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The Hyperion Street Safety Coalition requests that a 1-mile segment of Hyperion Avenue be included in this pilot program. Specifically, the Coalition requests speed cameras at three locations where lights are frequently run:

• Hyperion/Tracy/Entrance — site of multiple vehicles crashing into 2449 Hyperion and a former bus stop
• Hyperion/Lyric — site of a downhill curve enabling dangerously high speeds
• Hyperion/Fountain — site of multiple recorded crashes

These three locations are requested in addition to a camera near Thomas Starr King Middle School, also within our corridor.

Since 2021, our initiative has grown from one Neighborhood Council into a 500+ member Coalition supported by schools, businesses, and community organizations united in combating traffic violence. The 1 1/2-mile Hyperion-Fountain corridor has evolved from an auto-centric roadway into one with lively restaurants, retail, schools, and creative offices — yet the infrastructure remains designed for high speeds, enabling drivers to regularly exceed the limit by 20+ mph.

Our community has witnessed multiple fatalities, countless injuries to drivers, pedestrians, and cyclists — overturned cars, storefront crashes, crushed bus benches, uprooted street poles. These incidents are costly on every level: emotional, physical, and economic. We believe the time for action is now, especially given our demonstrated community support.

We have also learned that since January 2021, LAPD has entirely stopped collecting data for “minor” crashes, creating a sharp discontinuity in crash data quality. If LADOT’s analysis ignores post-2020 data, how is the agency accurately validating High Injury Networks? Our steering committee has conducted independent speed radar testing and a full collision analysis along both Hyperion and Fountain. Our findings are clear: there is far more than 2.3% speeding, and far more than 3 speed-related collisions — all documented at https://hyperionstreetsafety.com/.

We urge LADOT to include Hyperion Avenue in this pilot and to engage meaningfully with community-generated data.