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Class-8 Heavy Truck Duty Cycle Project Final Report - Center for ...

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three rows of Table 21 show the average (same as the ones presented in Table 19), standard deviation<br />

and sample size of each of the distributions. Notice that the minimum sample size is 850 observations<br />

(Duals-NGSWBTs) with a maximum of 1,956 observations (100-mile segments) <strong>for</strong> the NGSWBTs-<br />

Duals case. The fourth row in Table 21 presents the mean of the difference between the sample<br />

average fuel efficiency of the truck- tire combination of the corresponding column and that of the<br />

Duals-Duals case. The fifth row shows the standard deviation of the difference which, together with<br />

the mean and sample size, permits the computation of the test statistic value z (a one-tailed test based<br />

on the alternative hypothesis shown in Eq. 12 and provided in row six of Table 21). For the three<br />

truck- tire configurations that have some or all NGSWBTs, the null hypothesis, which states that<br />

there is no difference in terms of fuel efficiency that can be explained by different tire configurations,<br />

can be rejected with 100% confidence in favor of the alternative hypothesis, which indicates that on<br />

average the fuel efficiencies obtained when using the Duals-Duals combination is lower than in the<br />

other cases. This strongly suggests that fuel efficiencies in cases using some or all NGSWBTs are<br />

higher than in the case of a truck equipped with all dual tires. In other words, the percent<br />

improvements in fuel efficiencies that are achieved when using all NGSWBTs or combinations of<br />

duals and NGSWBTs are statistically significant. And as demonstrated in the last sub-section, even if<br />

the databus does not measure fuel consumption with total precision, as long as the in<strong>for</strong>mation<br />

collected from the six databuses present the same systematic bias, then the percent differences are still<br />

accurate,.<br />

Table 21. Fuel Efficiency Comparison by <strong>Truck</strong>-Tire Configuration (Null Hypothesis: All Fuel Efficiency<br />

Distributions Are the Same)<br />

Sample Average Fuel Efficiency 1 (mpg)<br />

Duals-<br />

Duals<br />

<strong>Truck</strong>-Tire Configuration<br />

Duals-<br />

NGSWBTs<br />

NGSWBTs-<br />

Duals<br />

NGSWBTs-<br />

NGSWBTs<br />

6.60 7.00 7.03 7.22<br />

Sample Std. Dev. 1.21 1.32 1.19 1.19<br />

Sample Size 1,798 850 1,956 871<br />

Mean of Difference with Duals-Duals 0.40 0.42 0.61<br />

Std. Dev. of Difference with Duals-Duals 0.05 0.04 0.05<br />

Test Statistic Value (Z) 7.41 10.77 12.43<br />

Reject Ho at Confidence Level =<br />

1<br />

Fuel efficiencies computed using collected databus in<strong>for</strong>mation.<br />

6.3.2.2 Effect of Vehicle Weight on Fuel Efficiency<br />

100.00% 100.00% 100.00%<br />

The extensive database and powerful search engine created <strong>for</strong> this study allows researchers to study<br />

other aspects of fuel efficiency., For example, studies involving the effects that different tractor/trailer<br />

tire combinations have on the fuel efficiency of <strong>Class</strong>-8 trucks, when additional variables are taken<br />

into account, would be of interest. One very important variable affecting fuel efficiency is the weight<br />

of the vehicle.<br />

The previous sub-section showed that there were improvements of the fuel efficiency of the types of<br />

vehicles studied here when at least some of the tires (either those mounted on the tractor, the trailer,<br />

or both) were NGSWBTs. Those results were obtained without controlling <strong>for</strong> any particular variable<br />

(other than the type of tires) since it could be assumed that any of the participating vehicles would<br />

experience the same situations (terrain, weather, load) over the course of the year-long experiment. It<br />

is, however, important to determine whether the observed increases in fuel efficiency due to the type<br />

of tires used is maintained once the data is controlled <strong>for</strong> vehicle weight. That is, it is important to<br />

determine if the gains on fuel efficiency due to the type of tires used are more significant when the<br />

91

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