Grid Layout of Parking Population Modeling

The parameters considered in the model are: This graph shows a parking lot as a 10x10 grid where cars arrive with a Poisson probability distribution with mean of 10. There is no departure. The cars arrive and have a favorite column to park in which is linked to the preference of the store that the driver chooses. This is a Depth First Population model

DFP with no departure

Average Distance Summary:
  Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   1.00    2.00    5.00    4.95    8.00   10.00

The cars now arrive and fill up with a Breadth First approach

BFP with no departure

Average Distance Summary:
 Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   1.00    2.00    5.00    4.95    8.00   10.00

If the rate of departure is similar to the rate of arrival:

DFP with Same Departure Rate as Arrival - Poisson Arrival with mean 10

Average Distance Summary:
 Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.000   3.000   6.000   5.616   8.000  10.000 

BFP with Same Departure Rate as Arrival - Poisson Arrival with mean 10

Average Distance Summary:
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.000   3.000   5.000   5.336   8.000  10.000 
The models now consider a fixed rate of departure (1/10).

DFP width Fixed Departure rate (1/10) and Poisson Arrival with mean 10

Average Distance Summary:
  Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
   1.00    3.00    6.00    5.72    8.00   10.00 
BFP with Fixed Departure rate (1/10) and Poisson Arrival with mean 10
Average Distance Summary:
 Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.000   4.000   5.831   5.709   8.000  11.660
DFP with Fixed Departure rate (1/10) and Poisson Arrival with mean 100
Average Distance Summary:
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  1.000   3.000   6.000   5.521   8.000  10.000 

Observations

The results, while considering only a 10x10 grid, show that the average distance to the store of preference is greater when the drivers park using a Breadth First model than a Depth First model.
Under the assumptions of this model (uniform distribution of store preferences, distribution of arrivals...) the results show that when designing a parking lot, it appears that it would be more beneficial to lay the parking spots in a column style facing the stores rather than in a line.

Implementation

The model is implemented using the R language and is available here.
Last modified: Wed Jul 11 18:37:44 MDT 2007