Simulating train movement in railway traffic using a car-following model

Based on a car-following model, in this paper, we propose a new traffic model for simulating train movement in railway traffic. In the proposed model, some realistic characteristics of train movement are considered, such as the distance headway and the safety stopping distance. Using the proposed traffic model, we analyse the space-time diagram of traffic flow, the trajectory of train movement, etc. Simulation results demonstrate that the proposed model can be successfully used for simulating the train movement. Some complex phenomena can be reproduced, such as the complex acceleration and deceleration of trains and the propagation of train delay.

Modelling and Simulation for Train Movement Control Using Car-Following Strategy

Based on optimM velocity car-following model, in this paper, we propose a new railway tramc model for describing the process of train movement control. In the proposed model, we give an improved form of the optimal velocity function V^opt, which is considered as the desired velocity function for train movement control under different control conditions. In order to test the proposed model, we simulate and analyze the trajectories of train movements, moreover, discuss the relationship curves between the train allowable velocity and the site of objective point in detail. Analysis results indicate that the proposed model can well capture some realistic futures of train movement control.

Simulation optimization for train movement on a single-track railway

Optimizing train movement has a great significance for railway traffic. In this paper, based on the optimal velocity car-following model, we propose a new simulation model for optimizing train movement in railway traffic. Here a kind of single-track railway is considered. Our aim is to reduce the energy consumption of train movement and ensure the train being on time by controlling the velocity curve of train movement. The simulation results indicate that the proposed model is effective for optimizing train movement. In addition, some major characteristics of train movement can be well captured. This method provides a new way to optimize train movement in railway traffic.

Modeling and simulation of high-speed passenger train movements in the rail line

In this paper, we propose a new formula of the real-time minimum safety headway based on the relative velocity of consecutive trains and present a dynamic model of high-speed passenger train movements in the rail line based on the proposed formula of the minimum safety headway. Moreover, we provide the control strategies of the high-speed passenger train operations based on the proposed formula of the real-time minimum safety headway and the dynamic model of highspeed passenger train movements. The simulation results demonstrate that the proposed control strategies of the passenger train operations can greatly reduce the delay propagation in the high-speed rail line when a random delay occurs.

Discrete-time movement model of a group of trains on a rail line with stochastic disturbance

This paper presents a discrete-time model to describe the movements of a group of trains, in which some operational strategies, including traction operation, braking operation and impact of stochastic disturbance, are defined. To show the dynamic characteristics of train traffic flow with stochastic disturbance, some numerical experiments on a railway line are simulated. The computational results show that the discrete-time movement model can well describe the movements of trains on a rail line with the moving-block signalling system. Comparing with the results of no disturbance, it finds that the traffic capacity of the rail line will decrease with the influence of stochastic disturbance. Additionally, the delays incurred by stochastic disturbance can be propagated to the subsequent trains, and then prolong their traversing time on the rail line. It can provide auxiliary information for rescheduling trains When the stochastic disturbance occurs on the railway.

Study on Optimization of Urban Rail Train Operation Control Curve Based on Improved Multi-Objective Genetic Algorithm

A multi-objective improved genetic algorithm is constructed to solve the train operation simulation model of urban rail train and find the optimal operation curve.In the train control system,the conversion point of operating mode is the basic of gene encoding and the chromosome composed of multiple genes represents a control scheme,and the initial population can be formed by the way.The fitness function can be designed by the design requirements of the train control stop error,time error and energy consumption.the effectiveness of new individual can be ensured by checking the validity of the original individual when its in the process of selection,crossover and mutation,and the optimal algorithm will be joined all the operators to make the new group not eliminate on the best individual of the last generation.The simulation result shows that the proposed genetic algorithm comparing with the optimized multi-particle simulation model can reduce more than 10%energy consumption,it can provide a large amount of sub-optimal solution and has obvious optimization effect.

