Contemporary navigation systems are often tasked with routing a vehicle to a destination, but are poorly equipped to assist with finding a vacancy of a parking opportunity in which the vehicle may be parked. Static information, such as enumeration of parking garages and curbside parking meters, may be frustrating if such parking opportunities have no vacancies. The determination of vacancies with certainty may be difficult to achieve due to the characteristic volatility of parking, in which vacancies may be taken in seconds. Presented herein are navigation device configurations involving probabilistic evaluation of parking routes in a vicinity of a destination that may be generated and compared, optionally weighted by various factors, to identify a parking route with parking opportunities that collectively present a high probability of vacancy as compared with other parking routes, which may be presented to the user and/or appended to a current route of an autonomous vehicle.

A parking assist system includes an automated driving vehicle and a management device configured to transmit, to the automated driving vehicle, a guide path to a parking position and a parking start instruction. The automated driving vehicle includes an information transmission unit that transmits, to the management device, travelable information in response to receiving predetermined data from the management device. The management device includes a data transmission unit that transmits the predetermined data and a driving setting unit that determines, based on the travelable information transmitted from the at least one automated driving vehicle, whether parking of the automated driving vehicle is possible and instruct the automated driving vehicle to start parking in response to determining that parking of the automated driving vehicle is possible.

In one example implementation, a computer-implemented method includes receiving, by a host processing device, timestamps from a vehicle processing system of a target vehicle, the timestamps being determined based at least in part on parking area data for a target parking area and vehicle data for the target vehicle. The method further includes calculating, by the host processing device, an arrival rate and a service rate based on the timestamps. The method further includes calculating, by the host processing device, a probability of parking availability for the target parking area based at least in part on the arrival rate and the service rate. The method further includes controlling, by the host processing device, the vehicle based at least in part on the probability of parking availability for the target parking area.

A moving body support system supports a moving body that recognizes a marker arranged in a predetermined area. Based on positions of a plurality of markers arranged in the predetermined area, the moving body support system acquires a position of a target marker being a target to be recognized by the moving body. The moving body support system further acquires information indicating brightness at the position of the target marker. When the brightness at the position of the target marker is less than a threshold, the moving body support system selects, based on positions of one or more lights present in the predetermined area, a target light present at a position capable of illuminating the target marker and increases a light intensity of the target light as compared with a case where the brightness is equal to or greater than the threshold.

Signals usable to determine a path of a vehicle towards a particular stopping point in a vicinity of a destination are detected from an individual authorized to provide guidance with respect to movements of the vehicle. Based at least in part on the signals and a data set pertaining to the external environment of the vehicle, one or more vehicular movements to be implemented to proceed along the path are identified. A directive is transmitted to a motion control subsystem of the vehicle to initiate one of the vehicular movements.

A method for optimizing a parking spot database is provided including determining a utility score of a candidate route to a candidate parking spot of a plurality of parking spots of a parking spot database based on an availability status of a non-candidate parking spot along the candidate route, and selecting the candidate route from a plurality of candidate routes based on the utility score.

A method comprises determining a plurality of available parking spaces within a threshold distance of a destination; determining an initial utility score for each of the available parking spaces based on a distance between each of the available parking spaces and the destination; determining a safety score associated with each of the available parking spaces based on crime data and a distance between each of the parking spaces and a major street, an entrance to a parking facility in which each available parking space is located, or an entrance to a point of interest; determining an adjusted utility score for each of the available parking spaces based on the initial utility score and the safety score associated with each of the available parking spaces; and selecting a parking space among the plurality of available parking spaces based on the adjusted utility score for the parking space.

Embodiments of the present invention provide a communicable integration of a user network of devices and a vendor system. Embodiments receive, at the vendor system from the user network of devices, a request for provisioning of products by a vendor; determine a provisioning location for provisioning of the products by the vendor; continuously identify a real-time location of the user via the one or more components of the user network of devices; continuously calculate a real-time first limit based on the continuously identified current location of the user and the provisioning location; calculate a total time to provision the products comprising a sum of a product preparation time and the real-time first limit; and optimize delivery of the products based on the total time to provision and the real-time location of the user.

Personalized insurance systems, including vehicle-based devices and modules, insurance system servers, personal mobile devices, and other computing devices, may operate individually or in combination to determine and implement personalized vehicle insurance policies. Such policies may be driver-specific, time-specific, vehicle-specific, and/or driving-trip specific. Various driver data, vehicle data, and driving trip data may be received and analyzed in order to determine usage-based insurance parameters for vehicle driving and non-driving activities. Personalized vehicle insurance policies may be presented to and accepted by drivers, after which the drivers and one or more associated vehicles may be monitored to detect and store vehicle usage data in accordance with the personalized insurance policy.

A method of controlling a parking process of a vehicle includes the following steps: identifying a driver; learning driver parameters during a manual parking process performed by the driver, and associating the driver parameters with the identified driver; determining parking parameters based on the driver parameters; and controlling, based on the parking parameters, an autonomous parking process of the vehicle performed by a parking assistance system.