基于体能消耗规律的游憩道路规划建设

随着当前社会经济的进步,我国旅游行业发展极为迅速,人们休闲意识的提升,旅游以及游憩活动在人们日常生活中逐步增多,而游憩作为人们旅游的重要组成内容,游憩道路必须结合人们体能消耗规律进行实时规划建设,虽然目前人类交通方式的多元化使得游憩活动空间障碍得以有效减少,但徒步游览仍是大部分观光型景区及游憩区的主要活动方式,这个过程中人们游憩道路过长,体能消耗所带来的疲劳感往往会导致其自身游览满意度降低,甚至对自身健康带来一定安全隐患,且老人和幼儿等特殊人群活动时间及活动方式有限,也使其对游憩道路要求更高。对基于体能消耗规律的游憩道路规划建设,进行分析探讨,并对其做相应整理和总结。     

Vehicle mass as a determinant of fuel consumption and secondary safety performance

One interaction between environmental and safety goals in transport is found within the vehicle fleet where fuel economy and secondary safety performance of individual vehicles impose conflicting requirements on vehicle mass from an individual’s perspective. Fleet characteristics influence the relationship between the environmental and safety outcomes of the fleet; the topic of this paper. Cross-sectional analysis of mass within the British fleet is used to estimate the partial effects of mass on the fuel consumption and secondary safety performance of vehicles. The results confirmed that fuel consumption increases as mass increases and is different for different combinations of fuel and transmission types. Additionally, increasing vehicle mass generally decreases the risk of injury to the driver of a given vehicle in the event of a crash. However, this relationship depends on the characteristics of the vehicle fleet, and in particular, is affected by changes in mass distribution within the fleet. We confirm that there is generally a trade-off in vehicle design between fuel economy and secondary safety performance imposed by mass. Cross-comparison of makes and models by model-specific effects reveal cases where this trade-off exists in other aspects of design. Although it is shown that mass imposes a trade-off in vehicle design between safety and fuel use, this does not necessarily mean that it imposes a trade-off between safety and environmental goals in the vehicle fleet as a whole because the secondary safety performance of a vehicle depends on both its own mass and the mass of the other vehicles with which it collides.     

VMT, energy consumption, and GHG emissions forecasting for passenger transportation

Globalization, greenhouse gas emissions and energy concerns, emerging vehicle technologies, and improved statistical modeling capabilities make the present moment an opportune time to revisit aggregate vehicle miles traveled (VMT), energy consumption, and greenhouse gas (GHG) emissions forecasting for passenger transportation. Using panel data for the 48 continental states during the period 1998-2008, the authors develop simultaneous equation models for predicting VMT on different road functional classes and examine how different technological solutions and changes in fuel prices can affect passenger VMT. Moreover, a random coefficient panel data model is developed to estimate the influence of various factors (such as demographics, socioeconomic variables, fuel tax, and capacity) on the total amount of passenger VMT in the United States. To assess the influence of each significant factor on VMT, elasticities are estimated. Further, the authors investigate the effect of different policies governing fuel tax and population density on future energy consumption and GHG emissions. The presented methodology and estimation results can assist transportation planners and policy-makers in determining future energy and transportation infrastructure investment needs.     

An operational activity-based method to estimate CO2 emissions from container shipping considering empty container repositioning

This paper develops an operational activity-based method to estimate CO₂ emissions from container shipping in contrasts to the traditional aggregated activity-based method. Two case studies investigate the impacts of empty container repositioning policies and port handling capacity on CO₂ emission index. The results show that the aggregated method could well overestimate CO₂ emissions and the operational activity-based method is more appropriate. The paper also demonstrates that high port-handling capacity and efficient empty container repositioning could reduce CO₂ emissions in seaborne container transportation.     

