View source for 17848723. DECENTRALIZED PARKING FULFILLMENT SERVICE simplified abstract (TOYOTA JIDOSHA KABUSHIKI KAISHA)

=DECENTRALIZED PARKING FULFILLMENT SERVICE=


==Organization Name==

[[:Category:TOYOTA JIDOSHA KABUSHIKI KAISHA|TOYOTA JIDOSHA KABUSHIKI KAISHA]]


[[Category:TOYOTA JIDOSHA KABUSHIKI KAISHA]]

==Inventor(s)==

[[:Category:Rohit Gupta of Mountain View CA (US)|Rohit Gupta of Mountain View CA (US)]][[Category:Rohit Gupta of Mountain View CA (US)]]

[[:Category:Nejib Ammar of Mountain View CA (US)|Nejib Ammar of Mountain View CA (US)]][[Category:Nejib Ammar of Mountain View CA (US)]]

[[:Category:Prashant Tiwari of Mountain View CA (US)|Prashant Tiwari of Mountain View CA (US)]][[Category:Prashant Tiwari of Mountain View CA (US)]]

==DECENTRALIZED PARKING FULFILLMENT SERVICE - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17848723 titled 'DECENTRALIZED PARKING FULFILLMENT SERVICE

==Simplified Explanation==

The abstract describes a method and system for providing a decentralized parking fulfillment service using artificial intelligence networks. The system involves a connected computing device and a connected vehicle, each equipped with their own AI network. The AI networks work together to determine a parking space for the vehicle.

* The method involves executing AI networks on both the computing device and the vehicle.
* The AI networks collaborate to solve a function that determines a parking space for the vehicle.
* The system includes a parking lot agent stored in the computing device's memory and a vehicle parking agent stored in the vehicle's memory.

== Potential Applications ==
* Efficient parking management in crowded urban areas.
* Improved parking availability and reduced congestion.
* Enhanced user experience by providing real-time parking recommendations.

== Problems Solved ==
* Difficulty in finding parking spaces in busy areas.
* Inefficient parking management leading to congestion and wasted time.
* Lack of real-time information on parking availability.

== Benefits ==
* Optimized parking allocation using AI networks.
* Reduced traffic congestion and improved traffic flow.
* Enhanced user convenience and time savings.


==Original Abstract Submitted==

In some implementations, a method for providing a decentralized parking fulfillment service may include executing, by a first processor of a connected computing device, a first artificial intelligence network. In addition, the decentralized parking fulfillment service may include executing, by a second processor of a connected vehicle, a second artificial intelligence network. The decentralized parking fulfillment service may include providing the decentralized parking fulfillment service including solving, by the first artificial intelligence network and the second artificial intelligence network, a function that determines a parking space for the connected vehicle. In some implementations, a decentralized parking fulfillment system for providing the decentralized parking fulfillment system includes a parking lot agent stored in a first non-transitory memory of the connected computing device and a vehicle parking agent stored in a second non-transitory memory of the connected vehicle.



[[Category:G06Q10/04]]