2 天前 - … The study analyzed several key parameters, including daylight, the crash type, day
of … daily traffic, as input variables to predict the number of vehicles involved in rural crashes. …

7 天前 - … , and femur injury risk in crash testing. This project aimed … to the physical test results
they predicted. The two FE aPLI … most used software for crash simulations and calculations…

9 天前 - … locations where traffic crashes occur at eye level. The proposed framework not only
achieves excellent prediction performance but also enhances understanding of traffic crash …

10 天前 - … The Poisson Regression model was used to analyze the data on road traffic crashes
of … The scatter-plots are clustered and it has few outliers from the predicted line. This is …

11 天前 - … agencies monitor traffic flow, identify crashes, and … , and thus enhance traffic safety
in RITI communities in the … trajectory prediction, which leverages LSTM networks to predict …

12 天前 - … weather, infrastructure attributes, and traffic data have become … learning algorithms
automating crash prediction and factor … into how traffic conditions and dynamics impact crash …

12 天前 - … traffic safety literature by evaluating the efficacy of advanced machine learning and
deep learning techniques in analyzing pedestrian crash … for crash severity prediction. The …

14 天前 - … The key objective of this study is to investigate the role of gaze patterns in traffic
crashes by studying the temporal pattern of gazes before SCEs. The study explores whether …

14 天前 - … still injured and killed in traffic crashes in the United States… the relationship between
surrounding crash risk factors and … crash risk factors predict actual pedestrian crashes in the …

14 天前 - … views of police legitimacy predicted transient driving … reporting that road traffic
crashes are the leading cause of death … In Australia, road traffic crashes are the second leading …