Let n be the number of cars that pass through this traffic. Define a lambda for the Poisson distribution:
"\\lambda=np=0.0001n"
For the Poisson distribution, the probability of k events is equal to
"P(k)= \\frac{\\lambda^k}{k!}e^{-\\lambda}"
Then:
"P(k>2)=1-P(0)-P(1)\\\\\nP(k>2)=1-e^{-\\lambda}-\\lambda e^{-\\lambda}=1-e^{-0.0001n}(1+0.0001n)"
Due to the traffic load n tends to infinity:
"P(k>2)=\\lim\\limits_{n\\to\\infty}1-e^{-0.0001n}(1+0.0001n)"
The exponential function grows stronger than the power function:
"P(k>2)=1"
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