Built SF Park Assist Simulator

Graduate Research Assistant at a university with 10,001+ employees

• Implementation of real time, probabilistic and baseline greedy approaches to find parking spots and route the user of the system to a parking location. I
• Implementation based on Deterministic Magnitude GRA (DM-GRA) described in detail in the paper “Spatio-temporal Matching Algorithms for Road Networks” - Daniel Ayala, Ouri Wolfson, Bo Xu, Bhaskar DasGupta.
• Implementation of advanced parking search techniques boosted performance (in terms of total time saved per ride on average) by 34% compared to the baseline approach.
Languages/Technologies: Python3, Pandas Dataframes, MySQL, HTML/Java Script(minimalistic front-end)