel route information with an avoiding route based on the travel route along which the vehicle 100 has avoided the permanent obstacle.

A vehicle is autonomously driven in an environment where a first road for vehicles running in a first direction and a second road for vehicles running in a second direction, different from the first direction, are provided alongside each other, and where a first parking space that is entered from the first road and exited to the first road is set and a second parking space that is entered from the second road and exited to the second road is set. When the vehicle is temporarily parked in the first parking space and a running direction of the vehicle heading for the next destination after being parked is the second direction, the vehicle is transferred from the first parking space to the second parking space by autonomous driving after a user of the vehicle gets out of the vehicle.

Disclosed herein are a cooperative driving method based on driving negotiation and an apparatus for the same. The cooperative driving method is performed by a cooperative driving apparatus for cooperative driving based on driving negotiation, and includes determining whether cooperative driving is possible in consideration of a driving mission of a requesting vehicle that requests cooperative driving with neighboring vehicles, when it is determined that cooperative driving is possible, setting a responding vehicle from which cooperative driving is to be requested among the neighboring vehicles, performing driving negotiation between the requesting vehicle and the responding vehicle based on a driving negotiation protocol, and when the driving negotiation is completed, performing cooperative driving by providing driving guidance information for vehicle control to at least one of the requesting vehicle and the responding vehicle.

A system includes: one or more storage devices that store specific position information indicating a specific position where an autonomous vehicle has a possibility to require remote support; and one or more processors configured to set a first target route as a target route, determine whether an abnormality has occurred in a remote support system, when the abnormality is detected in the remote support system, search for an alternative route that is a route to the destination based on the specific position information, the alternative route having a smaller number of the specific positions to be passed through by the autonomous vehicle than the first target route, when the alternative route is found, change the target route from the first target route to the alternative route, and control the autonomous vehicle.

Systems, methods, and apparatus related to determining ice hazards on roads based on crowdsourced data from vehicles. In one approach, a server receives weather data and location data from each of several vehicles. The weather data is timestamped when received. The server determines, using the location data, a geographic region in which each vehicle is located. The weather data is stored in a database associated with the respective geographic region for the vehicle that transmitted the weather data. The server periodically scans the database to select weather data received over a selected time period. The selected data is analyzed to determine whether an ice hazard exists for one or more regions. A communication is sent to vehicles in those regions having the determined ice hazard.

A vehicle includes a communicator configured to receive driving information from a management server, a controller configured to drive the vehicle on the basis of the driving information from the communicator, a manager configured to manage a compartment of the vehicle in which a service user receives a service from a service provider, and an interface set up in association with service-related information provided by the service provider and the compartment.

The invention relates to a method for an automated starting of a means of transport (80) at a light-signal system (70), comprising: recording an image of the light-signal system (70) by means of a first optical sensor (30) of the means of transport (80), determining a signaling state of the light-signal system (70) by means of the recorded image, executing an automated starting process of the means of transport (80) in response to a signaling state representing and/or announcing a travel clearance, determining a user action of a driver of the means of transport (80) for plausibility checking of the starting process, and depending on a result of the plausibility check, automatically continuing or terminating of the starting process.

Telematics data, including geolocation data, may be collected, monitored, measured, and/or generated by one or more processors communicatively coupled with memory and associated with a mobile, machine, and/or vehicle device. Telematics data may also be collected from one or more external vendors. Geolocation data pertaining to the mobile, machine and/or vehicle device may be analyzed to derive valuable information on the presence, dwell times, and movements of human beings. For example, a rate of human beings, such as, e.g., the cars in which they are driving or riding, traversing an area at specific times of day and days of the week can be inferred. In some cases, this information may also be used to plan and adapt highway systems, construction plans, and business plans. Significant reductions in vehicle emissions can be achieved, congestion can be limited, safety can be enhanced, and travel times reduced by helping commuters and other drivers choose uncongested routes to their destinations.

An approach is provided for estimating lane pavement conditions based on street parking events. For example, the approach involves map-matching a vehicle park-in event, a vehicle park-out event, or a combination thereof to a lane of a road segment. The approach also involves calculating an adjusted pavement condition of the lane based on the map matched park-in event, the map-matched park-out event, or a combination thereof, wherein the adjusted pavement condition accounts for a reduction of a weather effect on a pavement condition of the lane caused by one or more vehicles parking in the lane. The approach further involves providing the adjusted pavement condition of the lane as an output.