Probabilistic assessment of vehicle safety under various driving conditions: a reliability approach

被引：3

作者：

Chen, Feng ^{[1
]}

Chen, Suren ^{[2
]}

机构：

[1] Tongji Univ, Key Lab Rd & Traff Engn, Minist Educ, Shanghai 201804, Peoples R China

[2] Colorado State Univ, Dept Civil & Environm Engn, Ft Collins, CO 80523 USA

来源：

INTELLIGENT AND INTEGRATED SUSTAINABLE MULTIMODAL TRANSPORTATION SYSTEMS PROCEEDINGS FROM THE 13TH COTA INTERNATIONAL CONFERENCE OF TRANSPORTATION PROFESSIONALS (CICTP2013) | 2013年 / 96卷

关键词：

Safety index; Accident risk; Simulation; Reliability; Implicit limit state function; RESPONSE-SURFACE APPROACH; ROAD VEHICLES; CROSS WINDS; DYNAMIC-ANALYSIS; HEAVY VEHICLES; BRIDGE; ENVIRONMENTS; ACCIDENTS; ROLLOVER; PREVENT;

D O I：

10.1016/j.sbspro.2013.08.270

中图分类号：

U [交通运输];

学科分类号：

08 ; 0823 ;

摘要：

A probabilistic assessment model of vehicle safety under various driving conditions based on reliability method is developed. This model is built according to the advanced transient dynamic vehicle simulation models which can consider the coupling effects between vehicles and various driving conditions, such as wind gust, snow-covered or icy road surface and/or curving. By considering uncertainties of critical variables, the safety index is introduced to provide rational assessment of accident risks. In order to consider the complicated implicit limit state functions, the response surface method (RMS) is adopted to provide an efficient estimation of accident risks. Finally, the impacts of different critical variables on accident risks of a typical truck under several representative hazardous scenarios are investigated. (C) 2013 The Authors. Published by Elsevier Ltd.

引用

页码：2414 / 2424

页数：11

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