Study On Driving Risk Identification In Complex Sections On Expressway Under Adverse Weather

The expressway has been developing rapidly in our country and has made some breakthroughs, at the same time, the development strategy of expressway in our country focuses on the poverty-stricken area recently. However, these areas always have complicated terrain conditions and complicated weather, not only brings great difficulties to design and construction, traffic safety problems after completion have also added many challenges to expressway administrators.This paper mainly studied on driving risk analyze in complicated sections and adverse weather conditions with various influence on passenger cars and trucks and get relevant risk probability, finally get sections risk size. Specifically, critical adhesion coefficient and load transfer ratio have been used respectively as the evaluation index of passenger cars and trucks, then compared them to road adhesion coefficient and threshold value of load transfer ratio, the factors’ affecting strength and primary and secondary sequence have been analyzed with the orthogonal experiment method, and with knowledge of mathematical statistics, the probability of driving risk analyzed, and the driving risk size under different factors has also been considered through fuzzy comprehensive evaluation method.This paper determined the factors including driving speed, circular curve radius, superelevation, longitudinal slope, rainfall and transverse wind through the driving risk analysis on complicated sections and adverse weather conditions, CARSIM software and TRUCKSIM software are used to construct passenger cars and trucks vehicle dynamics simulation model respectively. Used single factor analysis method to confirm the factors impact on driving risk. Orthogonal experiment method is used to determine factors affecting strength. Used confidence interval method to get risk probability on passenger cars and trucks respectively, and the driving speed and circular curve radius size’s large influences on driving risk are found. Fuzzy comprehensive evaluation is used to consider speeding and sharp turns, with comprehensive evaluation coefficient as judgment basis, and considered proportion of passenger cars and trucks and different driving speed simultaneously, got the regression model between comprehensive evaluation coefficient and circular curve radius and the ratio of passenger cars, this model can determine risk section size.In this paper, expressway traffic risk identification method under complicated sections and adverse weather conditions of research helps to establish risk assessment of expressway traffic system and put forward the danger recognition method of driving road, safety technology of expressway driving in dangerous sections is provided, it can protect expressway traffic unobstructed and expressway assets from accident damage, reduce the incidence of malignant traffic accidents and maintenance of expressway traffic industry image.