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Case Study: Akaike Information Criterion

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In terms of model selection, the Akaike Information Criterion (AIC) was utilized to select between candidate models. In addition, the best model is the one which has the lowest AIC value.

For this analysis, we considered the case that HOV lanes were degraded by the Federal standard for HOV degradation with 45 miles per hour threshold to see if there are some chances that the HOV still give benefit compare to regular lanes. Thus, the speed difference between the HOV lanes and interested regular lanes were computed as the incentive, in the case that the HOV lane speed is more than regular lanes speed. And, it will be the disincentive value in the other way around. In terms of the speed difference dataset, we pulled out five-minutes peak periods

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