TY - GEN
T1 - Evaluating Factors Affecting the Drivers’ Injury Severity and Safety in Traffic Crashes
AU - Obeidat, Mohammed Said
AU - Obeidat, Rahma Mohammad
AU - Al Theeb, Nader A.
AU - Ashour, Omar
N1 - Publisher Copyright:
© IISE and Expo 2023.All rights reserved.
PY - 2023
Y1 - 2023
N2 - Traffic crashes have become a leading cause of injury and death worldwide. This study analyzes crash data obtained from the Fatality Analysis Reporting System (FARS) database based on the negative binomial model. A crash frequency model was constructed for daytime crashes. The significant factors in the daytime crash frequency model were the area type (rural/urban), speeding related, number of lanes, roadway alignment, roadway grade, surface type, weather condition, and gender.
AB - Traffic crashes have become a leading cause of injury and death worldwide. This study analyzes crash data obtained from the Fatality Analysis Reporting System (FARS) database based on the negative binomial model. A crash frequency model was constructed for daytime crashes. The significant factors in the daytime crash frequency model were the area type (rural/urban), speeding related, number of lanes, roadway alignment, roadway grade, surface type, weather condition, and gender.
UR - http://www.scopus.com/inward/record.url?scp=85174905266&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85174905266&partnerID=8YFLogxK
U2 - 10.21872/2023IISE_3615
DO - 10.21872/2023IISE_3615
M3 - Conference contribution
AN - SCOPUS:85174905266
T3 - IISE Annual Conference and Expo 2023
BT - IISE Annual Conference and Expo 2023
A2 - Babski-Reeves, K.
A2 - Eksioglu, B.
A2 - Hampton, D.
PB - Institute of Industrial and Systems Engineers, IISE
T2 - IISE Annual Conference and Expo 2023
Y2 - 21 May 2023 through 23 May 2023
ER -