A Multivariate Analysis of Crash and Naturalistic Driving Data in Relation to Highway Factors (2013) / Chapter Skim
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Pages 40-47
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40 C h a p t e r 9 The following sections describe use of the geospatial methods described previously to data mine field operational test (FOT) data in support of work to identify potential crash surrogate measures.
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41 with the road data, which allowed counting crashes on each road segment in the Virginia highway network. After joining the VDOT road data and HPMS data, more attributes, such as number of lanes and AADT, were associated with the road segments in the VDOT data.
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42 were possible. Then, a simpler join was done in ArcMap to join the result of the first join with the geospatial data from the original VDOT data.
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43 Figure 9.1 shows the resulting layer mapped with the primary and Interstate routes. In Figure 9.1, the hot spots have been drawn thicker to make them visible.
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44 plots were created to describe the distributions of speeds found in the naturalistic data and maximum yaw values. In Figure 9.4, for each of the 20 hot spots, the speeds at which subject vehicles entered the hot spots are presented as a distribution.
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45 Figure 9.4. Distribution of vehicle speeds observed in naturalistic data when entering hot spot.
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46 the 100-Car Study run-off-road crashes were plotted in a layer in GIS, with the layer created from the joined VDOT centerline data and HPMS data. The features in the two layers were then spatially joined.
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47 be running continuously or near continuously to generate the intermediate tables within a reasonable time frame. The programming languages native to the Esri suite should be explored for scalability.
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