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Forecasted traffic volume from 2016-2018 data to reduce traffic congestion and efficiently schedule road maintenance using time series models.

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sheldonsebastian/Traffic_Prediction_Using_Time_Series

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README:

Final Report:

https://sheldonsebastian.github.io/Traffic_Prediction_Using_Time_Series/

Folder Structure:

Path Description
data contains raw traffic volume data
docs contains files for website
Term Project Report.pdf Project report as pdf
TermProject.py code to create models and plot graphs
ToolBox.py common utility functions

Steps to replicate project:

  1. Download data from here.
  2. Place data in data folder.
  3. Run TermProject.py

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Forecasted traffic volume from 2016-2018 data to reduce traffic congestion and efficiently schedule road maintenance using time series models.

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