Design speed based reliability index model for roadway safety evaluation

Oh, Heung-Un; Mun, Sungho

doi:10.1007/s12205-012-1469-9

Cited by 18 publications

(1 citation statement)

References 10 publications

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“…Vehicle is also one important part influencing the highway safety and many accidents occur because of or partly because of vehicle aspect. Artus et al (2005) holed the idea that the surface temperatures of the brake discs are closely connected to the braking efficiency and the braking efficiency are closely connected to the highway safety; many traffic accidents occur due to a loss of control on vehicle by the driver and this is mainly due to a loss of friction between tire and road (Ghandour et al, 2010); the vehicle speed is also connected to highway safety, the higher the vehicle speed was, once the accident occurred the more severe the result was, so many highways set speed limit to reduce accidents (Garber et al, 2006;Oh and Mun, 2012). So the vehicle is one aspect we have to consider connected to highway safety.…”

Section: Introductionmentioning

confidence: 99%

Mountainous Freeway Risk Degree Forecast Model of Case Study: Changjin Freeway in Jiangxi Province

Zhang¹,

Ma²,

Chen³

2013

RJASET

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The objective of this study is to establish the mountainous freeway risk degree forecast model. Highway safety, especially mountainous freeway, relates to person, vehicle, road and environment four aspects including many factors. Firstly, this study analyzed some researches about the highway safety from these four aspects respectively. Secondly, this study considered many factors of these four aspects, established the mountainous freeway risk degree forecast model, listed the survey content needed in the forecast model. Finally, this study took Changjin Freeway in Jiangxi Province, China as example, used 91 accident data from January, 2006 to July, 2012, adopted the multiple linear regression method using spss 17.0 to obtain each parameter value of the forecast model and analyzed some parameter values to the mountainous freeway safety. The mountainous freeway risk degree forecast model is necessary and useful to evaluate the risk degree for constructed mountainous freeway, to estimate the safety of unconstructed mountainous freeway and to provide basis to improve mountainous freeway safety.

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