Embedded Files
For dataset of segments.csv
For dataset of segments.csv
It consists of the list of crashes in the year 2018 and 2019 with the coordinates of the crash and the date and time of the crash.
We have done the following preprocessing and data exploration:
Extraction of data from json files provided
Data Cleaning and data merging to work on only necessary features like road segment id,road name,frequency of accidents and lane type.
Finding which lane and which road has the highest number of accidents int the city.
Plotting on street view manp the intensity of road accidents in particular areas.
After data cleaning and manipulation
Count of roads with 1-lane and 2-lanes
Count of roads with 1-lane and 2-lanes
Count of accidents on each road lane-wise
Count of accidents on each road lane-wise
road accidents according to frequency
road accidents according to frequency
Roads waiyaki way-trunk anf thika road-primary has very high frequency of accidents.
Inferences
Inferences
There are higher number of roads with 1 lane than roads with 2 lanes
the frequency of accidents are higher on one lane roads
Street names with accident frequency greater than 10 in 2 years
Street names with accident frequency greater than 10 in 2 years
Map view of the streets
Map view of the streets
Inferences
Inferences
Maximum number of accidents occur in the Waiyaki way-trunk street which is a one-lane road.
From the map view we can see that this road is very close to the city center.
Map view for the crash locations
Map view for the crash locations
Heatmap for frequency of accidents on the street segments.
Heatmap for frequency of accidents on the street segments.
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