temetski

fmm

Fast map matching, an open source framework in C++

create-network-bpr

Build a bay area network and BPR coefficients for traffic assignment

disrupt_traffic

ethz-coss.github.io

flow

Computational framework for reinforcement learning in traffic control

gym_env_tutorial

keras

Deep Learning for humans

msds-ml3-rl

Reinforcement Learning notebooks for MSDS ML3 guest lecture

msds_abm

Network-Science-Lectures

Network Science, Complex Networks

otm-mpi

MPI connections for otm-sim

PedestrianCrowding

Code for modeling effects of pedestrians on vehicular traffic. Used in our work: "Crossover transitions in a bus–car mixed-traffic cellular automata model."

traffic_simulation

Freeway traffic simulator based on the Nagel-Schreckenberg model

Reinforcement-Learning-Cheat-Sheet

Reinforcement Learning Cheat Sheet

seaborn

Statistical data visualization in Python

STL10

Python utilities for reading the STL-10 dataset: http://cs.stanford.edu/~acoates/stl10/

sumo

Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.

sumo_conda

Scripts to install a working build of sumo using only the conda compiling toolkit

temetski.github.io