面向安全高效运行的重载列车智能操控关键技术

面向我国重载铁路自动化和智能化发展以及重载铁路运输需求持续增长对既有列车运行控制带来的严峻挑战,文章围绕重载列车智能操控关键技术展开了研究现状介绍,并分析了目前亟待解决的难题与未来发展趋势。首先,针对列车纵向动力学建模,已有研究多考虑单一环境、固定工况下机理建模及分析,难以精确表征列车运行过程中的内、外部参数时空渐变特性,因此,在已有机理模型基础上考虑未建模动态,并进行降阶等效是未来一个重要研究方向。其次,长编组列车车辆间非线性强耦合特性、空气制动特性对列车运行过程中纵向冲动的影响依旧为重载列车操纵优化带来了巨大的挑战,借鉴高速列车多车协同控制技术,研究考虑主动抑制纵向冲动的重载列车多机车分布式协同控制具有重要意义。最后,结合数据驱动与人工智能算法、多源信息融合等新兴技术分析了列车控制领域一些新的机遇,而耦合仿真平台与评估体系的搭建也将成为重载列车安全运行分析、评估与优化的一种有效途径。

人工智能与活性污泥仿真软件在污水处理中的协同应用

人工智能对复杂非线性动态问题具有强大的处理能力,正在成为污水处理系统模拟、预测与优化的热门工具。实际污水处理系统提供的训练数据数量不足或质量较差,是制约人工智能应用于污水处理领域的一大障碍。活性污泥仿真软件可准确模拟实际污水处理系统,为人工智能提供丰富的高质量训练数据。同时,人工智能可扩展活性污泥仿真软件的功能与应用场景。但是,鲜有文献对人工智能与活性污泥仿真软件的协同应用进行系统性阐述。基于此,文章归纳总结了人工智能、活性污泥仿真软件以及两者协同应用的特点与现状,列举了相关的经典案例或最新案例,提出了4点未来研究方向,以期为人工智能与活性污泥仿真软件在污水处理中的协同应用提供研究思路。

一种适用于非连通交通网络的军事轮式平台机动路径规划方法研究

针对现有战术训练模拟或作战仿真实验系统中军事轮式平台在非连通交通网络中的机动路径规划问题,在道路插值预处理结果基础上,设计一种基于Geohash的空间搜索算法,将机动时起点、终点与原有交通路网构造连通,进一步考虑地形地貌对机动性能的影响,修正Dijkstra最优路径算法,计算生成最短路径图,有效解决起点、终点不在交通路网上的非连通机动路径寻优问题。实验表明所提算法在访问顶点数目和搜索效率上存在明显优势。

列车车厢内火灾烟气运动的数值模拟研究

使用大涡模拟和 Smagorinsky亚格子尺度模型 ,以及简单化学快速反应燃烧模型 ,对列车车厢内火灾现象进行了数值模拟。由于热烟气的弱可压缩性 ,采用了适合于低马赫数形式的三维非稳态 Navier-Stokes方程的近似形式数值研究烟气的输运过程。通过对不同释热率情况下火灾过程的研究 ,初步探讨了车厢内火灾发展、烟气运动和温度分布规律。采用的研究方法和所得结论对于列车火灾的防护设计和安全管理方面有一定指导意义。

列车运行监控联机仿真系统研究

研究了用于模拟列车操纵与运行、模拟列车运行监控系统工作、为车载监控系统离线试验提供列车运行模拟环境等功能的计算机仿真系统,该系统采用面向对象方法和模块化设计,具有良好的可扩展性,可为列车运行监控理论、方法和系统研究提供一个通用的开放式数字化实验平台。

联合收割机清粮筛的运动仿真与优化

清粮筛筛面的运动状态是影响清粮性能的关键因素。为了优化清粮筛机构的工作参数(结构参数和运动参数),提高清粮性能,运用CAD/CAE运动学仿真软件对清粮筛进行了3D建模和运动仿真分析,考察了筛面加速度的变化规律。仿真结果表明:在相同的变动比例下,筛面的加速度对连杆长度的变化最为敏感;曲柄的转速对筛面的加速度也有重要的影响。因此选择连杆长度和曲柄转速作为关键参数,以振动最小和筛面加速度最大为优化的目标。经优化:该机构在谷物清选时,清粮筛的其他结构参数不变,连杆LAB=0.46m、曲柄转速n=330r/min为最佳。

电网对称故障下双馈风电机组的载荷优化控制

电网电压骤降引起发电机电磁转矩的暂态波动,这会引起传动链上显著的暂态冲击,降低了传动系统特别是齿轮箱的使用寿命。文中通过FAST和MATLAB/Simulink联合仿真,建立了5MW双馈风电机组机械和电气暂态模型,分析了电网对称故障对传动链扭转载荷的影响。提出了一种基于线性二次型调节器(LQR)的转矩阻尼控制器,来降低故障恢复期间的载荷。仿真结果表明,提出的方法有效地抑制了传动链的扭振。

列车运行模拟系统建模与实现

介绍了列车运行的计算机模拟系统软件设计的建模过程及实现方法 .探讨了计算机仿真技术在列车运行控制中的应用 ,为列车运行模拟系统的软件设计提供了可靠的数学模型和理论依据 .应用结果表明 ,该方法准确、合理、可行性较好 .

