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flight-delay-prediction's Introduction

Flight-Delay-Prediction

##Team Members

  1. Prateek Chandan (120050042)
  2. Nishant Kumar Singh (120050043)
  3. Maninder

How to Run

To run the complete code base. Run the following bash file

./run.sh

##Requirements Language : Python2.7 Operating System : Linux Memory Requirement : ~40GB of free space The following python libraries are used in our code base and are required in this project

  • pandas
  • sklearn
  • numpy
  • scipy
  • csv

##Data File Fileds

Note: The fileds with * are used in our training model

  1. *Year 1987-2008
  2. *Month 1-12
  3. DayofMonth 1-31
  4. *DayOfWeek 1 (Monday) - 7 (Sunday)
  5. *DepTime actual departure time (local, hhmm)
  6. *CRSDepTime scheduled departure time (local, hhmm)
  7. *ArrTime actual arrival time (local, hhmm)
  8. *CRSArrTime scheduled arrival time (local, hhmm)
  9. *UniqueCarrier unique carrier code
  10. FlightNum flight number
  11. TailNum plane tail number
  12. *ActualElapsedTime in minutes
  13. *CRSElapsedTime in minutes
  14. *AirTime in minutes
  15. ->ArrDelay arrival delay, in minutes
  16. ->DepDelay departure delay, in minutes
  17. *Origin origin IATA airport code
  18. *Dest destination IATA airport code
  19. *Distance in miles
  20. TaxiIn taxi in time, in minutes
  21. TaxiOut taxi out time in minutes
  22. *Cancelled was the flight cancelled?
  23. CancellationCode reason for cancellation (A = carrier, B = weather, C = NAS, D = security)
  24. Diverted 1 = yes, 0 = no
  25. CarrierDelay in minutes
  26. WeatherDelay in minutes
  27. NASDelay in minutes
  28. SecurityDelay in minutes
  29. LateAircraftDelay in minutes
  30. source Time
  31. source Station Type
  32. source Maintenance Indicator
  33. source Sky Conditions
  34. *source Visibility
  35. source Weather Type
  36. *source Dry Bulb Temp
  37. *source Dew Point Temp
  38. *source Wet Bulb Temp
  39. *source % Relative Humidity
  40. *source Wind Speed (kt)
  41. source Wind Direction
  42. source Wind Char. Gusts (kt)
  43. source Val for Wind Char.
  44. *source Station Pressure
  45. source Pressure Tendency
  46. *source Sea Level Pressure
  47. source Record Type
  48. source Precip. Total
  49. dest Time
  50. dest Station Type
  51. dest Maintenance Indicator
  52. dest Sky Conditions
  53. *dest Visibility
  54. dest Weather Type
  55. *dest Dry Bulb Temp
  56. *dest Dew Point Temp
  57. *dest Wet Bulb Temp
  58. *dest % Relative Humidity
  59. *dest Wind Speed (kt)
  60. dest Wind Direction
  61. dest Wind Char. Gusts (kt)
  62. dest Val for Wind Char.
  63. *dest Station Pressure
  64. dest Pressure Tendency
  65. *dest Sea Level Pressure
  66. dest Record Type
  67. dest Precip. Total

##Data Source

We have used the following data sets:

  1. Statistical Computing & Statistical Graphics​ .This data is taken from the Research and Technology Administration (RITA) database and structured for our use. But the above dataset doesn’t have any information related to weather conditions at the origin and destination airports.
  2. For weather data we have: Hourly land­based weather observations from NOAA​ .This source contains hourly and daily data of weather at various airports.

References

  1. http://stat­computing.org/dataexpo/2009/the­data.html
  2. http://cdo.ncdc.noaa.gov/qclcd_ascii/
  3. https://www.scipy.org/
  4. http://scikit-learn.org/
  5. http://www.google.com

GITHUB URL : https://github.com/prateekchandan/Flight-Delay-Prediction

flight-delay-prediction's People

Contributors

singhnishant94 avatar prateekchandan avatar

Watchers

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