Data
Hazardous-Driving-Spots-Around-the-World

Hazardous-Driving-Spots-Around-the-World

active ARFF CC BY-NC-SA 4.0 Visibility: public Uploaded 23-03-2022 by Elif Ceren Gok
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  • Computer Systems Machine Learning
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Content This dataset identifies hazardous areas for driving according to harsh braking and accident level events within a specific area. Each month a new set of dangerous driving areas is produced and encapsulates one year of rolling data (i.e. from the previous month back 1 year). Associated with each area is a severity score that is based on the frequency of occurrences in the area and the severity of said occurrences. Data is aggregated over the previous 12 months. Data Some variables to point out: SeverityScore: Severity score for each area as the number of harsh braking incidents and accident-level incidents for every 100 units of traffic flow. Traffic flow is defined as total hourly vehicle volume in the geohash. IncidentsTotal: The total number of harsh braking incidents and accident-level events that have occurred within the geohash Acknowledgements This dataset is aggregated over the previous 12 months and is updated monthly. This data is publicly available from Geotab (geotab.com). Inspiration As some inspiration, here are some questions: Which countries have the highest number of hazardous spots? Least number? Can you create a dynamic geospatial visualization?

18 features

Geohashstring10939 unique values
0 missing
GeohashBoundsstring10939 unique values
0 missing
Latitude_SWnumeric4749 unique values
0 missing
Longitude_SWnumeric5149 unique values
0 missing
Latitude_NEnumeric4749 unique values
0 missing
Longitude_NEnumeric5149 unique values
0 missing
Locationstring10939 unique values
0 missing
Latitudenumeric5276 unique values
0 missing
Longitudenumeric5686 unique values
0 missing
Citystring1004 unique values
2155 missing
Countystring556 unique values
2922 missing
Statestring88 unique values
992 missing
Countrystring15 unique values
10 missing
ISO_3166_2string99 unique values
10 missing
SeverityScorenumeric826 unique values
0 missing
IncidentsTotalnumeric188 unique values
0 missing
UpdateDatestring1 unique values
0 missing
Versionnumeric1 unique values
0 missing

19 properties

10939
Number of instances (rows) of the dataset.
18
Number of attributes (columns) of the dataset.
Number of distinct values of the target attribute (if it is nominal).
6089
Number of missing values in the dataset.
4085
Number of instances with at least one value missing.
9
Number of numeric attributes.
0
Number of nominal attributes.
0
Number of attributes divided by the number of instances.
50
Percentage of numeric attributes.
Percentage of instances belonging to the most frequent class.
0
Percentage of nominal attributes.
Number of instances belonging to the most frequent class.
Percentage of instances belonging to the least frequent class.
Number of instances belonging to the least frequent class.
0
Number of binary attributes.
0
Percentage of binary attributes.
37.34
Percentage of instances having missing values.
Average class difference between consecutive instances.
3.09
Percentage of missing values.

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