113 citations · 175 across the 5 of their papers we have counts for
5 papers
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,…
Safety Evaluation of Transit Signal Priority with Bus Speed Volatility as a Surrogate Measure: Case Study in Minnesota
Yu Song, Hoki Tse, Eric M. Lind +2
Previous studies have found correlations between the implementation of transit signal priority (TSP) and the reduction in number of crashes. To further understand how TSP affects t…
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…
People's Attitudes Toward Automated Vehicle and Transit Integration: Case Study of Small Urban Areas
Yu Song, Madhav V. Chitturi, Chris McCahill +1
Previous surveys of public attitudes toward automated vehicle (AV) and transit integration primarily took place in large urban areas. AV-transit integration also has a great potent…
Automated Vehicle Crash Sequences: Patterns and Potential Uses in Safety Testing
Yu Song, Madhav V. Chitturi, David A. Noyce
With safety being one of the primary motivations for developing automated vehicles (AVs), extensive field and simulation tests are being carried out to ensure AVs can operate safel…