高速公路意外事件影响下的车辆跟驰模型

应用智能主体技术,针对双向四车道高速公路意外事件影响下的车辆跟驰行为,建立了基于智能主体的车辆跟驰模型,利用西部高速公路交通调查统计的数据,对车辆主体的间距愿望进行了定量分析,利用比例微分控制确定车辆主体的加速度响应,建立了不同加速度队列的逻辑意图,使模型的加速度响应符合车辆的动力特性。利用开发的EAD-Simulation系统,在特定和随机两种不同过程下对模型进行的测试表明:利用智能主体技术描述高速公路意外事件影响下的跟驰行为,可充分发挥其个性、自治性和自适应性的特点,在主体的属性描述中利用比例微分控制“类阻尼”的特性,可有效地对车辆主体的稳定性进行控制。     

Sustainability and interactivity between cities and ports: a two-stage data envelopment analysis (DEA) approach

Ports and cities are intrinsically linked. Port city, which serves as a link between the local and global economy, is an integration of both urban and port systems. Constrained by different regional structures, port cities have developed various formulations over time. Using a two-stage data envelopment analysis (DEA) approach, this paper proposes a new method for measuring the sustainable development of different port city systems. While the previous empirical studies often separate the port system and the urban system, this paper assesses the two systems in an integrated way. Moreover, this paper develops a systematic methodology for measurement of sustainability. Twenty world-leading container port cities are selected for this study using contemporary data. The DEA results display their relative differences in levels of sustainable development, which reveal the effectiveness of the prevailing policies in them. Eventually, recommendations are drawn for other port cities by referring to the best practices.     

考虑螺旋桨体积力的水下机器人水动力特性仿真

为在初步设计时预测ROV的水动力性能,使用CFD技术进行分析,以ROV模型为例,最大程度地保留ROV内部的构件,使模型更加接近真实状况。分别计算ROV在不同工况下的阻力、不同漂角下的横向力和转艏力矩以及添加体积力模型之后的螺旋桨流场状况,很好地模拟出ROV周围的流场,并与已有的试验数据进行对比。结果验证了CFD水动力仿真的可行性和准确性,并还可预测ROV在螺旋桨作用下的进速等,对ROV设计具有实际的参考价值和指导意义。     

离线船舶机电设备振动采集仪系统设计

设计了离线振动采集仪的硬件系统,通过对传感器电源模块的进行了节电控制设计,优化振动信号的采集策略和采集节奏,提出了振动信号数据处理和存储方法,实现了无人关注下自主对船舶机电设备振动信号连续近百天的采集任务。应用结果显示,采集仪系统结果准确可靠,实现了全工况的实船振动数据的采集设备。     

科研院所科技创新工作简析

本文立足于国内科研院所科技创新现状,指出了科研院所科技创新的特点,阐述了科研院所科技创新的内涵,论述了科研院所科技创新的问题,提出了科研院所科技创新的方法。     

内河船舶波浪载荷研究

利用内河波浪散布图和修订波浪谱对内河系列船舶进行了波浪载荷的计算预报,首次分析了内河船舶波浪载荷的规律和特点,并与俄罗斯内河登记局(RRR)和法国-德国船级社(B-G)的内河规范载荷对应的等效模数要求进行了比较分析。结合实船测试结果表明：波浪载荷变化规律与国外同类规范一致,预报波浪载荷水平与测试结果及国外同类规范要求相当。内河船舶波浪载荷预报应考虑航速和水深的影响,载荷预报结果可以作为制定内河波浪载荷公式的基础。     

复合材料立管抗屈曲能力的提高方法

由于复合材料具有高比强度、设计性强、扰腐蚀性能好等优点,而广泛应用于海洋立管中,但是复合材料立管设计还不够成熟。本文为探究提高复合材料立管抗面压屈曲能力的方法,研究了复合材料结构参数对复合材料立管抗面压屈曲能力的影响,发现铺层数和铺层角对其抗面压屈曲能力有较大影响。其后对复合材料立管增加止屈器,结果表明止屈器可以较大幅度提高其抗面压屈曲能力。对今后研究复合材料立管抗屈曲能力提供一定的指导意义。     

异形网箱生态结构的设计及应用

为保护落成洲整治建筑物头部潜堤根部及LL3~LL5号丁坝根部的现有植被,在标准网箱结构的基础上,研发出异形网箱结构来替代抛石筑堤。异形网箱生态堤在满足工程功能需求的前提下,完整保护了落成洲的原有生态环境,可为航道整治生态结构设计提供参考。     

Incorporating the extended theory of planned behavior in a school travel mode choice model: a case study of Shaoxing,China

Travel to and from school can have social, economic, and environmental implications for students and their parents. Therefore, understanding school travel mode choice behavior is essential to find policy-oriented approaches to optimizing school travel mode share. Recent research suggests that psychological factors of parents play a significant role in school travel mode choice behavior and the Multiple Indicators and Multiple Causes (MIMIC) model has been used to test the effect of psychological constructs on mode choice behavior. However, little research has used a systematic framework of behavioral theory to organize these psychological factors and investigate their internal relationships. This paper proposes an extended theory of planned behavior (ETPB) to delve into the psychological factors caused by the effects of adults’ cognition and behavioral habits and explores the factors’ relationship paradigm. A theoretical framework of travel mode choice behavior for students in China is constructed. We established the MIMIC model that accommodates latent variables from ETPB. We found that not all the psychological latent variables have significant effects on school travel mode choice behavior, but habit can play an essential role. The results provide theoretical support for demand policies for school travel.     

A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria

This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts.