LOS Prediction

LOS Prediction Under Rainy Weather Conditions with machine learning

Relative Fields: Transportation, Programming

Project Overview

As the raindrops tap dance on the pavement, my mind orchestrates a symphony of algorithms. In the realm of transportation, we embark on a voyage to decipher the secrets veiled beneath rainy skies. With machine learning as our compass, we navigate through torrents and traffic jams, seeking to unveil the elusive Level of Service (LOS). Join us on this odyssey as we harness the power of data to illuminate the murky corridors of transportation management. Let’s embark on a journey where every raindrop holds a promise of insight. 🌧️🚗

Project Steps :

  1. Downloading UTD19 data. (link)
  2. Preparing the data to train with Neural Network.
  3. Extract the data and model.

Results of The Project

Code Sources :

This modeling is doing by python.

Here you can fine all codes and results :

Github-LOS-Prediction

 

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