公路隧道水害倾向性分级的Bayes判别法及应用

为提高公路隧道整体安全性能,保障人员安全,减少财产损失,避免公路隧道水害事故的发生,将Bayes判别理论应用于公路隧道水害倾向性判别和分级中。采用影响隧道水害发生的隧道区渗透系数、降水情况、单位涌水量、构造断裂带类型、围岩分级、隧道施工情况、防排水措施情况等7项指标作为基本判别因子;将公路隧道水害倾向性分为4个等级作为Bayes判别分析的4个正态总体。以采自典型的20组公路隧道的实测数据为训练样本,建立公路隧道水害倾向性分级的Bayes判别函数。对训练后的模型运用交叉确认估计法进行验证,然后运用该模型对6条待检验的公路隧道样本的水害倾向性进行分级。研究结果表明:构建的Bayes判别分析模型误判率极低,分级效果合理有效,可以运用于公路隧道水害倾向性的分级中,有利于公路隧道水害的预防和治理。     

旅游公路景观协调性评价指标权重模型研究

为评价旅游公路景观协调性,通过对影响旅游公路景观协调性因素的分析,采用目标分解法初选评价指标,确定公路景观与交通安全、景观与视觉、景观与生态环境协调性3个目标层。在此基础上采用德尔菲法建立景观协调性评价指标体系;将景观协调性指标权重分为价值量权重和信息量权重2部分,在序关系分析法基础上充分利用指标值信息,综合主、客观赋权法,建立旅游公路景观协调性评价指标组合权重模型。结果表明:该模型可客观有效地确定各评价指标的权重。     

A Bayesian assessment of the effect of highway bypasses in Iowa on crashes and crash rate

Introduction

A common contention is that the construction of highway bypasses negatively impacts the economy of local communities by reducing pass-by traffic for businesses. However, as access to specific business' account records is limited, this impact is difficult to quantify. Another common contention is that bypasses contribute to a reduction in overall crashes in the community and in the surrounding areas. Even though a large number of bypasses have been constructed in the State of Iowa over the past several years, their actual impact in terms of traffic safety has not been quantified.

Objectives

This study seeks answers to the following questions: (a) Are bypasses in Iowa associated with a reduction in crash frequencies and crash rates on the bypassed highway? (b) Do bypasses in Iowa introduce a reduction of overall crash frequencies and rates or do they merely shift crashes from the highways through the communities to the bypasses with no significant overall reduction?

Method

We obtained crash information from the Iowa DOT at 19 sites on which a bypass was constructed sometime during the past 23 years. We also obtained the same information at six sites used as comparison sites on which no bypasses were constructed at least until 2005. We them employed a Bayesian approach to estimating the association between the construction of the bypass and crash rates, while also accounting for other factors.

Results

The construction of bypasses in Iowa is associated with a significant increase in traffic safety both on the main road through town and on the combined main road and bypass roadway.     

Random parameter models for accident prediction on two-lane undivided highways in India

Introduction

Generalized linear modeling (GLM), with the assumption of Poisson or negative binomial error structure, has been widely employed in road accident modeling. A number of explanatory variables related to traffic, road geometry, and environment that contribute to accident occurrence have been identified and accident prediction models have been proposed. The accident prediction models reported in literature largely employ the fixed parameter modeling approach, where the magnitude of influence of an explanatory variable is considered to be fixed for any observation in the population. Similar models have been proposed for Indian highways too, which include additional variables representing traffic composition. The mixed traffic on Indian highways comes with a lot of variability within, ranging from difference in vehicle types to variability in driver behavior. This could result in variability in the effect of explanatory variables on accidents across locations. Random parameter models, which can capture some of such variability, are expected to be more appropriate for the Indian situation.

Method

The present study is an attempt to employ random parameter modeling for accident prediction on two-lane undivided rural highways in India. Three years of accident history, from nearly 200 km of highway segments, is used to calibrate and validate the models.

Results

The results of the analysis suggest that the model coefficients for traffic volume, proportion of cars, motorized two-wheelers and trucks in traffic, and driveway density and horizontal and vertical curvatures are randomly distributed across locations.

Conclusions

The paper is concluded with a discussion on modeling results and the limitations of the present study.     

省内公路可移动危险源的模糊综合安全预警

为了对公路可移动危险源进行有效控制,分析了影响公路可移动危险源危险程度的因素,采用模糊综合评判方法,并通过公路可移动危险源模糊预警系统实现了公路可移动危险源的实时综合安全预警.结果表明,此方法考虑危险因素较全面,且可在屏幕实时显示各公路可移动危险源的预警结果,有利于提高安全管理水平.     

