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Name: Amir Rafe

Type: User

Company: Utah State University

Bio: Pedestrian Dynamics Researcher

Twitter: rafeamir

Location: Logan, UT

Hi 👋 My name is Amir Rafe

🚶 Enthusiast in Pedestrian Studies & 🤖 Applied AI

My passion lies in understanding the complexity of human behavior in urban environments, particularly as it relates to crowd dynamics and emergency evacuation modeling. I am constantly exploring new methods and techniques to develop mathematical models and agent-based simulations that accurately capture these phenomena. Additionally, I have a strong interest in statistics and programming, and I am always looking for ways to leverage these skills to enhance my work in pedestrian dynamics. As cities continue to evolve and grow, I believe that a deeper understanding of human behavior and pedestrian dynamics will be crucial to creating smarter, safer, and more efficient urban environments.

🌍 I'm based in Logan, UT
✉️ You can contact me at [email protected]

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Amir Rafe's Projects

agent-based-traffic-evacuation-model

An Agent Based NetLogo simulation for city evacuation during a chlorine spill.

agent_based_traffic_simulation

Agent Based Traffic Simulation

awesome-crowdynamics

A curated collection of open-source tools and resources for studying and analyzing crowd dynamics, pedestrian flow, and evacuation strategies.

chord

This repository contains code to visualize Origin-Destination (OD) matrices using a chord diagram.

crashautoml

Crash Severity Analysis using Automated Machine Learning (AutoML) method

evacuaidi

Stadium Evacuation Path Finder

evacuaipod

EvacuAIPod: AI-bot for Crowd Evacuation Podcasts

github-pages-with-jekyll

matsim

Multi-Agent Transport Simulation

matsim-berlin

The MATSim Open Berlin Scenario

matsim-code-examples

A repository containing code examples around MATSim

matsim-example-project

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

pedat

Pedestrian data visualization dashboard

pedcrashaim

Adaptive Interpretive Modeling (AIM) pipeline for pedestrian crash severity analysis

pedestrians

(retired) A pedestrian simulation tech demo

pedimpute

This repository contains code and resources for the paper "Imputing Time Series Pedestrian Volume Data with Consideration of Epidemiological-Environmental (EpiEnv) Variables". It includes methodologies for data imputation in time-series pedestrian volume data considering EpiEnv factors.

pozapas

pozapas.github.io

pushbuttonviz

Pedestrian push button data visualization

python-for-transportation-modeling

How to use Python for a variety of transportation modeling tasks

sf_abm

Traffic model: network, demand and agent-based simulation for San Francisco or other cities.

social-force-model_ga

Social Force Model (SFM) calibration by Genetic Algorithm

socialforcemodel

Social Force Model - NetLogo

streamcapt

A Python script using OpenCV and pandas to record videos from multiple UDP streams simultaneously.

sumo

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

traffcongesdlm

Prediction of Traffic Congestion Pattern by Deep Learning Method

tranpy

This repository helps transportation engineers and students to learn how to implement transport models in python.