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@@ -34,6 +34,8 @@ https://docs.google.com/document/d/e/2PACX-1vTLZXseiFM7tj_tnSY-vL8N2k3irDRTSqwzv
Please check out our presentation here: https://docs.google.com/presentation/d/1vNdAFJx5t_iM4446ipskURUgg3PDKBB9OMs3CCBuf4k/edit?usp=sharing
Website files: https://drive.google.com/file/d/1YOGSb5vm_1kcioGTqZd5DnjahvTiOhSr/view?usp=sharing
# Project Overview, Problem, Solution, Learning Process
We started this semester learning about the HASH.ai engine and what it offers. In summary, HASH.ai is a simulation platform for modeling complex behaviors of agents for use cases like predicting the spread of COVID19 in a city to visualizing the movement of Amazon's products in its warehouse. After some brainstorming within our 4 person team, we decided that we wanted to focus our efforts on a traffic simulation on two granularities: intersection to intersection and large scale delivery routing. These two simulation codes are detailed in the folders in this repository.