temetski

amenity-water-consumption

Repository containing processed data used in "Amenity counts significantly improve water consumption predictions".

voting_traffic

AdaptableStreets

amenity-water-consumption

Repository containing processed data used in "Amenity counts significantly improve water consumption predictions".

create-network-bpr

Build a bay area network and BPR coefficients for traffic assignment

disrupt_traffic

fmm

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

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

temetski/fmm

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

temetski/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."

temetski/amenity-water-consumption

Repository containing processed data used in "Amenity counts significantly improve water consumption predictions".

temetski/create-network-bpr

Build a bay area network and BPR coefficients for traffic assignment

temetski/disrupt_traffic

temetski/ethz-coss.github.io

temetski/flow

Computational framework for reinforcement learning in traffic control

temetski/gym_env_tutorial

temetski/keras

Deep Learning for humans

temetski/msds-ml3-rl

Reinforcement Learning notebooks for MSDS ML3 guest lecture

temetski/msds_abm

temetski/Network-Science-Lectures

Network Science, Complex Networks

temetski/otm-mpi

MPI connections for otm-sim

temetski/traffic_simulation

Freeway traffic simulator based on the Nagel-Schreckenberg model

temetski/Reinforcement-Learning-Cheat-Sheet

Reinforcement Learning Cheat Sheet

temetski/seaborn

Statistical data visualization in Python

temetski/STL10

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

temetski/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.

temetski/sumo_conda

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

temetski/temetski.github.io