基于GIS的不良地质三维建模及线路优化设计研究

现代选线设计更为注重地质选线、环境选线的理念,需要对选线区域的地质问题进行有效的可视化表达。基于Arc GIS对三维数据处理及其可视化功能,在建立三维地形环境的基础上,通过获取不良地质的矢量、栅格数据以及钻孔数据,建立不良地质实体模型,并将其叠加到三维地形中得到三维地质选线环境,从而对经过不良地质区域的线路进行更加全面地平立面绕避方案比选,解决单一平面绕行引起的方案缺失问题,使线路设计方案更具科学性。     

地铁车辆转向架轴承故障诊断方法研究

地铁车辆转向架轴承状态对车辆的安全运行至关重要。现有地铁车辆转向架轴承的监测与诊断存在智能化程度低、准确性差等不足。针对此不足,对地铁车辆转向架轴承故障模型进行推导,提出一种地铁车辆转向架轴承故障智能诊断方法。该方法根据转向架轴承径向振动加速度信号,采用小波包-包络分析和故障识别搜索算法,诊断轴承故障及故障类型。为了验证所提出方法的有效性,设计并搭建了轴承故障诊断试验台,基于此试验台对广州地铁车辆转向架故障轴承进行了测试。试验结果表明:所提出的转向架轴承故障诊断方法能够准确识别轴承故障,为地铁车辆转向架轴承故障诊断的自动化、智能化提供了新思路。     

无线闭塞中心数据配置建模技术研究

研究了一种基于图论的生成无线闭塞中心配置数据的数据模型,研究了如何用该数据模型描述基础信号数据,以及从该数据模型转化为无线闭塞中心各类主要配置数据的计算模型和算法。     

基于Dijkstra优化算法的多媒体地铁综合信息查询系统

论述了地铁综合信息查询系统的硬件与软件组成模式。该系软件部分由乘车查询、本站信息、地铁线路、出行指南4大模块组成。着重介绍了基于Dijkstra优化算法实现的乘车查询核心模块。     

考虑不同满轴约束的编组站阶段计划配流优化

基于阶段计划列车解编顺序优化,同时考虑出发列车牵引质量及换长两个满轴约束,以车流接续与分配的"代价"最小为目标,构建编组站配流优化0-1整数规划模型,并设计与ILOG优化软件结合的和声搜索算法进行求解。其中配流结果使用ILOG求解,列车解编顺序则采用和声搜索策略进行优化。在构造新的和声过程中,采用邻域搜索策略提升算法的寻优效率。算例结果表明:提出的方法能获取鲁棒性更高的配流方案。     

自动寻车技术在汽车智能网联系统中的应用

现如今,我国科技快速发展,我国各行各业都将智能网络应用其中。当前汽车行业正在快速发展,在基于科技发展的前提下,智能网络的辅助将推动汽车行业向鼎盛时期发展,智能网络的融入能够提升人生的生活质量,以及为人们带来便捷生活。其中自动寻车技术是当前用户所需求的,这是一种高端智能技术,是建立在智能网络系统之上的,这种技术的广泛应用,将助力解决用户在停车场找不到车的问题,这种技术的产生能够为人们带来更为便捷的生活。     

进路信息数据表编制软件的优化设计方案

提出一种优化设计方案,引入信号平面图作为该编制软件的基础资料,通过自动获取平面图数据,构建站内多速度模型,实现进路数据编制的全面自动化。经工程设计实践证明,该方法操作简单,且能保证数据的准确性,极大地提高了工作效率。     

A Novel Optimal Routing for Navigation Systems/Services Based on Global Navigation Satellite System Quality of Service

The positioning quality of global navigation satellite system (GNSS), or GNSS quality of service (QoS), is a major factor impacting real-time navigation performance. Commonly requested routes (i.e., shortest or fastest) may include areas with poor GNSS QoS, which can subsequently degrade navigation performance. To provide alternative routes with high or acceptable GNSS QoS along a route, a novel optimal routing for navigation systems/services based on GNSS QoS by utilizing integrated GNSS (iGNSS) QoS prediction is presented in this article. New routing criteria based on GNSS QoS are maximum availability, maximum accuracy, maximum continuity, and maximum reliability. Two experiments were conducted to compare GNSS QoS-based routes against shortest routes. In one experiment, routes were simulated, and in another, generated routes based on GNSS QoS were evaluated against GPS-based trajectories as ground truths. The results show that GNSS QoS-based routes provide routes with higher QoS, more than 50%, and longer, about 50%, than shortest routes.     

Carpooling problem: A new mathematical model,branch-and-bound,and heuristic beam search algorithm

Carpooling is an environmentally friendly transportation system. It can efficaciously help resolve a variety of societal concerns of the urban areas, ranging from traffic congestion to environmental pollution. In this paper, we propose a new mathematical model to solve the carpooling problem. The model simultaneously minimizes the costs of travel times, the vehicle use, and the vehicle delays. An exact solution method based on Branch-and-Bound (B&B) algorithm is proposed to efficiently obtain the optimal solution of the problem. In order to find the near-optimal solutions for large-scale problems, a heuristic beam search algorithm is introduced, which is based on the partial relaxation of some fathoming criteria applied in our proposed B&B. The computational experiments are conducted, based upon the transportation network of Isfahan city, Iran. The results demonstrate the great capability of the proposed exact solution method in terms of both computational solving time required and the number of the evaluated nodes, in comparison with CPLEX software package. The findings of this research can be applied to solve the carpooling problem compatible to the real-life situations.