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Analytics for Autonomous Car Parking

IP.com Disclosure Number: IPCOM000243932D
Publication Date: 2015-Oct-28
Document File: 1 page(s) / 23K

Publishing Venue

The IP.com Prior Art Database

Abstract

Disclosed is a system by which autonomous cars can utilize information about the user's preferences, schedule, and location to optimize parking by lot size or by cost.

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Analytics for Autonomous Car Parking

In many locations, parking is either in short supply or very expensive.

The novel contribution is a system by which autonomous cars can utilize information about the user's preferences, schedule, and location to optimize parking by lot size or by cost.

This system for parking optimization involves the autonomous cars working together to pack into a small parking area. The cars that are not needed for a longer period (based on the user data analytics) move toward the back of the parking area (possibly being blocked in), while those needed after a shorter duration work forward or stay in the front. In this manner, more cars can be parked in a smaller space.

When parking is paid, the car can make the tradeoff based on the user data analytics to determine if it is worth going further away for less expensive parking versus paying the additional fee to park closely. In addition, the system can take into account fuel costs. In some cases, it may be more economical to simply drive around the block if it is a short stop/errand.

Another option is for the car to search for a parking place and stay in it for the allowed amount of time and then move to another parking place. Cars could communicate with each other to indicate that a parking space is opening as a car leaves it.

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