Balancing energy consumption and risk of delay in high speed trains: A three-objective real-time eco-driving algorithm with fuzzy parameters

Eco-driving is an energy efficient traffic operation measure that may lead to important energy savings in high speed railway lines. When a delay arises in real time, it is necessary to recalculate an optimal driving that must be energy efficient and computationally efficient.In addition, it is important that the algorithm includes the existing uncertainty associated with the manual execution of the driving parameters and with the possible future traffic disturbances that could lead to new delays.This paper proposes a new algorithm to be executed in real time, which models the uncertainty in manual driving by means of fuzzy numbers. It is a multi-objective optimization algorithm that includes the classical objectives in literature, running time and energy consumption, and as well a newly defined objective, the risk of delay in arrival. The risk of delay in arrival measure is based on the evolution of the time margin of the train up to destination.The proposed approach is a dynamic algorithm designed to improve the computational time. The optimal Pareto front is continuously tracked during the train travel, and a new set of driving commands is selected and presented to the driver when a delay is detected.The algorithm evaluates the 3 objectives of each solution using a detailed simulator of high speed trains to ensure that solutions are realistic, accurate and applicable by the driver. The use of this algorithm provides energy savings and, in addition, it permits railway operators to balance energy consumption and risk of delays in arrival. This way, the energy performance of the system is improved without degrading the quality of the service.     

高压齿轮泵浮动侧板的动态平衡机理

针对高压齿轮泵浮动侧板磨损问题，在解析齿轮泵内部流场的基础上重点研究了浮动侧板反推力作用点变化规律和导致侧板产生倾覆力矩的关键因素。以某型号高压大排量齿轮泵为模型，运用CFD软件解析齿轮泵内部流场并根据侧板结构特点建立压紧力和反推力的求解微分方程，求得一个轮齿啮合周期内的侧板倾覆力矩变化规律，同时通过建立齿轮泵工作腔压力测试系统对该理论分析结果进行验证，额定工况下：试验值与理论值误差为4.18%，当轮齿转角φ=14°时倾覆力矩达到最大值Ms=82.16N?m。该研究为高压大排量齿轮泵浮动侧板倾覆力矩计算和侧板结构优化设计提供了理论基础和技术支撑。     

学生体质健康状况动态分析与应对策略——以辽宁省交通高等专科学校为例

本文把在校大三学生为研究主体对象,对其3年的体质测试数据进行动态的形式分析,为准确地掌握学生的体质健康状况的变化规律和存在的问题,以便在日后的体育教学中科学地指导和有针对性的开展体育教学工作,更好地促进学生体质的健康发展和改进学校体育教学。     

W-SPSA in practice: Approximation of weight matrices and calibration of traffic simulation models

The development and calibration of complex traffic models demands parsimonious techniques, because such models often involve hundreds of thousands of unknown parameters. The Weighted Simultaneous Perturbation Stochastic Approximation (W-SPSA) algorithm has been proven more efficient than its predecessor SPSA (Spall, 1998), particularly in situations where the correlation structure of the variables is not homogeneous. This is crucial in traffic simulation models where effectively some variables (e.g. readings from certain sensors) are strongly correlated, both in time and space, with some other variables (e.g. certain OD flows). In situations with reasonably sized traffic networks, the difference is relevant considering computational constraints. However, W-SPSA relies on determining a proper weight matrix (W) that represents those correlations, and such a process has been so far an open problem, and only heuristic approaches to obtain it have been considered.This paper presents W-SPSA in a formally comprehensive way, where effectively SPSA becomes an instance of W-SPSA, and explores alternative approaches for determining the matrix W. We demonstrate that, relying on a few simplifications that marginally affect the final solution, we can obtain W matrices that considerably outperform SPSA. We analyse the performance of our proposed algorithm in two applications in motorway networks in Singapore and Portugal, using a dynamic traffic assignment model and a microscopic traffic simulator, respectively.     

高速公路中收费和清分的动态解决方案

在高速公路收费和清分过程中,由于新增的高速公路和收费站点特别是环型路段的增加使得原有的静态算法已经不适宜于现实情况。本文提出了高速公路中基于最短路径和环型路段的动态收费和清分解决方案,并给出了详细的基于环型路段的动态算法。环型路段问题解决后,可以判知车辆实际行车路线,从而大幅提高收费及清分的准确性和效率。     

立交线形动态拖动设计的关键技术

对立交线形动态拖动设计的几个关键技术进行论述.分析了缓和曲线计算精度,提出了动态拖动模式设计模型,以及约束满足条件下的非线性方程组的数值解算法.     

基于Bayes判别分析方法的叙岭关隧道溶洞水源识别

基于Bayes判别方法,选取水化学常量组分作为判别指标,利用叙岭关隧道地区9个动态监测点的53个水样样本建立了该地区的水源判别模型.模型检验结果表明,其回判准确率为96.23％,具有较高的识别精度和工程推广能力.利用建立的判别模型,对叙岭关隧道1号溶洞内两个出水点RQ1和RQ2的水源进行了识别,并结合其流量动态变化特征、同位素分析结果,以及1号溶洞发育位置,推断1号溶洞内两个出水点的水源为P1m+q含水层中的岩溶地下水.根据判别结果,建议1号溶洞采取“以排为主”的原则加以处治,并尽量保留溶洞水的过水通道.     

非均质边坡动力稳定性分析

文章根据土质边坡安全系数计算原理和可靠度JC迭代计算方法,通过建立弹塑性本构模型,对某非均质边坡的稳定性进行了数值模拟分析。结果表明,该边坡处于稳定状态,该数值分析精度满足规范要求。     

Modeling the Car-Truck Interaction in a System-Optimal Dynamic Traffic Assignment Model

Several transportation problems, such as implementation of truck-only lanes, require understanding the interaction of heterogeneous dynamic traffic flows in order to provide accurate solutions. System-optimal dynamic traffic assignment can be modeled using a network loading procedure based on the cell transmission model, that is, the hydrodynamic wave model, and solved by linear programming. However, this framework cannot handle the asymmetric integration between the flow of trucks and cars. This article presents a novel formulation for network loading in system-optimal dynamic traffic assignment considering car–truck interactions. By using an embedded cell transmission model, this formulation incorporates a set of assumptions related to the kinematic characteristics of the flow of cars, trucks, and their interactions that can be solved using linear programming. We present numerical results supporting our modeling assumptions. Likewise, the observed emergent behavior captures the car–truck interactions accurately and indicates that minimum system-optimal travel time is obtained by encouraging cars to use highways with shorter distances.     

基于模型匹配控制的PHEV动态协调控制方法

在分析发动机与电动机的动态响应特性基础上,设计基于模型匹配控制的整车动力系统动态协调控制方法,并在所建立的并联式混合动力汽车(PHEV)的前向仿真模型上对该方法进行研究,证明该方法能有效控制2个动力源的动力耦合过程,具有较高的转矩控制精度和很好的动态响应特性,并利用所建立的硬件在环仿真试验台对该方法进行试验验证。