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[1] On closer examination, both crash counts and traffic counts actually exhibit somewhat higher variance than the mean, which further strengthens the point being made.
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[2] Although this project focuses on simulated vehicle trajectory data, it would seem entirely applicable to the analysis of real-world vehicle trajectory data as well.
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[3] The SSAM acronym may be used in the sense “the software,” as in SSAM identifies conflicts.
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[4] Inquiries for the SSAM software and documentation should be directed to the FHWA Office of Safety R&D.
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[5] Not used in the study because no data were collected in the simulation on single-vehicle events.
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[6] Spearman’s rank correlation coefficient is equivalent to a Pearson correlation of ranks; however, the Spearman equation is relatively simple to compute. In the case that there are ties among the rankings, a slightly more complicated procedure is used.
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[7] NEMA is an acronym for National Electrical Manufacturers Association, an organization that has established a standard specification for traffic signal operations. This standard is commonly used in traffic controllers in North America.
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[8] It was noted in the Field Validation chapter that simulated volumes were differed somewhat from the ADT volumes used for traditional crash prediction.
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[9] Please direct also inquiries regarding SSAM to the FHWA Office of Safety R&D.
