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abstreet

A traffic simulation game exploring how small changes to roads affect cyclists, transit users, pedestrians, and drivers.

acsauto

Automatically Download/Format American Community Survery (ACS) Data

adventures-in-ml-code

This repository holds all the code for the site http://www.adventuresinmachinelearning.com

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-mobility

datashader

Quickly and accurately render even the largest data.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

doppelganger

A Python package of tools to support population synthesizers

dynamic_time_warping

Spark (PySpark) script that applies dynamic time warping to Energy usage data (using the python fastdtw package)

fmm-examples

graph_convolutional_lstm

Traffic Graph Convolutional Recurrent Neural Network

gru-d

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

hiddenmarkovmodel_tensorflow

TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)

hvplot

A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews

iohmm

Input Output Hidden Markov Model (IOHMM) in Python

lstm-mobility-model

LSTM Mobility Model implementation using Tensorflow

macroscopic-fundamental-diagram

Simulated in Simulation of Urban MObility (SUMO)

map-matching

map-matching-1

Map Matching based on GraphHopper

map-matching-framework

matsim-code-examples

A repository containing code examples around MATSim

matsim-example-project

A small example of how to use MATSim as a library.

matsim-libs

Multi-Agent Transport Simulation

mgwr

Multiscale Geographically Weighted Regression (MGWR)

network-api

Some useful tools for traffic network optimization(Python/GAMS)

ocean

osm2gmns

reinforcement-learning-ramp-metering

RL for Ramp Metering tested with SUMO platform.

routingbehavior

Understanding vehicular routing behavior with location-based service data

shap

A game theoretic approach to explain the output of any machine learning model.