temetski
Postdoctoral Researcher at the Professorship of Computational Social Science, ETH Zürich
@ethz-cossZürich, Switzerland
Pinned Repositories
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's Repositories
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