微粒群算法优化化工建模训练集

提出两种均以微粒群(PSO)算法对原始训练集随机抽样优化,再结合机器学习算法建立预测模型的PSO算法优化化工建模训练集的思路。思路1首先以模型交叉验证的均方误差函数mse最小为目标优化训练集,再通过对验证集预测,从平行运行得到的多个优化训练集中确定最优训练集用于建模。思路2借鉴提高BP神经网络泛化能力的初期终止(early stop)法,以对验证集预测的mse最小为目标优化训练集,再通过对测试集预测,从平行运行得到的多个优化训练集中确定最优训练集用于建模。通过仿真实验研究和对某炼油厂调和汽油生产数据的具体分析应用,表明本文思路可以较大幅度提高模型的预测准确性,在化工建模中具有推广应用价值。

羽毛球训练机发球性能分析及优化设计

为了解决陪练员发球不精准、陪练员工作量大所导致的羽毛球运动员训练效率低等问题,提出了一种羽毛球训练机,分析了其发球原理。利用多体动力学仿真软件Adams,进行了运动学仿真,并建立了羽毛球训练机发球机构的参数化模型,分析了特征点在发球过程中行程的变化,并以发球机构中滑块行程最大为优化目标,对影响羽毛球发球机发球性能的关键参数进行了优化设计。优化结果表明,发球机构的发球性能得到了大幅的提升,并满足专业运动员和羽毛球爱好者的训练要求,为羽毛球训练机的总体结构设计与研究奠定了基础。

基于动力学模型的飞行员舒适操作域研究

依据中国成年男性的人体测量数据和拉格朗日方程建立飞行员上肢操作的动力学模型。利用NASA最大关节力矩计算公式和飞机座舱操纵杆的实际安装尺寸,对驾驶员的操作活动进行模拟仿真。针对具体的操作过程,通过计算上肢各关节的实际受力情况,确定上肢的三维舒适操作域,并与正向运动学结合经验关节舒适活动范围计算的方法进行了比较,结果说明该方法是可行的。该方法可以用于座舱操纵装置布局的工效分析,为飞行员驾驶工效的评估提供了一种新的思路和方法,对座舱布局优化设计有一定的参考价值。

行星轮系卷扬机传动机构的运动仿真分析

在行星轮系卷扬机传动机构原理的基础上,对传动机构进行运动分析,分析计算传动机构的传动比;运用Pro/E软件对其传动机构零部件进行三维实体建模、装配、检查干涉、运动仿真分析,并采用动画模拟行星轮系传动卷扬机的运转过程。在演示回放过程中,仿真跟踪指定的关键点,得出其运动变化曲线。通过计算机仿真与理论计算对比,证实了Pro/E中运动仿真的模型正确、结果可信。

列车运行数字仿真及其在技术标准优化建模中的应用

本文详细论述了列车运行数字仿真模型和基于仿真计算结果的运营指标的建模方法，并给出了仿真算例与结果分析．以列车运行数字仿真的计算结果作为建模的基础数据具有一致性和可比性强，模型可靠且精度高的特点．本研究为铁路主要技术标准综合优化的推广使用奠定了必要的基础，具有广阔的应用前景．

基于时空网络的城际高速铁路列车开行方案优化方法

列车开行方案是有效利用铁路运输能力和提升服务质量的关键组织手段。基于城际铁路客流的时变特性,将时空网络方法引入城际列车开行方案决策,增加考虑客流出行时间信息,从而能更加全面评价所得方案。在构造开行方案时空网络图的基础上,以最小化包括列车运行成本、旅客旅行时间、旅客出发偏差时间和未上车惩罚和列车数量等的总成本为目标,考虑时空网络客流及列车流守恒、发车时间间隔和列车能力等约束,建立基于时空网络的城际高速铁路列车开行方案优化模型,并设计双层模拟退火算法进行求解,其中内层算法优化列车停站方案,外层算法优化列车起讫点、开行数量和始发时间。算例计算分析表明,所提方法能为城际铁路列车开行方案决策提供科学依据。