西部原油管道输量与能耗分析

为降低西部原油管道管输能耗,通过计算管道在不同季节、不同流量下的摩阻损耗,结合管道参数和输油泵特性曲线,分析得出影响输油生产单位能耗的因素包括管输流量和输油温度。进一步计算得出了不同流量和不同季节对应的输油生产单耗。结果表明,流量对输油生产单耗影响较大,西部原油管道管输流量在1 000~1 400 m~3/h区间时生产单耗相对较低;流量大于1 600 m3/h时,生产单耗随流量上升接近线性增长。而输油温度对生产单耗的影响较小,同一流量下冬季生产单耗略高于夏季生产单耗。     

基于滚动优化的地铁列车节能运行协同控制方法

针对地铁列车节能运行问题,提出基于滚动优化的列车协同控制方法,将系统整体最优问题分解为基于时间推进的局部优化问题。考虑列车每次停站时同一供电分区内其它列车的操纵方案,实时计算下一站间运行净能耗最小的操纵方案。在计算操纵方案时,对传统的列车4阶段操纵策略进行改进,允许列车在运行途中进行2次牵引,减小列车牵引能耗并提高再生能的利用率。结果表明:相比列车基于传统4阶段的个体最优控制策略,采用本文提出的列车协同控制方法在不同发车间隔下均可提高再生能利用率并节约列车运行净能耗,平均节能率达8.37%。     

Fueling for contingencies: The hidden cost of unpredictability in the air transportation system

The aviation community is increasing its attention on the concept of predictability when conducting aviation service quality assessments. Reduced fuel consumption and the related cost is one of the various benefits that could be achieved through improved flight predictability. A lack of predictability may cause airline dispatchers to load more fuel onto aircraft before they depart; the flights would then in turn consume extra fuel just to carry excess fuel loaded. In this study, we employ a large dataset with flight-level fuel loading and consumption information from a major US airline. With these data, we estimate the relationship between the amount of loaded fuel and flight predictability performance using a statistical model. The impact of loaded fuel is translated into fuel consumption and, ultimately, fuel cost and environmental impact for US domestic operations. We find that a one-minute increase in the standard deviation of airborne time leads to a 0.88 min increase in loaded contingency fuel and 1.66 min in loaded contingency and alternate fuel. If there were no unpredictability in the aviation system, captured in our model by eliminating standard deviation in flight time, the reduction in the loaded fuel would between 6.12 and 11.28 min per flight. Given a range of fuel prices, this ultimately would translate into cost savings for US domestic airlines on the order of $120–$452 million per year.     

船舶传染病隔离舱空调系统设计的探讨

介绍了船舶传染病隔离负压舱的空调系统设计的特点和思路,结合一典型传染病舱模型进行空调系统设计,对舱内污染控制分区进行了分区设置,对换气次数、负压值、空调负荷、空气处理等主要技术指标进行了计算和结果分析。结合舱内空调负荷介绍了通风换气设备与节能措施,根据传染病隔离负压舱空调系统的特点选取了相应的热回收装置,并描述了其工作原理和特点。     

关于城市轨道交通钢轨选型的探讨和建议

根据钢轨制造技术的发展并结合轨道研究和设计领域的最新成果,对城市轨道交通钢轨定尺长度、钢轨质量及钢轨材质选择进行分析和探讨,并建议在钢轨选型时,应全面考虑不同线路布置特点,车辆及荷载情况,运输、施工及维修条件,建设工期,初期投资及运营成本要求等综合因素,力求使每条城轨交通中的钢轨选型方案在满足安全可靠的基础上,更具工程针对性和经济适用性.     

Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control

The performance of container terminals needs to be improved to handle the growth of transported containers and maintain port sustainability. This paper provides a methodology for improving the handling capacity of an automated container terminal in an energy-efficient way. The behavior of a container terminal is considered as consisting of a higher level and a lower level represented by discrete-event dynamics and continuous-time dynamics, respectively. These dynamics represent the behavior of a large number of terminal equipment. The dynamics need to be controlled. For controlling the higher level dynamics, a minimal makespan problem is solved. For this, the minimal time required by equipment for performing an operation at the lower level is needed. The minimal time for performing an operation at the lower level is obtained using Pontryagin’s Minimum Principle. The actual operation time allowed by the higher level for processing an operation at the lower level is subsequently determined by a scheduling algorithm at the higher level. Given an actual operation time, the lower level dynamics are controlled using optimal control to achieve minimal energy consumption while respecting the time constraint. Simulation studies illustrate how energy-efficient management of equipment for the minimal makespan could be obtained using the proposed methodology.