Consumer preferences and willingness to pay for advanced vehicle technology options and fuel types

The automotive industry is witnessing a revolution with the advent of advanced vehicular technologies, smart vehicle options, and fuel alternatives. However, there is very limited research on consumer preferences for such advanced vehicular technologies. The deployment and penetration of advanced vehicular technologies in the marketplace, and planning for possible market adoption scenarios, calls for the collection and analysis of consumer preference data related to these emerging technologies. This study aims to address this need, offering a detailed analysis of consumer preference for alternative fuel types and technology options using data collected in stated choice experiments conducted on a sample of consumers from six metropolitan cities in South Korea. The results indicate that there is considerable heterogeneity in consumer preferences for various smart technology options such as wireless internet, vehicle connectivity, and voice command features, but relatively less heterogeneity in the preference for smart vehicle applications such as real-time traveler information on parking and traffic conditions.     

A hybrid optimization-simulation approach for robust weekly aircraft routing and retiming

We address the robust weekly aircraft routing and retiming problem, which requires determining weekly schedules for a heterogeneous fleet that maximizes the aircraft on-time performance, minimizes the total delay, and minimizes the number of delayed passengers. The fleet is required to serve a set of flights having known departure time windows while satisfying maintenance constraints. All flights are subject to random delays that may propagate through the network. We propose to solve this problem using a hybrid optimization-simulation approach based on a novel mixed-integer nonlinear programming model for the robust weekly aircraft maintenance routing problem. For this model, we provide an equivalent mixed-integer linear programming formulation that can be solved using a commercial solver. Furthermore, we describe a Monte-Carlo-based procedure for sequentially adjusting the flight departure times. We perform an extensive computational study using instances obtained from a major international airline, having up to 3387 flights and 164 aircraft, which demonstrates the efficacy of the proposed approach. Using the simulation software SimAir to assess the robustness of the solutions produced by our approach in comparison with that for the original solutions implemented by the airline, we found that on-time performance was improved by 9.8–16.0%, cumulative delay was reduced by 25.4–33.1%, and the number of delayed passengers was reduced by 8.2–51.6%.     

Integrated approach to determine highway flooding and critical points of drainage

Among the natural hazards that threaten transportation infrastructure, flooding represents a major hazard to highways as it challenges their design, operation, efficiency and safety. In extreme cases, it may lead to massive obstruction of traffic and direct damages to the road structures themselves and indirect damages to the economic activity and development of the region. To enable the prevention of such consequences, and the proposition of adaptive measures for existing infrastructure, this paper presents an integrated framework to identify the most vulnerable points to flooding along a highway. This is done through the combination of remote sensing information (e.g. LiDAR based Digital Elevation Model, satellite imagery), a high-quality dataset, and a quasi-2D hydrodynamic model. The forcing condition is defined using a hyetograph associated to a storm with duration of 1 day and return period of 100 years. The selected highway is located in the Mexican state of Tabasco, where extreme precipitation events and floods are frequent. Results demonstrate the ability of the methodology to identify critical water levels along the road (h > 1.50 m) at those locations where flooding has been experienced, as well as points of inspection for the highway drainage. These locations were visited in the field and maintenance problems were detected that do increase its level of exposure. We show that this framework is useful for the generation of a flood management strategy to the analyzed highway, which includes an optimum location of adaptive measures to an anticipated more intense future climate.     

广西交通科技资源共享平台建设探讨

文章针对广西交通科技项目管理系统现状,分析了建设交通科技资源共享平台的必要性,阐述了交通科技资源共享平台建设的关键技术、创新点及主要内容,指出该共享平台的建设可改善和提高交通运输科技项目质量及监管水平。     

桥梁的局部维修加固工艺与控制

某城市桥梁为预应力混凝土简支空心板结构,运营10a后出现了支座下墩身开裂、梁体裂缝等病害。该文简要介绍了加固方案的选择。具体介绍了加固施工的方法和工艺要求,从而使桥梁结构加固达到预期的目的,延长了桥梁的使用年限。     

《液压与气动技术》课程思政探索与实践

课程思政要求教师在教学过程中,融入思想政治内容,将课程内容与思政元素有机融合,增加教书育人效果.《液压与气动技术》课程是高职机电类专业的一门必修课,挖掘本门课程思政元素,实施课程思政教学对立德树人具有深远的意义.     

注浆法处理荣乌高速公路下伏采空区的关键技术

通过荣乌高速公路采空区的注浆治理工程,论述了注浆法成孔、帷幕孔注浆施工、注浆孔注浆施工的关键技术,根据施工现场地形地貌及地质情况,对采空区注浆法处治提出一些改进措施,同时指出应遵循采空区注浆质量检测方法、要求及采空区公路路基的变形控制标准,以确保工程质量。     

基于Matlab的公路养护作业区长度优化方法研究

公路养护工作是维持道路正常运行的基本保证,设置养护作业区往往需要封闭部分车道,这常会给道路上的交通流带来不利影响,对养护作业长度进行优化设计可以减少这些负面影响。在考虑道路交通流量的时间变化特性基础上建立了养护作业费用模型,利用Matlab工具初步实现了在道路交通流随时间变化情况下的作业区长度优化计算,并给出了具体算例。     

海底单层保温管线总传热系数分析

总传热系数K是海底热油管道的运行管理中的一个非常关键的参数.文中通过对中海油涠洲11 -1油田至涠洲12 -1油田之间的海底管道总传热系数进行理论计算,并与投产前根据实际预热数据反算的总传热系数进行对比,得出理论计算的总传热系数与实际预热反算得到的总传热系数相近,同时指出海管接口的散热损失较大,海底管线应对接口部分进行...     

车用玻璃钢复合材料的应用

汽车节能、环保及安全既是国际汽车技术的发展方向,也是我国汽车产业政策的要求,玻璃钢复合材料是汽车工业发展的理想材料。文章介绍了车用玻璃钢复合材料的性能和国内外玻璃钢复合材料在汽车上的应用状况,指出玻璃钢复合材料应在降低成本和扩大应用领域等3个方面发展,使玻璃铜复合材料随着新车型的不断涌现,得到更为广泛地应用。