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trajectory

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movingpandas
bkowshik
bkowshik commented Jul 23, 2021

Similar to the add_direction and add_speed methods, it will be useful to add add_distance as a method that computes distance between successive points of the trajectory. A distribution of distance, looking at large and small distance segments could be useful to get an understanding of the datasets.

Ref: https://movingpandas.readthedocs.io/en/master/trajectory.html

@anitagraser Since,

javisaezh
javisaezh commented Nov 25, 2020

Hello, I would like to know if there is already any method developed to match the flight_ids obtained from So6 to ADS-B files. I’m trying to use the assign_id method for both files but it seems to be assigned differnent new flight-ids for SO6 and ADS-B same flights.

Thank you.

RocketPy
aipla999
aipla999 commented Apr 20, 2021

@giovaniceotto. Thank you so much.I have run the Monte Carlo analysis successfully.And the new reference documents are so comprehensive and detailed. Besides,I made some changes to the sample code ,so that I can get simulation data of every timestep and do more in-depth analysis. All data will be saved in an excel file in the location you specify.

The specific methods are as follows:
**Fir

Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.

  • Updated Nov 15, 2020
  • Python

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