应用人工神经网络理论的船舶运动包络预报方法

本文首先介绍了人工神经网络理论的基本内容以及前馈网络反向传播的训练方法，然后应用单隐含层网络作出船舶运动包络的实时预报。文中就一船舶的海上实测运动数据进行了实例计算，结果表明，本文方法的预报结果明显好于其它模型的自适应预报结果。     

城市轨道交通与沿线房地产开发的互动效应

城市轨道交通的建设,使沿线的房地产开发得到有力推动。另一方面,由于轨道交通沿线房地产的高度密集,来往客流相当丰富,也为轨道交通的运营提供了有力保障。以广州市轨道交通沿线房地产的实例进行分析,阐述城市轨道交通与沿线房地产开发之间的互动效应。     

上海轨道交通1号线对沿线房地产价格的影响范围研究

为研究城市轨道交通开发利益的影响范围和受益程度问题,对2002年上海轨道交通1号线沿线房地产价格进行了实际调查,通过分析车站周边楼盘价格与楼盘距车站距离的关系,得出上海轨道交通1号线部分车站对沿线房地产价格的实际影响范围.以利用出行时间表述可达性的城市轨道交通影响范围计算模型的原理为基础,从基于广义出行成本的可达性角度来建立城市轨道交通开发利益影响范围的理论计算修正模型.利用新建立的模型对上海轨道交通1号线进行了实例计算,并与调查值进行了比较和分析,验证了理论计算修正模型,并得到了相关的推论.     

重型柴油车NOx排放远程监测准确性研究

文章通过采用不同浓度的反应剂来模拟重型国六柴油车正常状态、临界超标及SCR性能失效状态下的实际道路NOx排放,从而研究远程排放管理平台对超标车型识别的效果。试验结果表明,NOx临界超标与SCR完全失效状态下,远程排放管理平台采集的国六整车实际道路NOx排放与PEMS设备结果基本一致,而正常状态下,尿素过量喷射导致的NH3泄露会对车载NOx传感器精度造成影响,进而导致远程排放管理平台采集的国六整车NOx排放与PEMS设备存在偏差。     

《物权法》的实施对我国船舶登记制度的影响

物权是指权利人依法对特定的物享有直接支配和排他的权利,包括所有权、用益物权和担保物权。随着《物权法》的实施,船舶所有权、抵押权、留置权等有关的物权制度得以清晰和明确。文中从船舶所有权、抵押权等方面分析了《物权法》的实施对我国现行船舶登记制度的影响。     

基于计算机视觉的驾驶员转向操作实时监测研究

为实时监控驾驶员操纵转向盘的状态，构建了基于机器视觉汽车转向盘实时监控系统，并运用阈值分割和边缘检测方法对转向盘图像中感兴趣区域进行了图像分割，提出了转向盘转角的计算公式。试验结果表明，感兴趣区域图像分割与转向盘转角监测方法有效。     

工程机械组群动态组织与集成管理系统研究

阐述了工程机械组群动态组织与集成管理系统的组成，特点和发展趋势，分析了系统的技术关键发及技术性能，确定了系统的构成方案，详细探讨了各功能单元的结合关系以及系统的社会，经济效益。     

分布式工业进程参数监测系统实时多任务软件的设计

作者从操作系统的观点出发,分析分布式工业过程参数监测系统实时多任务软件的方法,解决了在DOS环境下,支持多任务问题。     

Guidance for transport planning and policymaking in the face of an uncertain future

Uncertainty of outcome is widely recognised as a concern facing decision-makers and their advisors. In a number of spheres of policy, it appears uncertainty has intensified in the face of globalisation, economic instability, climate change, technological innovation and changing consumer preferences. How can planners and policymakers plan for an uncertain future? There is growing interest in, and use of, techniques that can help decision-making processes where deep uncertainty is involved. This paper is based upon one of the most recent international examples of a foresight exercise employed to examine uncertainty – specifically that which concerns uncertainty over the nature and extent of future demand for car travel. The principal focus of the paper is on the insights and guidance this examination of uncertainty brings forth for transport planning and policymaking. To accommodate deep uncertainty requires a flexible and open approach in terms of how policy and investment possibilities are formulated and judged. The paper argues for a focus upon the Triple Access System of spatial proximity, physical mobility and digital connectivity as a framework for policy and investment decisions that can harness flexibility and resilience. Uncertainty becomes an opportunity for decision-makers with the realisation that they are shaping the future rather than (only) responding to a predicted future. The paper outlines two forms of policymaking pathway: regime-compliant (in which adherence to trends and the nature of the world we have known pushes policy) and regime-testing (in which the nature of the world as we have known it is brought into question and vision pulls policy decisions). Stronger orientation towards regime-testing to assist in managing an uncertain future is advocated.     

A network option portfolio management framework for adaptive transportation planning

A real option portfolio management framework is proposed to make use of an adaptive network design problem developed using stochastic dynamic programming methodologies. The framework is extended from Smit’s and Trigeorgis’ option portfolio framework to incorporate network synergies. The adaptive planning framework is defined and tested on a case study with time series origin-destination demand data. Historically, OD time series data is costly to obtain, and there has not been much need for it because most transportation models use a single time-invariant estimate based on deterministic forecasting of demand. Despite the high cost and institutional barriers of obtaining abundant OD time series data, we illustrate how having higher fidelity data along with an adaptive planning framework can result in a number of improved management strategies. An insertion heuristic is adopted to run the lower bound adaptive network design problem for a coarse Iran network with 834 nodes, 1121 links, and 10 years of time series data for 71,795 OD pairs.