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Aug 30, 2023
The Analysis of the Influence of Occupants’ Characteristics on Crash Severity Based on the Mixed Linear Model
Authors: Di Yu [email protected], Fei Ma [email protected], Zehua Liu [email protected], Rongjian Dai [email protected], Xu Wang [email protected], and Xin Wang [email protected]Author Affiliations
Publication: CICTP 2023
ABSTRACT
To investigate and quantify the influencing factors of highway traffic crashes, as well as to thoroughly examine the impact of occupants’ characteristics on crash severity, 15 independent variables were extracted from four aspects, including people, vehicles, roads, and environment, and defined as 15 indicators using the method of processing categorical variables. General linear analysis and the generalized linear mixed model were used to investigate crash aggregation and build a highway crash severity impact model using the crash data of California highways. Findings show that factors including the number of vehicles involved in a crash, type of crashes, type of vehicles, and lighting significantly impact the severity of a collision with hierarchical aggregation. The severity of highway crashes is influenced considerably by the driver’s age, gender, physical condition, the severity of injuries to the occupants, seat position, safety precautions, and other occupants’ variables.
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Published online: Aug 30, 2023
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ASCE Technical Topics:
- Data analysis
- Engineering fundamentals
- Highway and road management
- Highway transportation
- Highways and roads
- Infrastructure
- Linear analysis
- Methodology (by type)
- Models (by type)
- Research methods (by type)
- Structural analysis
- Structural engineering
- Traffic accidents
- Traffic analysis
- Traffic engineering
- Traffic management
- Traffic models
- Traffic safety
- Transportation engineering
- Vehicle impacts
Authors
Affiliations
1School of Qilu Transportation, Shandong Univ., Jinan, China. Email: [email protected]
2School of Qilu Transportation, Shandong Univ., Jinan, China. Email: [email protected]
3School of Qilu Transportation, Shandong Univ., Jinan, China. Email: [email protected]
4School of Qilu Transportation, Shandong Univ., Jinan, China. Email: [email protected]
5School of Qilu Transportation, Shandong Univ., Jinan, China. Email: [email protected]
6School of Civil Engineering, Shandong Univ., Jinan, China. Email: [email protected]
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