SHARED PARKING DETECTION AND OPTIMIZATION

Organization Name

Inventor(s)

TAKAMASA Higuchi of Mountain View CA (US)

SHARED PARKING DETECTION AND OPTIMIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17988699 titled 'SHARED PARKING DETECTION AND OPTIMIZATION

Simplified Explanation

The patent application describes systems and methods for determining parking spaces to rent to the public based on occupancy data and restrictions.

The systems can determine time bins and calculate the number of reserved spaces for each time bin.
Restrictions associated with the parking space can be identified and taken into account.
The final number of parking spaces to rent is determined based on the number of reserved spaces and the restrictions.

Potential Applications

This technology could be applied in parking management systems for public parking lots, garages, and other parking facilities.

Problems Solved

1. Efficient allocation of parking spaces based on demand and restrictions. 2. Streamlining the process of renting parking spaces to the public.

Benefits

1. Improved utilization of parking spaces. 2. Enhanced customer experience with better availability of parking spots. 3. Increased revenue potential for parking facility operators.

Potential Commercial Applications

Optimizing parking space allocation in shopping malls, airports, event venues, and urban parking areas.

Possible Prior Art

One potential prior art could be existing parking management systems that use occupancy sensors and reservation systems to allocate parking spaces efficiently.

What is the impact of this technology on parking space availability in urban areas?

This technology can help optimize the allocation of parking spaces in urban areas, leading to better availability for the public and potentially reducing congestion caused by drivers searching for parking spots.

How does this innovation improve the overall customer experience in parking facilities?

By accurately determining the number of parking spaces to rent based on demand and restrictions, this innovation ensures a smoother parking experience for customers, with a higher likelihood of finding available spots when needed.

Original Abstract Submitted

Systems and methods are provided for determining parking spaces to rent to the public. The systems and methods can determine a plurality of time bins and receive data on the occupancy of parking spaces for each time bin. A determined number of reserved spaces can be calculated for each time bin. Restrictions associated with the parking space can also be determined. A final number of parking spaces to rent can be determined based on the determined number of reserved spaces and the restrictions.