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