/IV2019

Traffic scenario clustering and classification

Primary LanguageMATLAB

Unsupervised and Supervised Learning with the Random Forest Algorithm for Traffic Scenario Clustering and Classification

Published in IEEE IV 2019

Setup

  1. DOWNLOAD the Matlab files from Github (*.m and *.p files)

  2. DOWNLOAD the dataset as a zipped file from google drive (337 MB):
    https://drive.google.com/file/d/1voRvjNlhVArO-r8k1ZJBc6v_Mf5tjSKh/view?usp=sharing

  3. COPY all Matlab files and the dataset into one folder

  4. OPEN Main_RUN.m in Matlab

  5. RUN directly, or adapt the variables according to your needs.

    • Further information is given in the Main_RUN.m file

Data

The zipped file contains two *.mat files for the plotting function and two *.mat files with the dataset used for the clustering and classification process.

Feature Description

A description of the 47 features is given in the FeatureDescription.m file.

Compatibility

Tested on Matlab R2017b, R2018a, R2019a