沿海高速公路风险评价体系构建

沿海高速公路建设面临地质条件复杂,气象灾害多样、工程类型多等困难,针对其风险评估工作多而繁杂的实际情况,以浙江沿海疏港高速公路为工程背景,选择道路工程、桥梁工程和隧道工程为研究对象,在其中筛选提炼出软土路基区、人工海岸区、跨海湾特大桥、水底隧道等作为评价对象,分析了在沿线地质条件及气象条件下,不同评价对象在施工期和运营期可能面临的各种风险因素,选择其中的主要风险因素,构成多级评估对象,搭建了沿海高速公路风险评价的体系,并且说明了所采用的评估方法和评估流程,并介绍了所采用的风险概率和风险后果等级标准。构建沿海高速公路风险评价体系能为我国的类似工程提供了借鉴。     

上海内环高架沿线灰尘重金属污染分析与评价

对上海市内环高架沿线街道灰尘重金属污染进行了调查,结果表明,与道路交通因素相关的重金属Pb、Cd、Cu和Zn均具有较高的含量水平,分别为上海市土壤背景值的9.3倍,7.5倍,9.0倍和8.8倍。除了重金属Hg以外,其他7种重金属平均含量均表现为浦西段高于浦东段,说明内环高架浦西段相对于浦东段具有较高的重金属积累。而污染指数评价的结果也表明了上述4种重金属的污染程度超过了其他重金属,已经达到了中度污染水平。     

Effects of Road Networks on Bird Populations

Abstract: One potential contributor to the worldwide decline of bird populations is the increasing prevalence of roads, which have several negative effects on birds and other vertebrates. We synthesized the results of studies and reviews that explore the effects of roads on birds with an emphasis on paved roads. The well‐known direct effects of roads on birds include habitat loss and fragmentation, vehicle‐caused mortality, pollution, and poisoning. Nevertheless, indirect effects may exert a greater influence on bird populations. These effects include noise, artificial light, barriers to movement, and edges associated with roads. Moreover, indirect and direct effects may act synergistically to cause decreases in population density and species richness. Of the many effects of roads, it appears that road mortality and traffic noise may have the most substantial effects on birds relative to other effects and taxonomic groups. Potential measures for mitigating the detrimental effects of roads include noise‐reduction strategies and changes to roadway lighting and vegetation and traffic flow. Road networks and traffic volumes are projected to increase in many countries around the world. Increasing habitat loss and fragmentation and predicted species distribution shifts due to climate change are likely to compound the overall effects of roads on birds.     

Migration and control of purple loosestrife (Lythrum salicaria L.) along highway corridors

The east-west density gradient and the pattern and mode of migration of the wetland exotic, purple loosestrife (Lythrum salicaria L.), were assessed in a survey of populations along the New York State Thruway from Albany to Buffalo to determine if the highway corridor contributed to the spread of this species. During the peak flowering season of late July to early August, individual colonies of purple loosestrife were identified and categorized into three size classes in parallel belt transects consisting of the median strip and highway rights-of-way on the north and south sides of the road. Data were also collected on the presence of colonies adjacent to the corridor and on highway drainage patterns. Although a distinct east-west density gradient existed in the corridor, it corresponded to the gradient on adjacent lands and was greatly influenced by a major infestation at Montezuma National Wildlife Refuge. The disturbed highway corridor served as a migration route for purple loosestrife, but topographic features dictated that this migration was a short-distance rather than long-distance process. Ditch and culvert drainage patterns increased the ability of purple loosestrife to migrate to new wetland sites. Management strategies proposed to reduce the spread of this wetland threat include minimizing disturbance, pulling by hand, spraying with glyphosate, disking, and mowing.Contribution 719 of the National Fisheries Research Center-Great Lakes, US Fish and Wildlife Service, 1451 Green Road, Ann Arbor, Michigan 48105, USA.     

