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https://pubmed.ncbi.nlm.nih.gov/38091320
This study developed a model to analyze crash data and classify crashes as primary or secondary, finding that secondary crashes account for up to 15.09% of traffic incidents on Interstate-4 highway in Florida, and that a sinusoidal non-stationary background rate fits the traffic data best, replicating daily and weekly peaks in crash events due to traffic rush hours.
