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Technical Paper

Modeling vehicle interior noise exposure dose on freeways: Considering weaving segment designs and engine operation

ORCID Icon, ORCID Icon, &
Pages 576-587 | Received 17 Apr 2017, Accepted 19 Jun 2017, Published online: 19 Apr 2018

Figures & data

Figure 1. Weaving segment configuration (a) Type A, (b) Type B, and (c) Type C (source: Highway Capacity Manual [HCM 2000; Transportation Research Board, Citation2000]).

Figure 1. Weaving segment configuration (a) Type A, (b) Type B, and (c) Type C (source: Highway Capacity Manual [HCM 2000; Transportation Research Board, Citation2000]).

Table 1. Specification of the weaving segments and basic segment on the test route.

Table 2. Traffic conditions in groups.

Figure 2. Observed interior noise levels on segments.

Figure 2. Observed interior noise levels on segments.

Figure 3. (a) Probability distribution of daily interior noise exposure level. (b) Daily interior noise exposure levels on segments.

Figure 3. (a) Probability distribution of daily interior noise exposure level. (b) Daily interior noise exposure levels on segments.

Figure 4. (a) Average hazard equivalent exposure time factors (EETFs). (b) Total EETFs under different traffic conditions.

Figure 4. (a) Average hazard equivalent exposure time factors (EETFs). (b) Total EETFs under different traffic conditions.

Figure 5. (a) Hazard quotient values for the threshold 85 dB(A) on segments. (b) Hazard quotient values for the threshold 90 dB(A) on segments.

Figure 5. (a) Hazard quotient values for the threshold 85 dB(A) on segments. (b) Hazard quotient values for the threshold 90 dB(A) on segments.

Figure 6. Importance of the 11 predictor variables for the bagged decision tree–based in-vehicle noise model.

Figure 6. Importance of the 11 predictor variables for the bagged decision tree–based in-vehicle noise model.

Figure 7. Out-of-bag regression error for 300 deep grown trees.

Figure 7. Out-of-bag regression error for 300 deep grown trees.

Table 3. Text description of the first 10 splits in decision tree for regression.

Figure 8. Fitted regression lines for (a) training data set and (b) validation data set.

Figure 8. Fitted regression lines for (a) training data set and (b) validation data set.

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