拖曳线列阵声呐判断左右舷模糊方法研究

潜艇性能的不断提高,促进了拖曳线列阵声呐的快速发展.拖曳线列阵声呐有其独特的优点,但它的左右舷模糊问题靠其本身是无法克服的.本文分析了判断左右舷所用的转向法及与其他声呐协同法的不足之处,同时提出了2部拖曳线列阵声呐协同使用的方法.     

直线感应电机推力及法向力的计算

建立了单边直线感应电机的物理模型,以有限差分法为分析方法,对单边直线感应电机的推力与法向力作了解析,并给出了仿真结果,验证了推力、法向力与滑差率之间的关系。     

大规模路网上空车调整方法的比较与研究

以消耗的车公里数最小为目标,建立大规模路网上空车调整问题的数学模型.由于空车调整可以归结为一个线性规划问题,而LINGO软件是一种专门用于求解数学规划问题的优化计算软件,可用于求解线性规划和整数规划问题,将该软件应用于空车调整领域,并通过一算例与其它空车调整方法,如最小元素法、西北角法、神经网络法及遗传算法等进行了比较分析.结果表明,运用LINGO软件解决空车调整问题不仅节省开发时间,而且从运算时间和精度上都具有显著的优越性,是解决大规模路网上空车调整问题的有效途径.     

双纽曲线在整体式立交小匝道设计中的应用

通过对双纽曲线几何特征和路用性能的分析,提出把双纽曲线作为整体式立交小环道线型,论证了双纽曲线整体式小环道的可行性。结合实际情况,推导出了双纽曲线在道路斜交时的通用曲线方程。为了便于施工设计,选择了一个合理的双纽曲线小环道设计参数,并给出了双纽曲线的敷设定位公式。最后,从不同方面对双纽曲线整体式小环道与传统的组合式小环道进行了客观的比较。     

车灯线光源的优化设计

讨论了车灯线光源长度的优化设计,以期实现由线光源激励的带有旋转抛物面作为反射面的照明系统光强度的预期分布。采用射线跟踪法,通过模拟计算得到最优光源的长度和最优长度时,在灯前测试屏上照度分布。最后,对模型提出了合理性分析。     

Revenue management in the parking industry: a multiple garage intelligent reservation model

This paper explores how advanced reservations, coupled with dynamic pricing (based on booking limits) can be used to maximize parking revenue. An integer programing formulation that maximizes parking revenue over a system of garages is presented. Furthermore, an intelligent parking reservation model is developed that uses an artificial neural network procedure for online reservation decision-making. Finally, the paper provides some strategic and managerial implications of multi-garage revenue management systems, and discusses techniques for identifying and implementing micro-market segmentation in the parking industry.     

Investigating travel utility elements in association with travel time and mode choice: the case of Seoul,South Korea

In this paper, travel utility is conceptualized into the elements of disutility, or derived utility, and positive utility, which includes synergistic and intrinsic utility, and then analyzed in terms of the effects of these elements on weekly travel time according to three travel modes – the automobile, public transit, and nonmotorized modes – and on the choice of the annually most used mode. Linear regressions on mode-specific travel time and a multinomial logistic regression on mode choice show that, compared to life situation and land-use characteristics, utility elements are among the strongest travel determinants. Specifically, while some utility elements contribute exclusively to shifting the mode of travel and others to increasing nonmotorized travel, modal shift is most strongly affected by a disutility element, trip timeliness, and the increase in nonmotorized travel by a positive utility element, amenities.     

“海洋四号”改装优化研究

“海洋四号”进行过2次改装,已无再次加装大型设备的空间及载重量预留。然而为了满足未来8至10年的科考调查任务需求,须加装光缆绞车、A架等大型设备。为解决这一矛盾,在统筹考虑原船存在的问题和有利条件后,提出艉部切除、线形修改、整体换新、液舱布置调整、设备布置调整、单舵换装双襟翼舵等优化方案,并藉此对“海洋四号”再次进行改装。试航结果表明各项技术指标均达到预期目标,改装取得成功,改装优化方案值得借鉴。     

船舶航向线性自抗扰积分滑模控制

针对能更加精确地描述船舶动态性能的Bech模型航向控制问题,构造三阶跟踪微分器,对期望航向及其微分进行精确提取,提出了一种基于线性自抗扰的积分滑模航向控制器。该控制器采用线性扩张观测器对实际航向与内外界总扰动进行在线估计与补偿;引入积分滑模面函数,设计非线性误差反馈控制律,加快系统的收敛速度。采用Hurwitz多项式,简化控制器,实现控制器参数化。由仿真结果得出,控制器能快速准确地跟踪到期望航向,对参数摄动与外界干扰具有较强的鲁棒性。该控制器设计结构简单,线性自抗扰与变结构积分滑模面相结合的控制器设计提升了控制品质。     

Examining determinants of rail ridership: a case study of the Orlando SunRail system

The current study contributes to the literature on transit ridership by considering daily boarding and alighting data from a recently launched commuter rail system in Orlando, Florida – SunRail. The analysis is conducted based on daily boarding and alighting data for 10 months for the year 2015. With the availability of repeated observations for every station, the potential impact of common unobserved factors affecting ridership variables are considered. The current study develops an estimation framework, for boarding and alighting separately, that accounts for these unobserved effects at multiple levels – station, station-week and station-day. In addition, the study examines the impact of various observed exogenous factors such as station level, transportation infrastructure, transit infrastructure, land use, built environment, sociodemographic and weather variables on ridership. The model system developed will allow us to predict ridership for existing stations in the future as well as potential ridership for future expansion sites.