The disclosure includes a front, back and lateral RF decals and an electronic state machine decal which are triggered by an encoded cell phone signal to verify and track a vehicle for a valet service, comprising negotiating a drop-off and a pickup of the vehicle from a selected valet provider, reserving a valet parking of the vehicle via the selected valet provider, transacting a fee for the valet parking paid from a user to the valet provider and determining associated services for the vehicle while parked. Furthermore, determining associated services for the vehicle while parked further includes renting the vehicle to a third party for a time the vehicle is to be parked, washing or detailing the vehicle and performing mechanical and other repairs are included. Yet picking up the vehicle from a third party vehicle renter is disclosed.

A method and system for digital authentication is disclosed, in which an owner device associated with a smart lock receives identity information of a user device requesting access to the smart lock. The owner device registers first contract information of the smart contract, for granting access of the smart lock to the user device, on a decentralized trust network, and sends second contract information about the smart contract to the user device. The second contract information comprises validation information of the smart contract indicating an un-validated information of the second contract information. The user device validates the received second contract information against the first contract information on the decentralized trust network, and authenticates the user device with the smart lock using the validated second contract information.

A method executed by an information processing device includes acquiring a score indicating a driving skill of a user who drives a vehicle and executing traffic assistance processing based on the score at the time when the vehicle is parked. An information processing device comprises a controller that acquires a score indicating a driving skill of a user who drives a vehicle, and executes traffic assistance processing based on the score, at a time when the vehicle is parked. A non-transitory storage medium stores instructions that are executable by one or more processors and causes the one or more processors to acquire a score indicating a driving skill of a user who drives a vehicle, and execute traffic assistance processing based on the score, at a time when the vehicle is parked.

Methods, computer-readable media, software, and apparatuses provide a system for making toll payments using toll payment equipment. The system may include a mobile computing device, a toll gateway, and an insurance company computing device. The mobile computing device (e.g., a phone) may be configured to communicate with the toll gateway when a vehicle carrying the mobile computing device passes through the toll gateway. The mobile computing may send a signal to the insurance company computing device to cause the insurance company computing device to pay an appropriate toll or discounted toll (if applicable). The insurance company may maintain an account for a customer from which toll payments are made. In addition, the insurance company computing device may collect information about the vehicle as it passes through the toll gateway. The insurance company computing device may use this information to determine an insurance-related value, such as an insurance premium.

A method for parcel delivery service that permits secure and timely delivery of items to unattended vehicles. The method includes receiving an order to deliver an item to a vehicle. A current location of the vehicle may be determined using vehicle identification information. After the vehicle has been located, the item may be authenticated at the vehicle, and access to the interior of the vehicle may be automatically provided to enable the vehicle to securely receive the item. A corresponding system is also disclosed and claimed herein.

The disclosed computer-implemented method may include matching transportation requests. By collecting and batching match requests over an extended period, a dynamic transportation matching system may identify more efficient matches (e.g., may match transportation requests with greater overlaps). In addition, by dynamically setting and/or extending the upper bound of time that a transportation request may remain batched with other transportation requests, the dynamic transportation matching system may account for contextual information thereby situationally improving matching efficiencies made possible with higher upper bounds while avoiding requestor dissatisfaction, lost conversions, or other inefficiencies that may result from upper bounds that are too high. Furthermore, by providing a notification interface for a transportation requestor device that notifies the requestor when to be ready, a transportation matching application may provide a positive requestor experience while allowing for longer match windows. Various other methods, systems, and computer-readable media are also disclosed.

Various embodiments described herein are generally directed to techniques for managing fraud rules and generating authentication directions according to location data from one or more client devices. Embodiments may include using a payment server informed by a client device application to manage and/or apply fraud rules for transactions. In embodiments, fraud rules may be managed based on location data provided by a client device application and/or location data associated with at least one transaction system. In some embodiments, fraud rules may be managed based on location data provided by multiple client device applications and/or location data associated with at least one transaction system. In some embodiments, rules may be managed for an individual authorization request according to information from at least one client device application and location data for a transaction system associated with the authorization request.

Embodiments provide techniques, including systems and methods, for determining matches of requestors and providers based on a dynamic provider eligibility model. For example, a request matching model uses an estimated arrival time for a requestor and estimated travel times for available providers to a pickup location to determine eligible providers for matching to a ride request. The matching model determines those providers that are far enough away from the request location to allow the requestor time to arrive at the pickup location without matching providers that are too far away, causing delay for the requestor and lowering the efficiency of the system by taking provider system resources from other service areas and increasing provider downtime upon matching. Additionally, embodiments provide more efficient matching processing leading to fewer canceled matched requests, fewer requests for a successful match, and fewer system resources necessary to meet requestor demand.

An example operation may include one or more of parking a transport in an initial space, determining an average time of an event attended by at least one occupant associated with the transport, moving the transport to at least one other space when an elapsed time of the event is less than the average time and when the at least one other space is available and closer to an event location than the initial space, and moving the transport to a final space when the event is completed, and the final space is a location of a device associated with the at least one occupant.

The present disclosure provides a method, non-transitory computer-readable storage medium, and a vehicle tracking system for real-time, dynamic and adaptive an artificial-intelligence based cost negotiation for transportation services. The system trains the artificial-intelligence based system to negotiate with one or more users for transportation services. In addition, the system obtains a first set of data from the one or more users. Further, the system prepares a first cost quotation for one or more transport vehicles. Furthermore, the system sends the first cost quotation to the one or more users. Moreover, the system receives a response from the one or more users for negotiating on cost. Also, the system analyses the response from the one or more users. Also, the system continuously interacts with the one or more users for the cost negotiation. Also, the system sends a final cost quotation to the one or more users.