城市道路拥堵与道路平均速度相关性分析

为了探求不同等级道路交通运行特征,依托广州市天河区道路运行数据,利用SPSS统计软件分析不同等级道路上平均运行速度与道路拥堵发生概率的相关性,并定量分析不同时段不同道路交通特性,弥补了以往定性分析的不足.分析结果显示,三次曲线能够很好拟合拥堵率与速度分布,且相关性分析表明工作日晚高峰的运行状况最差,其次为非工作日的晚高峰.由于数据的限制,文中未对城市快速路拥堵状况进行细致分析,也导致了拟合模型的一定局限性.根据分析结果提出城市道路交通管制的几点建议.      

利用改进交叉算子的混合遗传算法求解VRPTW

设计了一种改进的混合遗传算法求解带有时间窗、有车辆重量限制的车辆优化调度问题（VRPTW），根据问题的实际情况，建立了数学模型，提出了改进的交叉算子，丰富了种群的多样性；并结合模拟退火算法的思想，对染色体的适应度适当变化，改善了传统的遗传算法容易“早熟”的缺点，加强了染色体的局部搜索能力。     

电气化铁道牵引供电系统加窗插值法的谐波分析

传统电气化铁道牵引供电系统的谐波分析方法受频谱泄漏和栅栏效应的影响,不能准确地得到谐波相关参数。为此,提出一种采用加六项优化余弦组合自卷积窗和四谱线插值结合的新算法对谐波进行分析。首先采用复调制细化法分析信号中基波频率附近的谐波成份,剩余信号加窗处理,利用离散傅里叶变换找出谐波频点附近相应离散频谱的4根峰值谱线,利用插值算法对电气化铁道牵引供电系统中谐波相关参数频率、幅值及相位进行加权修正并推导出计算公式,从而进一步提高分析结果的准确性。     

汽车风窗玻璃电动刮水器耐久试验台设计

介绍长城汽车股份有限公司试验中心自制电动刮水器耐久试验台的构成和功能,论述其硬件水循环系统及控制程序的工作原理。     

双导轨式车窗升降器电动机总成的设计

对双导轨式车窗升降器电动机总成结构、材料及加工工艺作了分析，同时对影响电动机总成性能性能的关键点如：噪声、电流、过载保护、密封性好、电磁兼容性作了论述。     

Two Bandwidth Packing Algorithms for the Centralized Wireless Network and Their Average-case Analysis

This paper presents a detail analysis of two bandwidth packing algorithms, used for processing connection requests in the centralized wireless network. Each call comes with a specific bandwidth request. A request can be satisfied only if there is sufficient bandwidth available during resource scheduling and allocation. Unsatisfied requests were held in a queue. The metric of bandwidth utilization ratio was used to quantify the performance of our algorithms. By theoretical analysis, our algorithms can improve the average bandwidth usage ratio significantly, about 8%~10% without adding much computation complexity. Moreover, our algorithms outperform next fit with fragmentation (NFF) algorithm when the bandwidth resource is scarce. In this paper, the contributions follows: Introducing bandwidth packing problem into wireless network; Proposing two new bandwidth packing algorithms for wireless network where the complicate scheduling algorithms are prohibited; Studying the average performance of our algorithms mathematically, which agree well with the simulation results.     

船舶玻璃窗采用弹性粘接的强度近似分析与设计探讨

弹性粘接是一项较新的技术，与传统方法相比，具有较多优点。其中最显著的优点是接头具有弹性，避免应力集中，并且整个粘接面都参与接头强度的形成，因此可以简单通过增大粘接面面积来传递更大的力。该技术用于汽车玻璃窗的粘接已经有20多年的历史，但在国内造船行业应用很少。通过分析船舶玻璃窗的受力状况和采用弹性粘接时粘接层的应力状况，介绍了粘接层强度近似分析方法，并且探讨了粘接层尺寸设计原则，说明船舶玻璃窗采用粘接剂粘接是安全可靠的。     

Sliding window method for vehicles moving on a long track

The rail is modelled as a simply supported beam in the vehicle–track coupled dynamics. The beam is formulated by a partial differential equation that is transformed into an ordinary differential equation by the method of mode superposition for numerical calculation. However, the size of the matrix that is formed by the mode-superposition method increases significantly with track length, which limits the calculation efficiency. Some methods have been developed to solve this calculation issue, but they diminish the merits of the vehicle–track coupled dynamics, which would systematically investigate the dynamics of a vehicle and a track from the entire vehicle–track system. A new method is developed to resolve this contradiction. First, a theory based on a sliding window is established to improve the computational stability with respect to the length and the window-movement ratio. Then, two methods, namely finite element method analysis and an analytical solution, are used to verify the accuracy of the new method, which is highly efficient when used in a vertical half-vehicle–track coupled model to calculate the vehicle response when the vehicle moves on a long track. The results of the vehicle response calculated with and without the sliding window show good consistency.     

路段平均行程时间估计方法

为了有效利用线圈检测数据, 精确估计路段平均行程时间, 提出了一种路段平均行程时间估计方法。将路段平均行程时间分为平均行驶时间、平均排队时间和平均通过路口时间三部分。考虑线圈埋设的特点, 通过估计平均行驶速度得到平均行驶时间。用分段时齐Poisson过程描述车辆驶入路段过程和驶离过程, 用Markov排队模型描述车辆排队过程, 用生灭过程描述排队车辆数, 得到车辆排队模型, 计算了路段有、无初始排队的平均排队时间。基于选取与路口相关的饱和流率和平均车长, 计算了平均通过路口时间。计算结果表明: 平均行程时间估计值与实测值的误差小于12%, 说明路段平均行程时间估计方法可行。     

Forecasting bunker prices; A nonstationary,multivariate methodology

This paper suggests a methodological approach for the forecasting of marine fuel prices. The prediction of the bunker prices is of outmost importance for operators, as bunker prices affect heavily the economic planning and financial viability of ventures and determine decisions related to compliance with regulations. A multivariate nonstationary stochastic model available in the literature is being retrieved, after appropriate adjustment and testing. The model belongs to the class of periodically correlated stochastic processes with annual periodic components. The time series are appropriately transformed to become Gaussian, and then are decomposed to deterministic seasonal characteristics (mean value and standard deviation) and a residual time series. The residual part is proved to be stationary and then is modeled as a Vector AutoRegressive Mooving Average (VARMA) process. Finally, using the methodology presented, forecasts of a tetra-variate and an octa-variate time series of bunker prices are produced and are in good agreement with actual values. The obtained results encourages further research and deeper investigation of the driving characters of the multivariate time series of bunker prices.