Some important variables were left out in the analysis due to the relatively low numbers of accidents recorded in the area. From a statistical perspective we have to wait for more accidents to happen so we can include them.

In the dataset, to look at accidents just before you get to salgaa-sachangwan area and after the blackspot. To that end, we created a subset of data that had fatalities in Nakuru county along the A104 highway which resulted in 83 entries. The dataset covered Gigil, Naivasha, Nakuru, Salgaa, Sachangwan, and Molo. Initial feature extraction resulted in 384 variables but we fell into the curse of dimensionality since you cannot have more variables than number of rows.

Final dataset had 82 features we covered location, cause, victims, day, and description of accidents. Our hypothesis was that if there is something unique at Salgaa that’s causing many accidents, then it would show up as an anomaly on an outline analysis. The following findings were revealed as the main causes of accidents at Salgaa blackspot:

  1. Distracted Driving. One of the top causes of car accidents can be blamed on distracted driving.
  2. Drunk Driving.
  3. Speeding.
  4. Running Red Lights and Stop Signs.
  5. Reckless Driving.
  6. Aggressive Driving.
  7. Fatigue.
  8. Weather Conditions.

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