2023_10_27 - Flight-Path-Analysis/FlightPathAnalysis GitHub Wiki

Flight Path Analysis Project: Weekly Meeting

Meeting Date: Oct 27, 2023 - 10:00 CT / 11:00 EST / 9:00 MST / 15:00 UTC

Meeting Location: Zoom

Chair: Andre Guimaraes

Announcements / One Minute Updates

  • 40 days until project deadline

Agenda Items

  • Google Doc Write-up
  • Action Items:
    • Weather Data Acquisition (Andre Guimaraes and Hannah Solomon)
    • Fuel Consumption Estimate Formula (Ruth Meadow Mac-Leod, Dimindu de Silva)
  • Other issues for discussion
  • Set up action items and working groups for next week
  • Any Other Business

GitHub Tutorial

  • At the end of the meeting, for anyone that needs it, I'll host further tutorials on GitHub and all the important features we need.

AI-Generated Minutes

Recording: Fathom Link

Attendees:

  • Andre Guimaraes (Chair)
  • Hannah Solomon
  • Dimindu de Silva
  • Ruth Meadow Mac-Leod
  • Noah Thompson
  • Soumen Deb

1. Announcements / One Minute Updates

  • Reminder that there are only 40 days left until the project deadline.
  • Personal updates were shared, with mentions of connection issues and illness affecting team members.

2. Google Doc Write-up

  • The team reviewed the document concerning the project's current progress. It was noted that maintaining units in aviation-standard measurements (knots) might be more practical for the purposes of the project.

3. Action Items Review

Weather Data Acquisition

  • Andre and Hannah are continuing efforts in data collection, facing challenges regarding precise altitude measurements and relevant weather factors like wind speed.
  • There's a potential lead on getting detailed fuel efficiency data directly from aircraft manufacturers.

Fuel Consumption Estimate Formula

  • Ruth and Dimindu are working on establishing a reliable estimate formula, considering variables such as aircraft weight, passenger count, and fuel capacity.

4. Discussions on Flight Data

  • The team discussed the complexity of estimating flight weights based on passenger numbers and fuel load. There's an ongoing effort to acquire more data on passenger statistics.
  • The possibility of using machine learning, specifically unsupervised neural networks, to identify common flight route clusters was discussed. This method might help in understanding deviations due to weather and optimizing air traffic control procedures.
  • There was also a conversation about the feasibility of categorizing flights based on standard departure and arrival procedures using GPS waypoints.

5. Technical Insights

  • The team agreed on the importance of identifying the aircraft type in their analysis and the need for a reliable method to link aircraft types with specific call signs from historical data.
  • The discussion included the necessity of balancing weight in aircraft for efficient fuel consumption and the safety aspect of flights.
  • The team touched upon the challenges in fuel efficiency calculations, particularly for different aircraft models like A320 and A380. The discovery of fuel capacity data in kilograms is expected to aid in this segment of the project.

6. Other Business

  • The team briefly discussed the difficulties in obtaining historical weather data, essential for their analysis. Andre and Solomon explored various databases, specifically the Iowa Environmental Mesonet, for weather conditions data and discussed software packages beneficial for interpreting complex meteorological data.
  • Andre provided personal insights, and Solomon discussed his perspective on the project's progress and his contributions.

7. Next Steps

  • The team will continue their respective tasks, focusing on gathering relevant data and refining estimation formulas.
  • Noah will research the operational standards of airlines concerning flight procedures and share his findings.
  • The group agreed to create a small lookup table for quick reference on aircraft specifications and to assume constant factors for initial model calculations.

8. GitHub Tutorial

  • Andre reiterated his offer to host additional GitHub tutorials for team members who need further assistance.

9. Closing

  • The meeting concluded with affirmations of next steps and a review of assigned tasks. Team members are to proceed with their responsibilities and prepare for the upcoming hackathon, with emphasis on collaborative problem-solving.

Next Meeting: Nov 3, 2023 - 10:00 CT / 11:00 EST / 9:00 MST / 15:00 UTC

The meeting recording can be accessed here.

AI-Generated Transcript Summary