关于一、三级公路安全性认知因素的试验建模研究

在实测86处一级公路典型路段和188处三级公路典型路段道路结构基础上,确定驾驶员对国道一、三级公路的安全性认知因素集,进而针对一级公路的38处样本路段和三级公路的77处样本路段,组织47名驾驶人员进行现场认知评价试验,并应用模糊集合原理和模糊统计方法对评价试验得到的2829组(一级路673组、三级路2156组)有效认知试验评语数据进行分析处理,得到一、三级公路安全性认知因素的模糊评价隶属函数,从而给出驾驶人员对一、三级公路道路条件和交通环境的安全性模糊评价模型。     

磁导航车体运动数字控制系统数学模型研究

探讨磁导航车体运动数字控制系统的数学模型。用实验方法建立磁导航车体运动数字控制系统典型环节的时间连续数学模型,结合车体运动机械操纵环节的传统数学模型建立整个控制系统的时间连续数学模型。利用Z变换方法把控制系统时间连续数学模型转换成离散数学模型,引入数字控制系统典型环节的数学模型,建立磁导航车体运动数字控制系统的离散数学模型。设计数字控制系统的二次型最优控制器并进行计算机仿真。仿真分析结果验证了数学模型的有效性。     

新疆公路三级区划中环境参数的提出

自然环境条件对公路工程的影响，主要体现在路线选取、路基强度和稳定性、路面稳定性和耐久性、公路主要自然病害(包括冻融、翻浆、雪害、风沙害、崩塌、滑坡和地震灾害等)、施工条件和养护运营环境等5个方面，分析自然条件和公路工程的关系，提出公路区划中地质地貌环境参数和水热状况环境参数。阐述了环境参数的提出过程，为新疆公路自然区划三级区的划分提供依据。     

公路路基侧滑失稳的防治技术

公路路基侧滑失稳对公路建设和运营安全构成严重威胁，而且具有突发性，危险极大。由于情况复杂，此类工程处治技术难度较大，本文结合多项具体的工程实例对此进行详细介绍，具有较高的参考价值。     

挂篮底模纵梁受力简化计算方法及承重分配系数

以一桥梁施工工程实例为依托,采用有限元软件ANSYS对桥梁悬臂施工中使用的菱形挂篮进行仿真分析.提出3种简化模式计算底模纵梁的承重分配,对比发现将底模纵梁承受的外荷载简化为集中荷载,并分配至挂篮下前后横梁的方法是最优简化计算方法.在此基础上对挂篮底模纵梁承重分配系数进行优化,从而简化了繁琐的挂篮底模纵梁受力分析计算,保证了挂篮结构设计和施工的安全.     

大神高速公路穿越矿区选线思路

结合山西省大营至神池高速公路设计经验,对矿区公路的特点进行了总结归纳,并以实际工程为例,提出了选线设计的总体原则和主要思路,供设计人员参考。     

公路建设项目征地拆迁补偿费用确定与控制方法研究

文中以广东省公路建设项目征地拆迁费用的确定为例,以现行实施的征地拆迁补偿相关规定为基础,探讨征地数量和标准的计量、计算方法,建立征地拆迁标准动态数据库,以期对征地拆迁费用的确定和控制提供思路和实际操作指导。     

The symmetric intersection design and traffic control optimization

It is well recognized that the left-turning movement reduces the intersection capacity significantly, because exclusive left turn phases are needed to discharge left turn vehicles only. This paper proposes the concept of Left-Hand Traffic (LHT) arterial, on where vehicles follow left-hand traffic rules as in England and India. The unconventional intersection where a LHT arterial intersects with a Right-Hand Traffic (RHT) arterial is named as symmetric intersection. It is only need three basic signal phases to separate all conflicts at symmetric intersection, while it at least need four signal phases at a conventional intersection. So, compared with the conventional intersection, the symmetric intersection can provide longer green time for the left-turning and the through movement, which can increase the capacity significantly. Through-movement waiting areas (TWAs) can be set at the symmetric intersection effectively, which can increase the capacity and short the cycle length furthermore. And the symmetric intersection is Channelized to improve the safety of TWAs. The Binary-Mixed-Integer-Linear-Programming (BMILP) model is employed to formulate the capacity maximization problem and signal cycle length minimization problem of the symmetric intersection. The BMILP model can be solved by standard branch-and-bound algorithms efficiently and outputs the lane allocation, signal timing decisions, and other decisions. Experiments analysis shows that the symmetric intersection with TWAs can increase the capacity and short the signal cycle length.     

公路工程施工管理质量研究

公路工程施工管理直接关系到工程项目的质量,在施工中加强管理控制是十分必要的,结合公路工程施工管理的特点,对影响公路工程管理质量的因素进行分析,并提出具体解决对策,对类似工程施工有一定的指导意义.     

A copula-based approach for estimating the travel time reliability of urban arterial

Estimating the travel time reliability (TTR) of urban arterial is critical for real-time and reliable route guidance and provides theoretical bases and technical support for sophisticated traffic management and control. The state-of-art procedures for arterial TTR estimation usually assume that path travel time follows a certain distribution, with less consideration about segment correlations. However, the conventional approach is usually unrealistic because an important feature of urban arterial is the dependent structure of travel times on continuous segments. In this study, a copula-based approach that incorporates the stochastic characteristics of segments travel time is proposed to model arterial travel time distribution (TTD), which serves as a basis for TTR quantification. First, segments correlation is empirically analyzed and different types of copula models are examined. Then, fitting marginal distributions for segment TTD is conducted by parametric and non-parametric regression analysis, respectively. Based on the estimated parameters of the models, the best-fitting copula is determined in terms of the goodness-of-fit tests. Last, the model is examined at two study sites with AVI data and NGSIM trajectory data, respectively. The results of path TTD estimation demonstrate the advantage of the proposed copula-based approach, compared with the convolution model without capturing segments correlation and the empirical distribution fitting methods. Furthermore, when considering the segments correlation effect, it was found that the estimated path TTR is more accurate than that by the convolution model.