[Day 149] Learning about the Origin-Destination Matrix Prediction problem in passenger prediction tasks
Hello :) Today is Day 149! A quick summary of today: back in the lab and read 2 papers about Origin-Destination Matrix Prediction via Graphs I decided to start using obsidian to take notes and it is amazing. It is also good practice writing math using latex. Also for some reason I cannot copy paste the math formulas, so some of the text below is in pictures so that the formula (math notation) can be included for clarity. I need to figure out a way to better share these notes. Paper 1: Gallat - Passenger Mobility Prediction via Representation Learning for Dynamic Directed and Weighted Graph (DDW) Introduction At first, studies concentrated on passenger demand as a function of starting location and time period. However, this failed to account for the passengers' destination. This was tackled by the definition of Origin-Destination Matrix prediction problems, where there are different time slots with their own OD matrix describing travel demand from region i to region j. Based on th