Time control point strategy coupled with transfer coordination in bus schedule design

A schedule consisting of an appropriate arrival time at each time control point can ensure reliable transport services. This paper develops a novel time control point strategy coupled with transfer coordination for solving a multi‐objective schedule design problem to improve schedule adherence and reduce intermodal transfer disutility. The problem is formulated using a robust mixed‐integer nonlinear programming model. The mixed‐integer nonlinear programming model is equivalently transformed into a robust mixed‐integer linear programming model, which is then approximated by a deterministic mixed‐integer linear programming model through Monte Carlo simulation. Thus, the optimal scheduled arrival time at each time control point can be precisely obtained using cplex . Numerical experiments based on three bus lines and the mass rapid transit system in Singapore are presented, and the results show that the schedule determined using the developed model is able to provide not only reliable bus service but also a smooth transfer experience for passengers. Copyright © 2016 John Wiley & Sons, Ltd.     

浅谈计算机GIS在交通工程中的应用

介绍了GIS的基本功能及在交通工程中的应用情况。实际工作中,采用GIS会极大地提升效率,实现智能化交通。     

A reinforcement learning framework for the adaptive routing problem in stochastic time-dependent network

Most previous work in addressing the adaptive routing problem in stochastic and time-dependent (STD) network has been focusing on developing parametric models to reflect the network dynamics and designing efficient algorithms to solve these models. However, strong assumptions need to be made in the models and some algorithms also suffer from the curse of dimensionality. In this paper, we examine the application of Reinforcement Learning as a non-parametric model-free method to solve the problem. Both the online Q learning method for discrete state space and the offline fitted Q iteration algorithm for continuous state space are discussed. With a small case study on a mid-sized network, we demonstrate the significant advantages of using Reinforcement Learning to solve for the optimal routing policy over traditional stochastic dynamic programming method. And the fitted Q iteration algorithm combined with tree-based function approximation is shown to outperform other methods especially during peak demand periods.     

磁耦合谐振式WPT系统传输特性影响因素研究

文章对磁耦合谐振式WPT系统传输特性的影响因素开展了研究与分析,分析了基于SS结构的磁耦合谐振式WPT系统的传输效率模型,基于此模型研究了品质因数对系统传输特性的影响;分别研究了趋肤效应与线圈结构对传输特性的影响,并根据趋肤深度公式分析了多芯情况下的线圈品质因数计算公式,研究结果表明:传输效率与品质因数成正比,且品质因数随着导线芯数的增加而增加;圆柱型螺线管构型具有传输距离远与传输方向性好等优点,更适用于磁耦合谐振式WPT。最后搭建了实验平台,验证了理论分析的正确性。     

我国老港区改造模式分析

随着我国沿海地区经济持续快速发展，许多沿海港口同时面临着新港区的开辟与老港区的改造。对老港区存在的问题进行总结归纳，结合案例分析探讨我国老港区的改造模式与思路。     

整体桥面钢桁梁桥桥面荷载传递途径的研究

在多横梁整体桥面结构中,桥面荷载有两条传递途径:一是通过纵梁、纵肋和钢桥面板纵向传递到节点横梁,再传到下弦节点;二是通过节间内横梁及钢桥面板横向传递到下弦杆,再传到下弦节点.前者引起节点处横梁的竖向弯曲,后者引起下弦杆的竖向弯曲.本文采用有限元法对该类型桥面结构中桥面荷载的传递情况进行分析计算和试验研究.研究结果表明:影响传力比(路径传递的荷载与一个节间总荷载的比)的主要因素有下弦杆与桥面系(纵梁、纵肋和钢桥面板)的竖向刚度比α和节间横梁与节点横梁的竖向刚度比β;路径2的传力比R2随着α的增加而增加,当α小于8.3时,R2的增加速度较快,当α大于25后,R2变化很小;R2随着β的增加而增加,但增加速度略有减慢;不同节间内通过两条路径传递的荷载比例变化不大,理论值与试验值吻合良好.     

走出研究柴油机气缸套磨损问题的误区

通过对ＲＬＢ５６柴油机的调查与试验，了解到气缸套损坏过程及其特点。文章突破现有理论的局限，走出思维定势的误区，首次提出一种新的低速柴油机气缸套磨损模式－－撞击磨损模式，同时指出：解决撞击磨损的问题，不能通过提高气缸套的材质和润滑油粘度加以解决，而是应该改变柴油机有关部件的结构设计。     

CEC系统信息融合技术探讨

协同作战能力（CEC）系统是未来网络中心战感知网格的重要组成部分，本文将初步探讨CEC系统信息融合技术。首先介绍CEC系统，分析适合于CEC系统的信息融合功能模型，提出分布式融合结构模型，探讨CEC系统中航迹关联算法和目标识别方法等。     

支持向量回归在轮轨Hertz弹性接触计算中的应用

空间轮轨接触是铁道车辆系统动力学仿真对象模型中的重要柔性环节，基于材料线弹性假设的Hertz理论，可以给出两弹性体一般接触的复杂的隐式非线性关系.支持向量回归是统计学习理论中提出的新一代学习算法．轮轨接触计算可以使用它离线学习到一个显式的非线性关系．其逼近精度和表示复杂度可得到很好的折中．有利于铁道车辆系统动力学仿真的在线计算，     

多种评判函数在舰艇电力系统生命力模糊评估中的应用

应用模糊数学理论中的模糊评估方法对舰艇电力系统生命力进行模糊综合评估,建立舰艇电力系统在多种武器攻击下的模糊评估模型,在评估时使用多种评估函数进行综合评估得到舰艇电力系统的生命力指标。评估的结果说明了不同的评估函数在评估中的侧重点不一样,并且综合评估模型可以把模糊性很强的生命力指标定量化。