基于主线拥堵场景的快速路级联信号控制方法

城市快速路高峰时段已经呈现出常态性拥堵，对快速路主线拥堵进行疏导尤为必要.本文通过在主线和入口匝道进行三级交通检测判别，设计了多级联动的信号控制流程与实现方式，构建了不同拥堵程度下的分级响应控制策略，基于瓶颈点通行能力最大化下的实时信号控制算法及最大排队长度限制下的实时信号控制算法，建立了主线及匝道车道开关闭、汇合处信号灯控制、主线动态限速、交通信息诱导等于一体的快速路级联信号控制方法.仿真分析结果表明，在主线不同拥堵程度下采取的级联信号控制方法，可以有效提升快速路主线平均车速，并未导致匝道排队的恶化，局部路网平均延误均有明显降低.     

考虑横向漂移的船舶路径跟踪自抗扰控制

针对船舶运动系统中内部动态不确定和外部干扰等问题,进行了欠驱动船舶路径跟踪的自抗扰方法研究。利用Backstepping设计参考航向角,并通过线性扩张状态观测器对流干扰和横向运动引起的横向漂移进行估计。其次,根据自抗扰算法对航向进行控制,采用线性扩张状态观测器对外界干扰及内部不确定项进行估计。最后仿真结果表明,在风流干扰下所设计的控制器仍能使船准确地跟踪上参考路径,验证了所提控制方案的有效性。     

技术站间货物列车协同配流方案研究

技术站间货物列车协同作业组织模式，可实现各站获益，整体加强，对提升铁路运输生产效率具有重要意义.本文建立技术站间货物列车协同配流模型.模型以最大化两技术站的正点出发列车数作为目标函数，采用启发式遗传算法进行寻优，得到货物列车解编顺序和配流方案.最后，通过对算例进行实验分析，验证协同配流模型的实用性.结果表明，技术站间协同配流作业明显压缩车辆在站总停留时间，增加了阶段计划内正点出发列车数，进而提高了技术站内线路使用能力.     

考虑收益管理的高铁平行车次动态差别定价

基于RP(Revealed Preference)和SP(Stated Preference)调查数据，利用潜在类别模型对高铁旅客进行细分，得到旅客对平行车次不同服务属性，如列车运行时间、发车时段和舒适度的偏好程度，并对其进行量化；引入收益管理，以多列车整体收益最大为目标，构建平行车次动态差别定价模型，并设计模拟退火算法进行求解；最后，通过京沪高铁进行实例验证.结果表明：与固定票价进行客票销售相比，所提方案能够适应高峰期和平峰期不同客流特点，提高铁路客票总收益，为高铁平行车次灵活定价提供参考.     

沉箱开孔对平均越浪量的影响

针对开孔沉箱对平均越浪量影响的问题,以国内某港区通用码头工程为基础,对比分析了直立式沉箱和开孔沉箱平均越浪量的多种经验公式计算方法,并和断面物理模型试验结果进行比较。公式计算结果显示,开孔沉箱与不开孔沉箱平均越浪量之比为25%~50%;断面物理模型试验结果显示,沉箱开孔与不开孔时越浪量之比为30%~82%。研究表明开孔沉箱能够有效降低海岸结构物的平均越浪量;国内学者提出的开孔沉箱越浪量计算方法所得结果更加接近物理模型试验结果。     

Locating emergency vehicles with an approximate queuing model and a meta-heuristic solution approach

In this paper, the location of emergency service (ES) vehicles is studied on fully connected networks. Queuing theory is utilized to obtain the performance metrics of the system. An approximate queuing model the (AQM) is proposed. For the AQM, different service rate formulations are constructed. These formulations are tested with a simulation study for different approximation levels. A mathematical model is proposed to minimize the mean response time of ES systems based on AQM. In the model, multiple vehicles are allowed at a single location. The objective function of the model has no closed form expression. A genetic algorithm is constructed to solve the model. With the help of the genetic algorithm, the effect of assigning multiple vehicles on the mean response time is reported.     

Air traffic assignment to reduce population noise exposure using activity-based approach

Aircraft noise has been regarded as one of the major environmental issues related to air transport. Many airports have introduced a variety of measures to reduce its impact. Several air traffic assignment strategies have been proposed in order to allocate noise more wisely. Even though each decision regarding the assignment of aircraft to routes should consider population exposure to noise, none of the air traffic assignment strategies has addressed daily migrations of population and number of people exposed to noise. The aim of this research is to develop a mathematical model and a heuristic algorithm that could assign aircraft to departure and arrival routes so that number of people exposed to noise is as low as possible, taking into account temporal and spatial variations in population in an airport’s vicinity. The approach was demonstrated on Belgrade airport to show the benefits of the proposed model. Numerical example showed that population exposure to noise could be reduced significantly by applying the proposed air traffic assignment model. As a consequence of the proposed air traffic assignment, overall fuel consumption increased by less than 1%.     

基于改进移动最小二乘法的结构可靠性分析

基于改进移动最小二乘法对结构可靠性问题进行分析,数值模拟结果表明,改进方法可有效提高计算精度.具体方法是使用椭圆范数代替二范数来度量样本点到中心点的距离,并根据上次迭代所得到的响应面在中心点处的法向量与坐标轴所成角度,对影响域进行旋转变换;从而将样本点的权重大小由样本点与中心点、响应面的距离共同决定,并将每次迭代得到的响应面函数在中心点处的法向信息包含在内.     

Development and calibration of a long-distance passenger traffic assignment model

This paper studies the assignment of long-distance passenger traffic on a highway corridor network. First, we propose a traditional model for the long-distance traffic assignment considering interactions with local commuter traffic. It addresses the effect of local networks on highway corridors. An iterative algorithm is developed to solve for the exact solution. Then, to address the potential computational issues that arise therein, a decomposition method is proposed by introducing a new concept of corridor elasticity. An assignment procedure for long-distance passenger traffic is developed accordingly. Numerical tests show that the proposed decomposition method makes significant improvements in computational performance at a small loss of optimality. This decomposition method well approximates the exact assignment from the traditional formulation, especially when the highway corridors are near-saturation. The proposed decomposition method appears practical for application.