Using system dynamics in maritime economics: an endogenous decision model for shipowners in the dry bulk sector

In this paper, we consider the benefits of applying system dynamics in maritime economics. We build an endogenous shipowners' model for the dry bulk sector, incorporating both the decision process of individual shipowners and traditional shipping market conditions. The aim is to arrive at a simulation tool that can be used for a variety of applications, both for teaching/learning and for research purposes. Within the endogenous shipping model, we can distinguish between the strategic and the tactical choices shipowners face. As an application, we focus explicitly on a strategic decision-making process that is relevant to any shipowner, i.e. the sale of a vessel. System dynamics seems to be a tool well-suited for the detailed modelling of strategic and operational behaviour in the maritime business.     

站在北美港口的角度 看跨太平洋集装箱班轮航线

2004年是温哥华港务局作为第一家北美的港口获准在中国正式建立办事处的第十个年头.     

Minimizing vehicle post impact path lateral deviation using optimized braking and steering sequences

This paper investigates the optimal control of a vehicle, after a light impact during a traffic accident. To reduce the risk of secondary events, the control target is set: to minimize the maximum lateral deviation from the initial path. In previous analysis path control was achieved by the active control of individual wheel braking. The present paper examines potential benefits from the additional control of front steering angles. Numerical optimization is used to determine optimal control sequences for both actuator configurations. It is found that steering provides significant control benefits, though not for all post-impact kinematics. For all cases considered, the optimal control operates at the boundary of the control domain of available forces and moments. This domain is expanded when steering is available, and there exists an expanded range of conditions for which coupled control of yaw moments and lateral forces is the most effective control strategy. The sensitivity of vehicle response to the individual actuator controls is studied; it reveals this sensitivity is related to the actuator bandwidth and the lack of any dynamic cost in the longitudinal direction. This motivates a further analysis which includes longitudinal and lateral dynamics in the cost function. This is broadly related to real-world crash risks. Further, different versions of such cost functions are compared as a basis for implementation in a closed-loop controller.     

中巴喀喇昆仑公路冰川灾害

中巴公路穿越西喀喇昆仑-喜马拉雅山系的冰缘地带,沿线冰川活跃,冰川消融与进退等引发各类地质灾害,严重损毁公路,危及公路安全.中巴公路灾害防治是中巴公路改扩建工程的目标,科学防灾减灾需要掌握中巴公路沿线冰川及冰川灾害的形成及发展规律.通过野外调查、定点观测、文献检索与遥感解译等研究手段发现,独特的地形地貌、丰沛的夏季降雪、险峻的地形落差、山地气候波动等环境因素孕育大量跃动型冰川,具有长期萎缩与间歇跃动、同期不同步、夏季累积型和悬冰川的活动特征.中巴公路沿线可区分为四大活动性冰川群,洪扎河谷(Hunza River)一带的帕苏幕士塔格山冰川群(Pasu Mustaghs)最为活跃.中巴公路冰川灾害可分为冰川灾害与冰川地质灾害两大类别,10个类型.其中,冰湖溃决、冰川泥石流的治理是工程上主要面临的防治问题.     

Land use pressures on coastal estuaries in Atlantic Canada

Abstract

The management of estuarine areas in Canada has received little attention; this is specifically the case along the Atlantic coast. This article reviews the importance of estuaries as resources and analyzes the land‐use pressures which can affect them. Specific emphasis is placed on the results of a recent study of estuaries in Atlantic Canada. The incidence of the closures of shellfish areas is used as a measure of the impact of land development on estuaries.     

Application of Learning Automata to Controller Design in Slow-Active Automobile Suspensions

This study considers a new design methodology in the context of active vehicle suspension control. The approach combines concepts from Stochastic Optimal Control with those of Learning Automata. A learning automaton effectively learns optimal control on-line in the vehicle, in an appropriate stochastic “test-track” environment. For practical application, the overwhelming advantage of this approach is that no explicit modelling is required, and considerable time savings may be expected in system development. This simulation study considers the on-line learning of optimal control in a low-bandwidth active suspension system, where control feedback is confined to a body-mounted accelerometer at each corner of the vehicle. It is shown that learning can successfully take place under a range of conditions, including the case when there is substantial transducer noise. The performance of the resulting control system is shown to depend heavily on the nature of the learning environment.     

Automated driving and autonomous functions on road vehicles

In recent years, road vehicle automation has become an important and popular topic for research and development in both academic and industrial spheres. New developments have received extensive coverage in the popular press, and it may be said that the topic has captured the public imagination. Indeed, the topic has generated interest across a wide range of academic, industry and governmental communities, well beyond vehicle engineering; these include computer science, transportation, urban planning, legal, social science and psychology. While this follows a similar surge of interest – and subsequent hiatus – of Automated Highway Systems in the 1990s, the current level of interest is substantially greater, and current expectations are high. It is common to frame the new technologies under the banner of ‘self-driving cars’ – robotic systems potentially taking over the entire role of the human driver, a capability that does not fully exist at present. However, this single vision leads one to ignore the existing range of automated systems that are both feasible and useful. Recent developments are underpinned by substantial and long-term trends in ‘computerisation’ of the automobile, with developments in sensors, actuators and control technologies to spur the new developments in both industry and academia. In this paper, we review the evolution of the intelligent vehicle and the supporting technologies with a focus on the progress and key challenges for vehicle system dynamics. A number of relevant themes around driving automation are explored in this article, with special focus on those most relevant to the underlying vehicle system dynamics. One conclusion is that increased precision is needed in sensing and controlling vehicle motions, a trend that can mimic that of the aerospace industry, and similarly benefit from increased use of redundant by-wire actuators.     

印度对中国的畏惧蔓延至港口

印度对于与中国合作的重重顾虑——最初出于安全考虑，印度政府对中国公司在该国电信行业的影响倍感忧虑——如今这种安全忧虑已经蔓延到了港口运输业。Gordon Feller为您报道。[编按]     

Possible effects of climate change on the spread of invasive marine species and implications for maritime industries

Global climate change stands to have major implications for maritime industries, including fisheries and aquaculture, recreation and tourism, and shipping and ports. Amongst these implications are the possible effects of climate change on the dispersal and distribution of marine species, as environmental conditions in the world’s seas and oceans change with climate change. This paper explores, in an introductory manner only, the potential impacts of climate change on marine bio-invasions, the possible effect of these impacts on maritime industries, and the possible implications for the way that we manage these industries, including ship’s ballast water and sediments and hull fouling, to prevent and reduce marine bio-invasions. The paper presents the case for the inclusion of this topic on the programme of 1st International Conference on the Impacts of Climate Change on Maritime Industries (ICCMI 2008), planned to be held in Malmö, Sweden in June 2008, where international experts in the science of climate change and marine bio-invasions might present more detailed scientific and technical papers on the issue.