Olympic Traffic Data Analysis
This page presents detailed data insights from our traffic analysis, showcasing venue congestion metrics, busiest intersections, and comparative traffic patterns to help prepare for the 2028 Olympic Games.
1. Venue Congestion Overview
This table summarizes traffic behavior around Olympic venues during event simulations, highlighting congestion severity.
| Venue | Avg Traffic Volume Index | High Congestion Hours | Total Time Periods |
|---|---|---|---|
| Crypto.com Arena | 48.46 | 96 | 96 |
| LA Coliseum | 47.93 | 0 | 96 |
| Long Beach Convention Center | 48.80 | 0 | 96 |
| Santa Monica Beach | 50.53 | 96 | 96 |
| SoFi Stadium | 48.66 | 96 | 96 |
Conclusion: Santa Monica, SoFi Stadium, and Crypto.com Arena experience high congestion consistently, while other venues see moderate to low impact.
2. Top 5 Busiest Intersections
Using average total traffic volumes across multiple dates, we identify high-demand traffic nodes from the LADOT dataset.
| Intersection | Avg Total Volume | Count of Records |
|---|---|---|
| HIGHLAND AV & LELAND WAY | 94,756 | 1 |
| SEPULVEDA BL & LINCOLN BL | 78,847 | 2 |
| FOUNTAIN AV & HYPERION AV | 77,442 | 1 |
| CRENSHAW BL & 9th ST | 77,294 | 1 |
| LACONIA AV & HOOVER ST | 76,117 | 1 |
Conclusion: These intersections are historic congestion points and may require attention or mitigation strategies during Olympic events.