JP-2021524574-A5 -

Dates

Publication Date

20221227

Application Date

20190417

Description

A statistical model used to estimate time-dependent or conditional availability is the birth-death process , i.e., a uniform Markov process. This model preferably includes two parameters: λ is the demand rate, which characterizes the number of vehicles attempting to park in the parking space per unit time, for example, per hour, and μ is the availability rate. The probabilities of one new vehicle arriving in the parking space and at least one vehicle leaving the parking space are preferably modeled by exponential distributions. After time t, there is a reasonable probability of finding an available parking space by returning to the previously visited parking location Pj. (Here, p₀ = (0,0,...,1) T ) is given. This probability, which is time-dependent or corresponds to conditional availability, can be used to calculate an optimized sequence with respect to total travel time (which must include stops at least part of at least two separate parking locations Pi ).