关键词: 桥梁工程, 实测交通数据, 可靠度理论, 概率算法, 多车道横向折减系数

Abstract: Based on the measured traffic loading data, the reliability theory was employed to analyze the traffic flow characteristics. The probability distribution of the given type heavy truck was a double Weibull distribution, which was put forward according to the measured traffic volume and vehicle weight information. On the basis of the measured wheelbase, the wheelbase representative values were obtained by using kernel density estimation method. In accordance with the measured vehicle velocity, the distribution type of vehicle velocity was also obtained. Moreover, the distribution of 0.05 tantile was used as the representative vehicle velocity. A relational expression among the maximum loading (Wmax), mean (μ), and standard deviation (σ) of vehicle weight could be fitted by using regression analysis. Furthermore, the variation coefficient could be obtained by using statistics method based on vehicle weight’s samples. Finally, the multi-lane transverse reduction factors suitable for the current traffic condition were proposed by the probabilistic algorithms.

Key words: bridge engineering, measured traffic data, reliability theory, probabilistic algorithms, multi-lane transverse reduction factor