VRU-Aware GLOSA: Integrating VRUs into Green Light Optimized Speed Advisory for Right-Turn...

on YouTube ↗20m

" summary

A VRU-aware overlay sits on top of classical GLOSA and predicts right-turn conflicts using a 2-second temporal window, overriding the nominal advisory with a yielding speed so vehicles arrive at least 2s after the last cyclist. Implemented in SUMO on a digital twin of an Ingolstadt intersection with TRACCAS control, it reduces critical TTC encounters from ~70% to ~40% and raises PET≥2.5s interactions from 2.4%/5% to 54%, while cutting stops ~21–32% and adding only ~1.6–9.4% travel time.

AI-written summary · about

" chapters (14)

1. 0:00VRU-aware GLOSA intro
2. 0:42Motivation for VRU protection
3. 3:09Classical GLOSA limitations
4. 4:59Three key contributions
5. 6:03VRU-aware GLOSA architecture
6. 8:51Conflict prediction logic
7. 9:13Simulation in Ingolstadt twin
8. 10:40Safety and efficiency metrics
9. 11:21Study A realistic results
10. 13:05Efficiency trade-offs A
11. 14:32Study B cyclist sensitivity
12. 17:00Study B behavior trade-offs
13. 18:04Summary of findings
14. 19:09Future work and validation