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Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

Q2 Z2,(Q2) Z2(Q2) - Institute for Water Resources - U.S. Army

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delay time would be simply the arithmetic average delay time over a<br />

sample of train trips. This, of course, ignores congestion and<br />

would relate to a specific route only.<br />

In order to get an idea of the magnitude of linchaul delays, a<br />

sample of 100 unit-train movements was obtained. These data all re-<br />

late to the same origin-destination combination: a one-way distance<br />

of 227 miles. In<strong>for</strong>mation on the composition of each train was ob-<br />

tained, specifically: (1) number of cars, (2) tare weight of cars,<br />

(3) loaded weight of cars, (4) number of axles on each car, (5) num-<br />

ber of locomotive units, (6) horsepower of each locomotive unit, and<br />

(7) number of axles on each locomotive unit. Detailed terrain anal-<br />

ysis of the route was made by the railway; it was decided that there<br />

was no appreciable gradient or curvature along the route. Given<br />

this in<strong>for</strong>mation--train characteristics and route characteristics--<br />

it was possible to determine the speed of each sample train from the<br />

solution to Equation (5.24) above. Applying Equation (5.24) to each<br />

of the 100 data points in turn yielded 100 predicted speeds V i and,<br />

by Equation (5.29), 100 predicted trip times, Ti. These were then<br />

subtracted from the observed trip times supplied by the railway.<br />

The result in'each case was an estimate of delay time en route. It<br />

should be stressed that no terminal time was included in these ob-<br />

servations; there<strong>for</strong>e, assuming the predicted times are correct,<br />

deviations from predicted trip times are due to delays en route in-<br />

volving slow-downs as well as stops. The results are shown in<br />

Table 5.1.<br />

145

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