Neccessariy code and data to reproduce results contain in "Modeling curbside parking as a network of finite capacity queues" by Chase Dowling, Lillian Ratliff, and Baosen Zhang, published in IEEE Transactions on Intelligent Transportation Systems, 2019.
This repository contains two main directories: -./congestion: code and data neccessary to reproduce congestion and time delay estimation results -./spatial-data-analysis: a git submodule (owned by Tanner Fiez, https://github.com/fiezt/spatial-data-analysis) containing code and data neccessary to reproduce GMM model results
Instructions for re-executing code can be found in each respective directory.
Note ./congestion/data contains all essential data for both experiment directories, as well as a data manifest (data_notes.txt) with detailed descriptions of the contents of each data file and subdirectory.
All code was written and tested in unix environments.
-Python 2.7+
pandas==0.20.3
seaborn==0.8.1
scipy==0.19.1
gmplot==1.1.1
matplotlib==2.0.2
numpy==1.13.1
scikit_learn==0.19.0
Questions can be sent directly to cdowling@uw.edu