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Connecticut Department of Transportation

United States

2 papers here46 citations across 2
fields
  • stat.AP2
ROR 01r9n3w70OpenAlex

affiliations via OpenAlex

most citedIntersection Two-Vehicle Crash Scenario Specification for Automated Vehicle Safety Evaluation Using Sequence Analysis and Bayesian Networks

40 citations

researchers with a paper here
  • D. Noyce2 · h 33
  • Madhav V. Chitturi2 · h 23
  • Yu Song2 · h 0
collaborating institutions
  • University of ConnecticutUS2 papers
  • University of Wisconsin–MadisonUS2 papers

2 papers

stat.AP2023★ 6 cited

Impact of Event Encoding and Dissimilarity Measures on Traffic Crash Characterization Based on Sequence of Events

Yu Song, Madhav V. Chitturi, David A. Noyce

Crash sequence analysis has been shown in prior studies to be useful for characterizing crashes and identifying safety countermeasures. Sequence analysis is highly domain-specific,…

stat.AP2022★ 40 cited

Intersection Two-Vehicle Crash Scenario Specification for Automated Vehicle Safety Evaluation Using Sequence Analysis and Bayesian Networks

Yu Song, Madhav V. Chitturi, David A. Noyce

This paper develops a test scenario specification procedure using crash sequence analysis and Bayesian network modeling. Intersection two-vehicle crash data was obtained from the 2…

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