How do I extract Trajectory Data using NGSIM dataset?

It is required to extract trajectory data along with the frame number, vehicle ID, lane number, time, and position for the target vehicles in US-101 category of the Next Generation Simulation (NGSIM) dataset; however, after successfully reading the file with "data = readtable('pre-processing.csv')", one proceeded to use "Features=[categorical(pre-processing.csv,trajectory)]", but was flagging an error, kindly help.

[Aravindhan]

Hi Idris,

I'm also working on extracting the trajectory data from NGSIM dataset, but i don't know from where to start. Please kindly help.

[idris]

Am just seeing this. First, get the dataset from USDOT website then decide on the parameters you need to work with and then pick a choice tool, e,g, MATLAB. If you prefer that tool, you then use "imread" to read/load the file to your workspace and then do pre-processing, feature extraction and the likes. Hope this helps.

Answer 1

[Gagan Agarwal]

Hi Idris

It seems like there's a misunderstanding in the syntax and function usage in your code snippet. When you're working with MATLAB, after reading a CSV file into a table using "readtable", we don't use the file name again within your operations. Instead, we operate on the variable that now contains the table data, which in this case is "data".

I hope it helps!

[idris]

Yes. I meant filtering the US-101 data from the 'Location' column and thereafter, perfrom the following:

1. Filter Vehicles on Lanes 1-5:

- Consider only the vehicles present on lanes 1 to 5.

2. Identify Target Vehicles on Lanes 2-4:

- Find the target vehicles that are present on lanes 2 to 4.

3. Extract Trajectory Data:

- Extract the trajectory data along with the frame number, vehicle ID, lane number, time, and position for the target vehicles.

4. Frame-by-Frame Analysis for Each Target Vehicle:

- For each target vehicle, process the data frame by frame.

4.1 Identify Vehicles in Each Frame:

- For each frame, identify the target vehicle and the surrounding vehicle IDs.

4.2 Determine Positions:

- Find the positions of the identified vehicles.

5. Save Variables:

- Save all variables for the target vehicle.

6. Repeat for Next Target Vehicle:

- Repeat steps 3 to 5 for the next target vehicle

Kindly guide.