Systems and methods in accordance with aspects of this disclosure may be provided to determine and calculate an overall driving risk index value corresponding to a driver and scene configuration. The overall driving risk index value may provide driving risk modeling and estimation at a personalized driving level. In some cases, the overall driving risk index value may be determined using a risk-predictive modeling system with weighting and machine learning and may include one or more of: a driver score system, a driver-contextual risk score system, and a conflict index system.

A software application and system may be configured to enable a smartphone or other device to be used by a visually impaired person to receive voice navigation guidance during a directed exploration of an area. Directed exploration uses combinations of location data, directional data, and orientation data from the configured device to determine a direction that user wishes to explore, and only providing narrated results for streets, businesses, and other points of interest in that direction. The system may also utilize sets of wireless indicators positioned within indoor areas to provide accurate positioning to particular locations and floors within buildings.

A parking cruise request is received. A network version starting segment is identified and a route determination algorithm is expended starting at the network version starting segment. When the route determination algorithm is expanded to a new segment, a cost value is determined for the new segment based at least on the likelihood of finding parking on the new segment. Responsive to determining that the likelihood of finding parking along the cruise route does satisfy the threshold probability requirement, map version agnostic identifiers for each segment of the cruise route are generated. Each of the map version agnostic identifiers are coded using at least one coding function to generate coded map version agnostic identifiers. A bloom filter having the coded map version agnostic identifiers as members is generated. A parking cruise route response comprising the bloom filter is provided such that a mobile apparatus receives the parking cruise route response.

Systems and methods for communicating information related to a wearable device are disclosed. Exemplary information includes audio information.

A device that includes a housing configured to couple to an interior of a vehicle. The device further includes a card reader and a user interface. The card reader is configured to receive payment card information for a payment card. The user interface is configured to receive a user input identifying a product, to determine a current location of the device, to determine a vending location where the product is available based on the current location of the device, and to modify a route to a final destination to include the vending location. The user interface is further configured to send an authorization request requests a purchase of the product, to receive an approval message, to generate an authorization token that authorizes a purchase to retrieve the products from the vending location, and output the authorization token.

The present disclosure relates to methods and systems for determining an estimated time of arrival (ETA). The methods may include obtaining feature data related to an on-demand service order; obtain a parallel computing framework; determining a global ETA model based on the feature data and the parallel computing framework; and determining an ETA for a target route based on the global ETA model.

A curbside management system and method for managing curbside use by connected and/or autonomous vehicles that includes one or more computing devices that execute instructions. One or more processors integrate at least a navigation component, an asset verification component, and a curbside management component, configured to generate recommended curbside access destinations for a vehicle associated with the customer and one of which is selected as the final curbside destination for the vehicle.

A user terminal, a transportation vehicle, a server, a computer program product, a signal sequence and a method for sending for a first transportation vehicle. The method includes actuating an actuating device of a first user terminal; sending a wireless message from the user terminal to a server in response thereto; assigning a first transportation vehicle to the user terminal; assigning a first color information to the first user terminal and the assigned first transportation vehicle; and emitting a light by the first transportation vehicle and the first user terminal, the identical color of which is defined based on the first color information.

Systems and methods for navigating a host vehicle. The system may perform operations including receiving, from an image capture device, at least one image representative of an environment of the host vehicle; analyzing the at least one image to identify an object in the environment of the host vehicle; determining a location of the host vehicle; receiving map information associated with the determined location of the host vehicle, wherein the map information includes elevation information associated with the environment of the host vehicle; determining a distance from the host vehicle to the object based on at least the elevation information; and determining a navigational action for the host vehicle based on the determined distance.

Techniques are described for correlating entity identification information with refuse containers being serviced by a refuse collection vehicle (RCV). Location data can be collected by location sensor(s) on the RCV at a time when a triggering condition is present, such as a time when a lift arm is operating to empty a refuse container into the hopper of the RCV. The location data can be provided as input to an algorithm that estimates a container location through a vector offset to account for the distance and direction of the RCV lift arm relative to the location sensor in the RCV. The container location can be correlated with parcel data to determine the parcel that the container was on or near to when it was serviced, and the customer or other entity associated with the parcel can be correlated to the particular container based on the analysis.