Indian metro cities are famous for their notoriously varied traffic volume that is experienced by commuters every day. People plagued with traffic jams often raise concerns over poor traffic management systems. But with so much technology at our disposal, why should we continue to deal with traffic management in obsolete ways? In this modern and advanced era, why the problems regarding traffic management should be dealt with in obsolete ways? Your city's Traffic Police department has decided to use Machine Learning and Artificial Intelligence techniques to solve their traffic problems. They have collected traffic volume patterns and climate conditions that have been observed for 4 years. They want to be able to forecast the traffic volume.
Task: Your task is to predict the traffic volume for given time duration and climate conditions.
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Data description
Columns
Description
date_time
Date, time, and hour of the data that is collected in the local IST time
is_holiday
Categorical Indian national holidays combined with regional holidays
air_pollution_index
Air Quality Index (10-300)
humidity
Numeric humidity in Celcius
wind_speed
Numeric wind speed in miles per hour
wind_direction
Cardinal wind direction (0-360 degree)
visibility_in_miles
Visibility of distance in miles
dew_point
Numeric dew point in Celcius
temperature
Numeric average temperature in Kelvin
rain_p_h
Numeric amount in mm of rain that occurred in the hour
snow_p_h
Numeric amount in mm of snow that occurred in the hour
clouds_all
Numeric percentage of cloud cover
weather_type
Categorical short textual description of the current weather
weather_description
Categorical longer textual description of the current weather
traffic_volume
Numeric hourly traffic volume bound in a specific direction
Data Set
Train.csv: 33750 x 15 Test.csv: 14454 x 14 Submission.csv: 14454 x 2 Sample submission format
date_time
traffic_volume
1969-05-17 21:00:00
500
1969-05-17 21:00:00
530
1969-05-17 21:00:00
545
1969-05-17 22:00:00
750
Please Note:
Only the team leaders are supposed to give the submission for the challenge and only these submissions will be considered valid for the final shortlist. Team members can collaborate offline with the leader for the submissions but need not register and participate in the challenge. Evaluation criteria
