Name
Title | ||
|---|---|---|
Quantitative risk assessment of freeway crash casualty using high-resolution traffic data. |
Abstract | ||
|---|---|---|
•This study investigated impacts of traffic conditions on severity by collision types on freeway.•PCA was used to deal with a large number of correlated lane-specific traffic variables.•Random-parameters sequential logistic regression was used for model development.•The model explains how traffic conditions affect severity probability of different collision types.•The predictive performance of the developed model is satisfactory. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.ress.2017.09.005 | Reliability Engineering & System Safety |
Keywords | Field | DocType |
Crash casualty,Injury severity,Collision type,Principal component analysis,Bayesian sequential logistic regression | Crash,Traffic flow,Transport engineering,Risk assessment,Collision,Engineering,Statistics,Logistic regression,Standard deviation,Traffic conditions | Journal |
Volume | ISSN | Citations |
169 | 0951-8320 | 1 |
PageRank | References | Authors |
0.48 | 2 | 5 |