activity
20182026
most citedAutomated Vehicle Crash Sequences: Patterns and Potential Uses in Safety Testing

113 citations · 210 across the 11 of their papers we have counts for

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5 papers · 1 filter

stat.AP2023

Developing a Conceptual Tribal Crash Safety Dashboard: Data-Driven Strategies for Identifying High-Risk Areas and Enhancing Tribal Safety Programs

Tianyi Chen, Haotian Shi, Steven T. Parker +3

Tribal lands in the United States have consistently exhibited higher crash rates and injury severities compared to other regions. To address this issue, effective data-driven safet…

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…

stat.AP2021★ 113 cited

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…

stat.AP2018★ 31 cited

Effects of Transit Signal Priority on Traffic Safety: Interrupted Time Series Analysis of Portland, Oregon, Implementations

Yu Song, David Noyce

Transit signal priority (TSP) has been implemented to transit systems in many cities of the United States. In evaluating TSP systems, more attention has been given to its operation…