Cities pursuing Vision Zero have long used geospatial and data science applications to better understand their crash data from a map-based perspective. Conventional approaches have been limited by two factors. The first limitation is low frequency crash data which only provides a lagging indicator of dynamic and evolving road safety issues. The second limitation is the need for skilled geospatial analyst time to design, prepare, run, and interpret map-based queries.
Wichtige Erkenntnisse
This session covers how two technological advancements can remove these limitations and unlock new opportunities in vision zero mapping:
- AI, which makes it possible to engage conversationally with geospatial road safety data instead of manually running, designing, and interpreting queries.
- Intelligent Transportation Systems, which can now produce leading predictive road safety indicator data at a very high frequency.
Who Should Watch
- Transportation Directors & TSM&O Leaders: Strategic leaders who need to maximize the output of current staff and justify budget allocations through evidence-based reporting.
- Traffic Engineers & Analysts: Technical professionals looking to eliminate “data drudgery” and reclaim time for proactive safety design and network optimization.
- Traffic Safety & City Planning: Stakeholders focused on Vision Zero and multimodal goals who need to translate complex technical metrics into clear community value.
Moderatoren:
Brent Rogerson, Director, Solutions Engineering, Miovision
Christopher Rider, Acting Principal Transportation Engineer, Vision Zero Innovations, LADOT
Craig Milligan, Ph.D., P.Eng., RSP2I, Road Safety Engineer, Fireseeds North
Peter Croswell, Past President, URISA and President, Croswell-Schulte Information Technology Consultants