7. Usage of the Crash Data Delivery SystemThe research team used crash data from the UDOT Crash Data Delivery System, both the 2004 and 2005 versions, for this study. Both versions of the databases were accessed via the Internet, using the URLs in the references section of this report. While accessing the CDDS was straightforward, compiling the information for and creating the tables in this report was often challenging. The methods used to generate the tables are described below. Except where noted, the research team used the 2004 CDDS. 7.1 Ranking Intersections by Total Number of CrashesThe following procedure was used to develop the statewide and regional lists. The 2004 CDDS was used to do these rankings:
Figure 7.1 Intersection Search Example: Region 1 Crashes, 1994-2003
![]() Three types of intersections appear in Table A from step #8:
Crashes can occur on all approaches to an intersection. Therefore, the full complement of crash activity at any given intersection takes into account the crashes occurring on both intersecting roads. The CDDS includes information on all motor vehicle crashes occurring on all state and federal-aid routes, but not "other" roads. The next steps in the analysis, therefore, are to tabulate the crashes on the intersecting state and federal-aid routes, then add these values to the crashes that occurred on the state routes. One approach is as follows:
To develop a statewide list, combine the three regional and three district tables, then do an overall sort. Regarding step #5, the user may want to enter different values until the list reaches its desired length. In Figure 6.3, the inputs shown produce a preliminary list of the 25 intersections having the most crashes in Region 1. 7.2 Ranking Intersections by Crash Severity ScoresThere are, potentially, several ways to develop ranked lists of intersections based on crash severity scores. None of the CDDS intersection tools compute severity scores directly, so the analyst must develop an approach. The challenge is to find intersections that have numerous severe crashes. In Regions 1, 2 and 3, and the Cedar City District of Region 4, there were plenty of intersections that had fatal and/or multiple incapacitating injury crashes during the 10- and 3-year study periods. In the Price and Richfield districts, the number of intersections having severe crashes was limited, so it was necessary to also consider bruises-abrasions crashes. The following procedure - not necessarily the only possible approach - was used to develop the severity scores lists. The 2004 CDDS was used:
Figure 7.2. Advanced Search Example: Crash Severity by Region or District
![]() As mentioned above, for the Price and Richfield districts, a third iteration on "Bruises and Abrasions" may be necessary. The analyst now has a spreadsheet that includes the fatal, incapacitating injury, and possibly bruises and abrasions crashes that occurred in the given region or district during the study period. The next step is to identify those crashes that occurred within the functional area of an intersection. To reduce the number of locations being considered, it may be useful to examine the routes and milepoints for clusters of crashes. The analyst may define a "cluster" as one or more fatal, or five or more incapacitating injury crashes, for example. For a 500-ft radius of influence, crashes occurring within 0.18 mi of each other may be associated with the same intersection. Single or few crashes at isolated locations may not need to be considered. The analyst should maintain an approximate count of the number of clusters. Once the number exceeds some minimum value, such as 50 or 100, then isolated crashes can be removed from the spreadsheet. Then, to identify intersections:
The purpose of the final set of steps is to determine the severity scores for the selected intersections. Following step #29, the analyst should have a spreadsheet with fatal and incapacitating injury crashes clustered around intersections along state routes.
