AAA Safe Mobility Conference

2026 · Seattle, Washington — Two podium presentations on crash-pattern modeling and the extraction of network-wide safety indicators from emerging data.

Presentation archive

Research shared at this conference.

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Podium presentation

Can Surrogate Safety Measures Explain Crash Patterns at Signalized Intersections? Evidence from Network-Wide Connected-Vehicle Data Using Negative Binomial, Random Forest, and Diffusion GNN Models

Demonstrates complementary approaches for evaluating whether connected-vehicle surrogate measures help explain crash patterns.

Publication: Journal of Safety Research article ↗Request slides or poster ↗

Podium presentation

AI-Driven Extraction of Network-Wide Safety Indicators from Next-Generation Sensing Sources

Translates image, sensor, and mobility data into safety indicators designed for practical network screening.

Report: NCHRP Research Report 1152 ↗Request slides or poster ↗

Conference photos

Selected moments from the event.

Mehrdad Nasri presenting at the AAA Safe Mobility Conference — Sharing proactive safety analytics with the Safe Mobility community.

AAA Safe Mobility Conference session — A conference exchange on emerging transportation-safety methods.