Trip-Based Explanatory Variables For Estimating Vehicle Fuel Consumption and Emission Rates

The current state-of-practice in the US for estimatingvehicle emissions is based on a single traffic-relatedexplanatory variable, namely average speed. Research,however, has demonstrated that the use of average speed asa single traffic-related variable is insufficient for theestimation of vehicle emissions. For example, although theEnvironmental Protection Agency (EPA) MOBILE5 model wouldindicate that a slowing of traffic typically increasesemissions, empirical research indicates the opposite inmany cases.The objective of this paper is to identify criticalaggregate trip variables as potential explanatory variablesfor the estimation of a vehicle's fuel consumption andemissions. Subsequently, statistical models for estimatingfuel consumption and emissions of hydrocarbon (HC), carbonmonoxide (CO), and oxides of nitrogen (NO_x) aredeveloped using these critical variables that include theaverage speed, speed variability, the level ofdeceleration, and the level of acceleration. The proposedmodels are demonstrated to be consistent with microscopicenergy and emission model estimates that are based on thevehicle's instantaneous speed and acceleration levels(coefficient of determination ranges from 0.88 to 0.96).     

流动危险源毒气泄漏事故伤害模型研究

笔者介绍了危险货物道路运输的现状和特点，阐述了进行流动危险源事故后果分析的必要性，提出了流动危险源运动时毒气泄漏事故伤害模型，并利用该模型进行了数值模拟，证明该模型分析流动危险源运动时毒气泄漏事故的后果是可行的。     

公路运输化学事故应急救援体系研究

以动态源的定义为基础 ,结合危化品公路运输特殊性 ,阐述了危化品在公路运输过程中发生化学事故后应急救援的原则、工作特点与基本要求 ;提出化学事故应急救援中的基本任务是控制危险源 ,抢救受害人员 ,指导并组织群众疏散、自救和做好事故现场清理洗消工作 ,消除危害后果 ;提出公路运输化学事故应急救援预案系统建设的总体目标是 ,在应用ITS智能交通系统对动态源精确定位的基础上 ,建立公路运输化学事故应急救援预案动态库及应急救援组织保障系统和应急救援技术支持系统 ,一旦事故发生 ,能够做到尽快有效处理 ,最大限度地减小或消除事故损失。     

交通系统智能决策的算法研究

遗传算法是近年来迅速发展起来的一种全新的随机搜索与优化算法，但由于其自身固有的缺陷，通常优化过程的收敛速度较慢，局部搜索能力不足，而且算法稳定性较差。而蚁群算法广泛应用在旅行商问题计算中，目前是较好的求解最短路由问题的算法之一。就其自身来说有很多优点，如正反馈性、鲁棒性和智能性，但是在寻优过程中容易陷入局部最佳的缺点。针对上述情况，将遗产算法与蚁群算法相结合，用于实际交通系统寻找最优路径的问题中，并定义了目标函数，以路径可靠性和路径长度为优化目标，寻找最合适的救灾路线。最后通过实际计算结果的对比验证，说明了该方法的有效性。     

公路黄土路堑高边坡植物防护研究

首先根据大量现场调查资料,归纳出了黄土路堑高边坡的8类地质结构模型和坡面破坏类型;再根据公路工程地质分区,并结合边坡地质结构模型,提出了黄土地区公路路堑高边坡植物防护的基本原则;最后,在保证边坡整体稳定的合理坡型的基础上,提出了公路黄土路堑高边坡植物防护技术方案。     

车辆事故紧急呼救技术发展综述

综述了车辆事故紧急呼救技术的原理,从车辆事故检测识别技术、移动车辆定位技术、无线通信技术和地理信息系统几方面概述车辆事故紧急呼救技术的研究内容。进一步介绍车辆事故紧急呼救技术的国内外研究和应用现状,并从车辆事故识别技术、地图匹配及组合导航、集群通信及通信网络几方面总结并指出车辆事故紧急呼救技术的关键技术和难点。展望了车辆事故紧急呼救技术的发展趋势,并就我国发展车辆事故呼救技术的可行性和发展方向进行探讨。