This is a subproject under a larger project in the Sensing and Robotics for Infrastructure (SRI) Lab at UCLA. The subproject was developed by Junwon Choi and supervised by Sven Malama, MASc.
This project is currently being updated to account for larger graph representations with igraph package integration, batch processing, and automation. Click here to see the updated code.
As part of an attempt to efficiently estimate traffic levels based on demographic levels, this subproject provides an alternative method of estimating road demand in the hillside street segments of the LA transportation system using a graph representation of the Los Angeles transportation network and the LEHD Origin-Destination Employment Statistics (LODES) dataset from the U.S. Census Bureau.
This project mainly uses data from the following sources:
- StreetsLA GeoHub Street Inventory (StreetsLA, City of Los Angeles)
- Longitudinal Employer-Household Dynamics Origin-Destination Employment Statistics (LODES) (United States Census Bureau)
The following slides provide a brief overview of the subproject.
