Since the number of accidents follows a Poisson distribution with mean \( \lambda = 5 \), the probability mass function is:
\[
P(X = k) = \frac{\lambda^k e^{-\lambda}}{k!}
\]
To find \( P(X \leq 1) \), we sum the probabilities:
\[
P(X = 0) = \frac{5^0 e^{-5}}{0!} = \frac{e^{-5}}{1} = \frac{1}{e^5}
\]
\[
P(X = 1) = \frac{5^1 e^{-5}}{1!} = \frac{5}{e^5}
\]
Thus, the probability:
\[
P(X \leq 1) = \frac{1}{e^5} + \frac{5}{e^5} = \frac{6}{e^5}
\]