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23 January, 20:33

If the arrival of major road vehicles can be described by the poisson distribution, and the peak hour volume is 1000 veh/hr. the value of the critical gap is 4 seconds. the expected number of available gaps during the peak hour is equal to:

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  1. 23 January, 20:48
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    Expected no. of vehicles per hour = 1000

    expected no. of vehicles per 4 minute interval = 1000 / (3600/4) = 10/9 = λ

    Using the poisson distribution, probability that no vehicles within the 4 second interval

    P (0) = λ ^0 e^ ( - λ ) / 0!

    = (10/9) ^0 e^ (-10/9) / 1

    = e^ (-10/9)

    = 0.3292 (approx.)

    In an hour, there are n=3600/4=900 such intervals, each with probability of p=0.3292 occurring.

    Applying binomial distribution,

    expected number of gaps

    =np

    =900*0.3292

    = 296.3

    Answer: the expected number of gaps is 296 (to the nearest unit).

    Note: in fact, the actual expected number will be higher because gaps do not line up at 4 second intervals. If a vehicle passes at the 1 second of the interval, a gap can commence at the next second. Therefore the expected value could/should be slightly higher.
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