广三高速公路扩建工程中桩承式加筋路堤的现场试验

结合广三高速公路扩建工程,对素混凝土桩和PHC管桩桩承式加筋路堤工作性状开展现场试验调查,在路堤填筑中以及填筑完成后对路基沉降、孔隙水压力以及深部水平位移进行监测和分析,试验结果表明:当软土厚度小于18m时,采用桩径为50cm的C15素混凝土桩,打穿软土层,桩中心间距1.8 -2.0m,平面呈三角形布置,桩帽采用C30混凝土浇筑成尺寸为1m×1m×0.4m的面板,拓宽路基孔隙水压力变化与填土高度和桩的龄期有关,路基工后沉降得到了有效控制;当软土厚度超过18m时,采用桩径为30cm,桩壁厚7cm的PHC管桩,按照桩中心间距2.5-3.0m间距呈正方形布置,桩帽采用设置双层钢筋的C30混凝土浇筑成尺寸为1.5m×1.5m ×0.4m的面板,路堤填筑完成后预压期内路基孔隙水压力基本未发生变化,路基几乎未发生侧向位移,路基剩余沉降很小,可以节省预压时间,尽早开展路面结构层施工,开放交通.     

新疆315国道公路水毁病害形成机制与治理

水毁是新疆315国道主要病害类型。根据现场调查,将新疆315国道公路水毁分为淘底塌滑、冲蚀啃边、冲刷截断3种类型;从自然因素、气候、河床地质条件和公路自身建设缺陷系统分析了新疆315国道茫崖-且末段公路水毁的形成环境;开发了适用于该段公路的格宾箱体结构和格栅笼两类新技术,前者适用于干沟及冲沟地段的水毁防治,后者适用于戈壁滩地段的水毁防治,并分别依托工程得到了应用,通过室内物理模型试验验证了其防治效果。试验结果表明,所提治理技术具有较强的实用性及经济优势。     

隧道入口冰雪环境下驾驶员心生理特性研究*

为提高高速公路冰雪环境下隧道入口行车安全水平,探究隧道入口冰雪环境下驾驶员心生理反应特性,依据心生理理论,通过模拟驾驶试验采集驾驶员在冬季晴、雪天气下隧道入口行驶的心率增长率、速度等数据,分析照度变化率、路面摩擦系数、速度对驾驶员心生理的影响规律,明确不同影响因素下隧道入口驾驶员心率增长率变化特征,利用Matlab构建多因素耦合下隧道入口驾驶员心生理反应模型,并设计实车试验验证心生理反应模型有效性。研究结果表明:冰雪环境下隧道入口驾驶员心率增长率紧张阈值为28%,隧道入口冰雪环境下照度变化率安全阈值为51%,心生理反应模型误差小于10%,吻合程度较好。研究结果对提高山区高速公路隧道入口冰雪环境的行车安全性、降低隧道入口事故风险具有重要意义。     

谭裕沟隧道VOCs污染特征和排放因子研究

在谭裕沟隧道实验中,采集和分析了隧道内在一定机动车流量和构成情况下近70种挥发性有机化合物(VOCs)的浓度,研究了VOCs的污染特征并计算了其排放因子.      

化学工程固沙在塔里木沙漠公路沙害防治中的适宜性

由于天然材料日益紧缺 ,研制适宜于流动性沙漠地区公路沙害防治的人工替代材料势在必行 .结合塔里木沙漠公路沙害环境 ,实验室优选出 L VA、LVP、WBS和 STB 4种抗性较好的固沙剂 ,对其理化性能、粘结体力学性能和抗风蚀性能等测试结果表明 :颗粒粒径 0.2μm～ 0.5μm,粘度 12 Pa·s～ 15Pa·s;10℃～70℃温度下无沉淀 ,不燃烧 ;实验抗压强度 1.0 MPa～12.1 MPa;10℃～-20℃低温下重量损失率 0%～ 1.8%;紫外光照射 300h强度损失率 0%～ 42%;在 5m·s^-1～253m·s^-1实验风速下 ,风蚀量 0g·(106cm²·h)^-1～4.0 g·(106cm²·h)^-1 ;现场试验固结层厚度 0.2 mm～0.5mm,强度高 .化学工程固沙技术适宜于塔里木沙漠公路沙害防治 .