Application of genetic algorithms for joint optimization of signal setting parameters and dynamic traffic assignment for the real network data

This paper presents the joint optimization of signal setting parameters and dynamic user equilibrium (DUE) traffic assignment for the congested urban road network. The simulation-based approach is employed to obtain the DUE condition for the case of multiple-origin multiple-destination traffic flows. The dynamic traffic assignment simulation program (DTASP), developed in C language is used to assign the traffic dynamically on the road network, whereas method of successive averages (MSA) is modified and used to arrive at the DUE condition. The artificial intelligence technique of genetic algorithms (GAs) is applied to obtain the optimal signal setting parameters and path flow distribution factor for DUE condition. The methodology developed in such a way that joint optimization of signal setting parameters with DUE is obtained. The proposed method is applied to the real network data of Fort Area of Mumbai city comprising of 17 nodes and 56 unidirectional links with 72 Origin–Destination pairs, where all the 17 nodes are signalized intersections. The traffic flow condition for the optimized signal setting parameters is considerably improved compared to the existing signal settings. The results prove that the GA is an effective technique to solve the joint optimization problem for the real network data.     

Research on the Numerical Simulation of the Tempering Process of Steel

IntroductionTOimprovetheproductqualityandIowthecost,areIiablequanitativeanalysistoolforthedesignandoptimizationofheattreatInentishighlyneeded.Althoughmostoftheresearchworkfocusonthenumericalsimulationofquenchingt'-'],thenumericalsimulationoftemperingprocessofsteelhasalsobeenstUdied.TransformationofmartensiteintemperingisdescribedbytheAvramiequation,andthematerialconstantsusedintheequationisdeterminedbyexperiments,andtherelationbetWeencreepingvariableandstress,tempefatUreandtimeisexPressedb…     

Full vehicle simulation using thermomechanically coupled hybrid neural network shock absorber model

In the case of full vehicle models, the technique of multi-body simulation (MBS) is frequently used to study their highly non-linear dynamic behaviour. Many non-linearities in vehicle models are induced by force elements like springs, shock absorbers, bushings and tires. Commonly, spline functions are used to represent the force responses of these components. If the non-linear relationships are more complicated, the spline approximations are no more accurate. An alternative approach is based on empirical neural networks which are based on the mathematical approximation of measured data. It is well known that neural networks are able to represent and predict complex component responses accurately. The aim of this paper is to perform a dynamic full vehicle simulation using a thermomechanically coupled hybrid neural network shock absorber model. In this shock absorber model, the spline approach is combined with a temperature-dependent neural network. Based on a displacement-controlled excitation on a four post test rig in the ADAMS/Car MBS software, a rugged test track is simulated. In this way, the front and rear shock absorbers are dynamically loaded with comfort-relevant frequencies in the range of 0.75-30 Hz and velocity amplitudes up to 2 m/s. By the simulation, stability of the hybrid neural network model is demonstrated. Furthermore, the damping force, the vertical acceleration of the chassis and the required simulation times are compared. The standard spline approach is used as a reference.     

汽车车外安全气囊技术探讨

为了提高对行人的安全保护,减轻或避免汽车碰撞损失,各国都在进行车外安全气囊的研究开发。文章参考大量数据与文献,介绍了国内外气囊技术的发展现状,详述了不同位置的车外安全气囊的结构、功能,分析得出未来汽车安全气囊的发展趋势及开发难点。随着安全气囊技术的成熟,未来汽车安全化、人性化的发展趋势,安全气囊的保护范围也将进一步扩大。     

整车平顺性仿真的标准化分析研究

为了规范整车在平顺性研究方面的仿真计算,本文提出了从输入要求到平顺性模型建立及最后的数据处理等一系列标准化研究的方法。该方法在企业的应用实施工作表明,采用整车平顺性仿真的标准工作方法,可以很好地规范CAD/CAE数据,既保证了设计各阶段数据的全相关、共享,同时也保证了主模型的安全,方便设计人员与CAE分析人员之间的数据交换,提高了平顺性仿真模型的构建效率和分析质量。     

大型机电设备仿真建模的智能方法研究

本文提出了一种基于神经网络的大型机电设备仿真建模智能方法，详细讨论并解决了该法实施过程中的若干关键技术问题。通过对某船用蒸气动力装置简易训练模拟器进行仿真建模研究，表明该法对大型机电设备的仿真建模非常有效。     

调距桨桨毂机构水动力负荷加载方式仿真研究

本文首先对某调距桨进行了CFD仿真分析,然后将CFD计算得到的桨叶分布式压力负荷加载至调距桨桨毂有限元模型的桨叶上进行有限元静强度仿真计算,并与多点约束集中(MPC)加载方式的计算结果进行比较。因分布式压力加载方式更接近真实加载情况,更适应于精度要求较高的高负载调距桨桨毂设计,与分布式压强加载相比,虽然MPC加载方式精度较低,但因其载荷加载处理与仿真计算时间大为缩短,得到的结果偏安全,因此适用于一般的工程强度估算校核。     

纯电动汽车前悬架设计与仿真分析

为缩短纯电动车前悬架设计的开发时间与减少开发成本,文章利用汽车设计理论对前悬架系统中悬架主要总成件进行设计,利用Adams软件对已设计的前悬架系统进行建模和动力学仿真,分析悬架性能是否符合要求。设计出悬架系统并装车试验,性能良好。,该方法可以减少样品试制的时间与成本。     

应用Cruise(v3.0)的纯电动汽车仿真方法

本文阐述了利用奥地利AVL公司开发的Cruise(V3.0)软件进行纯电动汽车整车建模、制定仿真计算任务、运行计算并分析计算结果等的具体方法。着重介绍了Cruise、Matlab\Simulink联合仿真技术,从而将整车控制策略、电源管理策略、电机控制策略和制动回收策略应用到仿真技术中的过程和方法。     

基于VRML的陀螺罗经仿真

陀螺罗经在提供船舶航向中占非常重要的地位,其结构复杂,传统教学只是停留在对平面图形的演示和说明,这成为了航海专业的学生学习陀螺罗经的瓶颈。本文利用虚拟现实（VRML）语言做出了阿玛-勃朗MK10型陀螺罗经三维互交式仿真,清晰展示了陀螺罗经的内外结构,可以使学生较好掌握其结构和原理。