Competitiveness and macroeconomic impacts of reduced wait times at U.S. land freight border crossings

We analyze the macroeconomic and trade impacts of reducing wait times by adding one customs officer at each of the twelve major land freight crossings of the U.S. The change in wait time stemming from staffing changes is first estimated on the basis of primary data and then translated into changes in freight costs through a logistical model. The transportation cost changes are then fed into a multi-country computable general equilibrium model. We find that adding one customs officer at each land border crossing would, on average per crossing, generate an increase in U.S. GDP of $350 thousand and 3.58 additional jobs.     

Strain prediction for critical positions of FPSO under different loading of stored oil using GAIFOA-BP neural network

FPSO (floating, production, storage and offloading) units are widely used in the offshore oil and gas industry. Generally, FPSOs have excellent oil storage capacity owing to their huge oil cargo holds. The volume and distribution of stored oil in the cargo holds influence the strain level of hull girder, especially at critical positions of FPSO. However, strain prediction using structural analysis tools is computationally expensive and time consuming. In this study, a prediction tool based on back-propagation (BP) neural network called GAIFOA-BP is proposed to predict the strain values of concerned positions of an FPSO model under different oil storage conditions. The GAIFOA-BP combines BP model and GAIFOA which is a combination of genetic algorithm (GA) and an improved fruit fly optimization algorithm (IFOA). Results from three benchmark tests show that the GAIFOA-BP model has a remarkable performance. Subsequently, a total of 81 sets of training data and 25 sets of testing data are obtained from experiment using fiber Bragg grating (FBG) sensors installed on the surface of an FPSO model. The numerical results show that the GAIFOA-BP is capable of predicting the strain values with higher accuracy as compared with other BP models. Finally, the reserved GAIFOA-BP model is utilized to predict the strain values under the inputs of a 10-day time series of volume and distribution of stored oil. The predicted strain results are further used to calculate the fatigue consumption of measurement points.     

智能网联车环境下高速匝道汇入车流轨迹优化模型

为了解决传统匝道控制车流汇入时车辆需要减速至停止，从而造成延误时间过长的问题，提出了一种智能网联车环境下的高速匝道汇入车辆轨迹优化的两阶段优化模型，其中，第1 阶段优化车辆进入匝道口的时序；第2 阶段基于第1 阶段的最优时序，优化车辆轨迹. 根据所构建的模型设计了一种启发式算法优化车辆通过匝道冲突区域的时序，然后结合 GPOPS工具优化车辆的轨迹.为了验证所提出方法的有效性，将所提出的方法应用到20 min 随机到达的车流，进行仿真实验.实验结果表明，与先进先出的方法相比，本文所提出的方法能够使总延误减少59.7%，总油耗减少10.5%，说明该方法能够实现车辆以较高的速度通过匝道冲突区域，有效地减少了车辆汇入延误，同时也节约了油耗.     

某船右主机不能正常建立滑油压力的故障排除

文章对某船右主机启动过程中,机带滑油泵不能正常建立滑油压力进行了分析,制定了针对性的排除故障措施,通过在机带滑油泵通舱管吸入口处安装吸入止回阀解决了滑油压力非正常下降的故障,实船应用证明措施合理,对同类故障排除有较好的借鉴意义。     

考虑游览船运营特征的航道通过能力评价方法

为构建客货船舶协同动态运行控制技术体系，以经典航道通过能力模型为基础，构建基于游览船运营特征(发船高峰性和航线集中度)的航道通过能力模型.根据黄浦江游览核心区船舶自动识别系统(AIS)数据，对所提出的航道通过能力模型进行实证分析.研究结果表明，本文航道通过能力模型能够较为准确地评价研究区域的实际航道通过能力.游览船发船高峰时期与现有航线规划条件下，黄浦江游览核心区航道通过能力(76艘/h)趋近饱和状态；当过境船到达超过69艘/h时，建议海事相关部门采取“错峰”航行等相关政策.     

武汉港阳逻港区多式联运发展思路

多式联运能够充分发挥各种运输方式的综合优势,对于推动物流业降本增效、完善现代综合交通运输体系具有积极意义。武汉港阳逻港区具备发展多式联运的各项要素,但缺乏对多式联运发展的系统性规划,港区多式联运发展相对滞后,综合交通优势尚未有效发挥。通过总结典型案例的发展经验,结合港区内外部综合因素,思考港区多式联运发展思路,探讨港区多式联运的布局规划以及综合服务的提升,并提出相关建议。     

Fractional-order-based ACC/CACC algorithm for improving string stability

Traffic flow optimization and driver comfort enhancement are the main contributions of an Adaptive Cruise Control (ACC) system. If communication links are added, more safety and shorter gaps can be reached performing a Cooperative-ACC (CACC). Although shortening the inter-vehicular distances directly improves traffic flow, it can cause string unstable behavior. This paper presents fractional-order-based control algorithms to enhance the car-following and string stability performance for both ACC and CACC vehicle strings, including communication temporal delay effects. The proposed controller is compared with state-of-the-art implementations, exhibiting better performance. Simulation and real experiments have been conducted for validating the approach.     

从一起船舶主机拉缸故障谈柴油机润滑油的选用

通过某LPG船一起主机拉缸案例,阐述船舶柴油机润滑油合理选用和管理的重要性,讨论选用润滑油应根据船舶柴油机的型号、燃油品质等具体情况,充分考虑润滑油的黏度等级和碱度。介绍船用柴油机润滑油国内外主要生产商及其相应的产品牌号。     

中韩船舶油污损害赔偿制度的比较

韩国不论是从地理位置还是经济贸易往来,对于我国是很重要的邻国.由于海上运输的国际性,我国的船东有在该国卷入油污损害赔偿案件的可能,研究其油污损害赔偿制度能够更好的保护我国船东的权益,而且对于我国完善油污民事赔偿立法有一定的借鉴作用.本篇论文比较了中韩油污损害赔偿制度,并对完善我国油污损害赔偿制度提出几点建议.