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Injury Severity Prediction of Traffic Collision by Applying a Series of Neural Networks: The City of London Case Study
Abstract : 1109
PDF : 659
Riding the Edge – Unveiling the Key Factors behind Injury Severity in Single-Vehicle Motorcycle Crashes
Abstract : 1596
PDF : 631
Development of a Partial Proportional Odds Model for Pedestrian Injury Severity at Intersections
Abstract : 822
PDF : 489
Exploring Factors Influencing Injury Severity of Bicyclists in Crashes with Motor Vehicles – Combined Latent Class Clustering and MNL Model
Abstract : 297
PDF : 191
A Data Mining Approach to Identify Key Factors of Traffic Injury Severity
Abstract : 2066
PDF : 2389
Prediction and Investigation of the Injury Severity of Drivers Involved in Speeding-Related Crashes Using Machine Learning Models
Abstract : 704
PDF : 295
Impact of Data Balancing and Feature Engineering on Accident Severity Models
Abstract : 1037
PDF : 443
Prediction of Fatal and Major Injury of Drivers, Cyclists, and Pedestrians in Collisions
Abstract : 988
PDF : 779
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