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SHRP 2 L11: Final Appendices<br />

Equation 2 - Gumbel Probability Density Function<br />

−r T −t<br />

P( I,t)= e ( ) ⎧<br />

⎛<br />

I( e −h−1 ξ − e − H −1 ξ<br />

)− V 0 ( 1 − µ + σ ξ) ( e − H −1 ξ − e −h−1 ξ<br />

)− σ ξ Γ 1 − ⎞ ⎫<br />

⎨<br />

( ξ,h−1 ξ , H −1 ξ<br />

)<br />

⎝<br />

⎜<br />

⎠<br />

⎟ ⎬<br />

⎩⎪<br />

⎭⎪<br />

where<br />

H = 1 + ξ ⎛<br />

σ 1− I ⎞<br />

− µ<br />

⎝<br />

⎜ V 0 ⎠<br />

⎟<br />

h = 1 + ξ ( σ 1− µ )<br />

µ = the location parameter of the estimated EV function<br />

σ = the scale parameter of the estimated EV function<br />

ξ = the shape parameter of the estimated EV function<br />

Γ( )= the incomplete gamma distribution<br />

The location, scale, and shape parameters of EV distributions are estimated by special<br />

fitting procedures applied <strong>to</strong> the random variable. The parameter, x, represents the event<br />

frequency or system performance data that are distributed. This could include such as<br />

speed (delay) data for a long time period. The procedures for estimating the parameters<br />

are available in Stata® and similar, comprehensive statistical software packages or in<br />

standalone software such as MathWave®. The location and scale parameters for the<br />

Gumbel distribution can be estimated using the Gumbel distribution fitting options from<br />

these statistical software packages or by using standalone software.<br />

Valuing Unreliability for Processes Characterized by Extreme Value<br />

Distributions<br />

Valuing options when the value of the process of interest follows an EV distribution is<br />

conceptually similar <strong>to</strong> the process described earlier for log-normally distributed values.<br />

However, the mathematics is more complicated and the role of time in the methodology<br />

is more pronounced because the option’s life occurs over a longer period of time.<br />

The precise formulation of the valuation formula depends on the data available and the<br />

unreliability process being examined. In the case in which the speed metric is a<br />

distributed EV, and the valuation at the end of the option life is appropriate (similar <strong>to</strong> the<br />

log-normal case), a closed form of a European put formulation is available (Markose and<br />

Alen<strong>to</strong>rn, 2005). The value of the put can be calculated for a European put option with a<br />

strike price (speed guarantee) of I and a life (evaluation interval) of t using Equation 3.<br />

VALUATION OF TRAVEL-TIME RELIABILITY FOR RARE EVENTS Page C-5

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