农村公路网等级结构灰色多目标优化模型研究

通过分析当前农村公路网等级结构确定方法,指出路网等级结构确定方法中优化目标的优先顺序以及在约束条件下的技术系数和资源约束都存在灰度的问题.运用灰色系统理论原理,构建了农村公路网等级结构灰色多目标优化模型.该模型使公路网规划者在农村公路网等级结构确定存在灰度的情况下,得到满意可行的结论.     

双冗余以太网在VxWorks驱动层的实现

通过分析VxWorks网络协议栈和82559增强型网络驱动程序的工作机制,并结合网络交换机原理和网络路由原理,提出了在驱动层实现双冗余以太网无扰动自动切换的解决方案,达到了双网口同IP地址、同MAC地址的效果。用低廉的成本满足了双冗余以太网的技术要求,确保了双冗余以太网的高效率和高可靠运行。     

10CrNi3MoV船用钢热冲压成形冷却速度研究

()冲压成形形状精度的主要因素,通过10CrNi3MoV船用钢()考察了10CrNi3MoV船用钢热冲压成形的传热特征,推导出的热()本方程,提出热冲压成形模具冷却系统设计相关技术问题.研究表明,当()临界冷却速度,才能使奥氏体直接转变为均匀马氏体;在模具结构、冷却系统、()确定的情况下,冷却速度只与板材自身条件有关,可以通过控制最佳水流速度实现()速度的控制,达到减少和消除热冲压成形中变形和回弹等缺陷,提高热冲压成形质量.     

交通流特征深度认知的车队运行参数优化方法

为提升车队对周围交通流环境的认知能力，获取车队周围多车的运行模式，同时通过改变车队运行参数实现车队群体对周围多车群体运行模式的诱导变化，为提升车队及交通流整体运行效率提供优化策略，提出了基于狄利克雷混和高斯过程的车队周围多车运行模式获取算法，将车队周围多车车辆的复杂运行模式视为混和高斯过程，利用狄利克雷分布作为高斯混和权重的先验分布，建立车队周围多车运行模式速度场，从而获取车队周围多车运行模式并分类；通过比较不同多车运行模式下车队的运行效率，提升车队对所处运行环境的认知能力。研究结果表明：利用非参数贝叶斯算法将复杂的多车运行状态进行分类，获取的车队周围多车运行模式可表现为对车队运行效率产生不同影响的速度场；通过将车队周围的多车运行仿真数据分成多个运行模式，可获取不同多车运行模式下车队及交通流整体运行特性；通过更改车队运行参数，观察不同多车运行模式的占比变化，可获取车队运行参数对所处运行环境改变的影响趋势；车队周围多车运行模式的获取，不仅可以提升车队对周围运行环境的认知能力，使得车队能够选取有利路径行驶，同时能够为车队运行策略的优化提供有效的信息。     

Cost and User Profile of a Coastal Ocean Observing System

Fundamental to sustaining the financial support of a coastal ocean observing system is an intimate knowledge of users and their decision-making processes in order to maximize the worth of ocean observations to them. This article explores the evolving mission of GoMOOS (the Gulf of Maine Ocean Observing System), its costs of providing near real-time observations and observing products, possible methods to assess the benefits of an ocean observing system, and a method for indexing the importance—and thus, potentially, the economic value—that users attach to these observations and products.     

The IMMa optimisation algorithm without control input parameters

The IMMa optimisation algorithm (IOA) consists of a heuristic method based on a differential evolution algorithm for choosing the Magic Formula (MF) tyre model parameters. In a previous paper, we demonstrated that the IOA improved the searching procedure of optimum MF parameters with respect to the starting value optimisation (SVO) methods. But we had to introduce some control input parameters that were fixed during the running process. Now, the new version does not require control input variables to be chosen by the user. That is, we use an algorithm with self-adapting control parameters and it continues being easy to use, robust and fast. Hence, users do not need any kind of knowledge to use the IOA.     

大型船可调桨推进装置机动工况分析不容忽视

论述主柴油机螺旋桨(FPP、CPP)推进特性的同时,结合螺旋桨推力系数(KP)、扭矩系数(Km)、随螺旋桨进程比,(λp)的变化情况,指出λp在大于某一定值后,螺旋桨将出现负推力和负转矩,这称为螺旋桨的水涡轮工况。此现象多发生在船舶机动作业的紧急换向工况中,对于CPP船若控制不慎,可能引发主机飞车或使船舶实际换向时间太长,两者都将延误船舶紧急避碰时机。现推荐一种"能耗法"的控制方法,可以有效地缩短船舶紧急换向实际时间,避免海难事故,保障航行安全。     

新建结构与运营地铁车站接驳关键技术

以深圳地铁新建3号线老街站换乘综合体与运营地铁车站接驳工程为实例,对运营车站临时加固防护、分部切割既有结构、新旧结构接驳等关键技术展开论述。提出运用金刚石绳锯与金刚石水钻相结合的一种静力切割工艺,很好地解决了该工程作业环境复杂、技术要求高、风险大等难题,安全、高效地完成了新建结构与运营地铁车站接驳工程。     

Prioritizing bicycle paths in Belo Horizonte City,Brazil: Analysis based on user preferences and willingness considering individual heterogeneity

Using bicycles as a commuting mode has proven to be beneficial to both urban traffic conditions and travelers’ health. In order to efficiently design facilities and policies that will stimulate bicycle use, it is necessary to first understand people’s attitudes towards bicycle use, and the factors that may influence their preferences. Such an understanding will enable reliable predictions of bicycle use willingness level, based on which cycling facility construction can be reasonably prioritized.As people often have different perceptions on exercising, green transportation, and traffic conditions, effects of potentially influencing factors on people’s willingness of using bicycles tend to be highly heterogeneous. This paper uses a random parameter ordered probit model to analyze how travelers’ willingness of using bicycles is influenced by various socio-economic factors in Belo Horizonte City, Brazil, with the consideration of individual heterogeneity. The data was collected through the 2010 bicycle use survey in Belo Horizonte City. Results show that, first, the willingness of using bicycle is favored by middle income class household, and negatively related with commuting time. Second, people who rent apartments tend to be more willing to use bicycles. Third, if a person is currently walking a long time to work, he/she would be most willing to commute with a bicycle in the future. Those currently commuting a relatively short distance by motorcycle and bus follow this group in terms of willingness to commute by bicycle in the future. Car users seem to be difficult to convert to bicycle users. Moreover, the estimation shows clear evidence that significant individual heterogeneity indeed exists, especially for education level, necessitating the consideration of such an effect. With the calibrated model, residents’ willingness of using bicycle commuting is then estimated for the entire Belo Horizonte City using the 2010 Census and the 2012 O/D survey data. The results are cross validated using the bicycle path preference information, also obtained from the 2010 bicycle use survey.