Estimation of Accident Injury Severity of Vehicle Groups Considering Multi-factor Coupling

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Estimation of Accident Injury Severity of Vehicle Groups Considering Multi-factor Coupling

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[1]Jin Wenzhou,Yao Yinjie,Estimation of Accident Injury Severity of Vehicle Groups Considering Multi-factor Coupling[J].Journal of Zhengzhou University (Engineering Science),2021,42(03):1-7.[doi:10.13705/j.issn.1671-6833.2021.03.001]

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 42卷 Number of periods: 2021 03 Page number: 1-7 Column: Public date: 2021-05-10

Title:: Estimation of Accident Injury Severity of Vehicle Groups Considering Multi-factor Coupling

Author(s):: Jin Wenzhou; Yao Yinjie;; School of Civil and Transportation, South China University of Technology;

Keywords:: highway vehicle group; injury degree; random parameters; multi-factor coupling; heterogeneity

CLC:: -

DOI:: 10.13705/j.issn.1671-6833.2021.03.001

Abstract:: In order to explore the influencing factors and their heterogenous impacts on vehicle groups accident under the multi-factor coupling effect, a random parameter logit model was developed based on 21 types of alternative factors in 4 aspects (road characteristics, driver characteristics, vehicle characteristics, environmental factors) from the road crash data of Texas in 2016. And the marginal effect formula was used to measure the impact of each factor on the level of collision damage. The model estimation results showed that 15 types of single factors such as driver gender, age, the use of seat belts, the release of airbags, and 4 coupling factors such as all seat belts-airbag initiation, elderly drivers-large trucks were significantly related to the degree of road vehicle accident injury; road speed limited >100 km/h, and the release of airbags had differences in the degree of injury from different accidents. The research results could have a certain guiding role in reducing the severity of highway multi-vehicle accidents.

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Last Update: 2021-06-23