Discrete calculating method for meeting probability on continuous path
A technology of encounter probability and calculation method, which is applied in the field of personnel search, can solve problems such as inability to give accurate results, continuous integral measurement method cannot be calculated, etc., and achieve the effect of avoiding calculation problems, avoiding integration or differentiation, and reducing complexity
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Embodiment 1
[0103] Assuming that the length of the path L between the searcher F and the lost person G is l=10, if the last location of the lost person is unknown, it can be reasonably assumed that the probability distribution of G on L is uniformly distributed, and p g (y) is a uniform distribution, and the searcher F searches randomly on the path L, so let p f (x) is also uniformly distributed, that is The maximum encounter distance d meet is 2, then the encounter probability can be calculated according to formula (2):
[0104] Step 1: Discretize the path L into n small segments, correspondingly divide p f (x), p g (y) discretized into n distributions in L i Probability value on After normalization, we get Calculate segment length
[0105] Step 2: Encounter Event E meet ={(x i ,y j )||y j -x i |≤2}, if F is located in L i For the sub-area, it is considered that the visible range of F covers at most 2m+1 small segments.
[0106] Step 3: According to the formula Calcu...
Embodiment 2
[0132] Let the length of the path L between the seeker F and the lost person G be l=10, and the maximum encounter distance d meet is 2, it is determined that the last position of the lost person is located at the midpoint of the path L and is free to move on the path L. It can be reasonably assumed that the probability density function of the lost person G on L is a normal distribution, and the midpoint of the path L is the coordinate origin, then If the searcher F searches randomly on the path L, it can be reasonably assumed that the probability density function of F on L is uniformly distributed, that is, p f (x)=0.1. For the above scenario problems that cannot be solved by the integral measurement method, the discretization calculation method is adopted as follows:
[0133] Step 1: Discretize the path L into n small segments, correspondingly divide p f (x), p g (y) discretized into n distributions in L i The probability value p on f (c 1 ), p f (c 2 ),...,p f (c ...
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