Damian Dailisan's repositories
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."
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
msds-ml3-rl
Reinforcement Learning notebooks for MSDS ML3 guest lecture
Network-Science-Lectures
Network Science, Complex Networks
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