As in section 7.1, it is necessary to find the crash severity scores on the intersecting cross-streets. As before, identify the intersecting state route or federal-aid route and milepoint - this information should be available from step #30. For intersections with "other roads," there is no further work to do, and the results obtained in step #41 are final. In "Advanced Search," repeat steps #34-40 for the intersecting state routes and federal-aid routes. Once the preceding procedure has been completed, the analyst should have the total number of crashes, for each of five severities, for the study intersection, and its cross-street. The analyst can now compute the severity score for the intersection. Steps #31-42, along with the procedure in the paragraph following step #42, must be repeated for every intersection in the spreadsheet. Once this work is done, the analyst can perform a sort on the severity scores. Figure 7.3. Advanced Search Select Criteria Example: SR 171 at milepoint 10.54
![]() 7.3 Locating Intersections with Fatal CrashesTo find intersections having one or more fatal crashes during a given study period, the research team used the "Advanced Search" tool, as in steps #1-9 from section 7.2. Then, to eliminate fatal crashes not occurring at intersections, apply steps #23-30 from section 7.2. The analyst should now have a spreadsheet (Table D) that contains intersections at which fatal crashes occurred. By grouping the routes and milepoints, the analyst should begin to observe intersections at which multiple fatal crashes occurred. To complete the tabulation, it is necessary to identify fatal crashes on the intersecting cross-streets. The procedure described in the paragraph following step #42 in section 7.2 can be applied, except that the analyst is searching for fatal crashes only. Note that all of this information may have been compiled during the procedures described in section 7.2. There may be no need to repeat these steps, but the analyst may be interested in intersections in addition to those summarized in section 7.2. 7.4 Crash RatesCrash rates for state route-state route intersections can be tabulated using the 2005 version of the CDDS:
The analyst should be aware that the CDDS crash rate is the total number of crashes at the study intersection during the study period divided by the total entering traffic volume during the most recent year, multiplied by one million. The CDDS crash rate, therefore, is accurate only if the study period is one year in length. To properly adjust the rate, one approach is to divide the CDDS crash rate by the length of the study period in years, as follows:
7.5 Non-Signalized IntersectionsThe research team used the 2005 version of the CDDS to compile crash statistics at non-signalized intersections. The 2005 CDDS featured a "Point of Interests" tool, not available in the 2004 CDDS that made the identification of the traffic control type at each intersection straightforward. To rank non-signalized intersections according to the number of crashes and crash severity scores, the procedures described in Sections 7.1 and 7.2 should be applied. An additional component of the analysis, though, is the traffic control type at each intersection. This can be determined as follows:
The resultant list includes the milepoint of and traffic control at each intersection along the route. Note that it is not possible to distinguish between two-way and four-way stop signs. The analyst can "eliminate" signalized intersections by comparing these lists with those developed using the procedures in sections 7.1 and 7.2. Alternatively, the analyst could copy and paste each resultant list into a spreadsheet. If the analyst adds the crash information at each intersection, then the spreadsheet can be sorted by traffic control type. The shortcoming of the latter approach is that very large databases will be generated (i.e., crash and traffic control data at each intersection along each study route). 7.6 Collision StatisticsAs discussed in Section 6, the research team compiled collision-related statistics for a group of 35 study intersections. The statistics compiled included:
The retrieval of crash severities is described in section 7.2, while crash rates are described in section 7.4. Crash types and collision types were obtained in a similar manner as crash severities. Upon accessing "Advanced Search" the analyst selects "Accident Type 1" to get information on crash types, and "Collision Type" for collision types. The research team used "Accident Type 1" only, but search fields exist for "Accident Type 2" and "Accident Type 3." The latter types pertain to multiple-vehicle incidents in which more than one crash type was applicable. The research team did not conduct a thorough examination of these additional crash types at the study intersections, but further study is recommended. The number of crashes by direction of travel at each intersection is a standard output of the CDDS. That is, following each search, the display window summarizes the number of crashes by direction - for state route-state route intersections, all four approaches (legs) are summarized; for state route-federal aid route intersections, only the two legs on the state routes are summarized. The research team observed that the 2004 CDDS summarizes the number of vehicles involved in crashes on each leg. Contrarily, the 2005 CDDS summarizes the number of crashes on each leg. The analyst may find each of these summaries to be useful. To confirm crash totals, however, the 2005 CDDS summary is easier to apply than that of the 2004 CDDS. The research team also observed that the leg assignments at each intersection are straightforward in most applications. At intersections where routes change directions - SR 11 and US 89 in Kanab, for example - the analyst must be careful in assigning legs to routes. As mentioned previously, the analyst can easily adjust the functional radius of influence on the "Advanced Search" search criteria page, the "Intersections" tool page, or the "SR Intersections" tool page. The CDDS will apply the same radius to all intersections meeting the search criteria. If the analyst wishes to vary the radius, then he or she must run multiple searches on different values. This is a time-consuming exercise, but may be critical to understanding the sphere of influence of an intersection. |