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Premium services offering for use with driverless vehicle parking optimization Disclosure Number: IPCOM000245253D
Publication Date: 2016-Feb-22
Document File: 6 page(s) / 590K

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A method by which automated cars are ordered and moved around a parking lot or garage according to preference and priority of the car owner and constraints of the lot and lot contents.

This text was extracted from a PDF file.
This is the abbreviated version, containing approximately 50% of the total text.

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Premium services offering for use with driverless vehicle parking optimization

With the advent of partially and fully automated cars, we now have the ability to

move cars remotely and collectively. This opens a number of interesting new avenues for changing the way we currently use cars and how they can interact with their environment. One such environment considered in this disclosure is the parking lot. Disclosed is a method by which the full space of a parking lot can be optimised, according to the preference and priority of the vehicle owner, thus helping to resolve the chronic lack of parking in many cities.

    A solution would require but not limited to:
-Allows for dynamic rearrangement
-Arrangement is not exclusively dictated by previous vehicle layout
-Allows for driverless and non-driverless applications
-Allows for full use and optimisation of available space (i.e. Automated cars can place themselves in positions non-automated vehicles would cause an obstruction)

    -Allows for input of multi-priority type
-Allows for evaluation of all vehicles as the system
-Evaluation of system is not relative to the parking spot, rather the system When a new vehicle enters the lot, the parking arraignment and layout are evaluated. A new arrangement and layout are created so that the factors such estimated time of exit and sun exposure are optimized for prioritized users. Based on this new configuration, all affected vehicles are rearranged within the lot. The rearrangement is not constrained or dictated by the previous orientation of the vehicles

The parking lot has a variable capacity of vehicles which is

can accommodate, this is dependent on the following factors:
The length of each vehicle in the lot

The width of each vehicle in the lot
The square footage of the lot
The shape and configuration of the lot
As there is a variable capacity of cars, there are no traditional set/marked bays. There is just a space that can be consumed by parked vehicles
Each self-driving vehicle will have a module which allows it to receive remote instructions to follow a specified route instructed by the central controller

Each vehicle will use its onboard sensors to ensure it does not

collide with a vehicle which has failed to follow the route

specified by the central controller

Any vehicles that fail to move due to technical difficulties will be treated as an obstacle which the parking lot must use as a constraint in optimizing it's arrangement

An optimization model (such as a liner program) will be used

tooptimizethe number of vehicles the lot can accommodate and to control the position and movement of vehicles around the lot.

The variables in the optimization model include but are not

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limited to:

Date and time of day

Total energy cost for vehicle rearrangement
The time it takes to complete a full parking lot rearrangement

The coordinates of each vehicle

The constraints of the optimization model include but are not limited to:

Length and width of each in...