东京轨道交通直通运营特征分析及启示

通过对东京都市圈轨道交通直通运营情况的系统梳理,整理出不同地铁线路的直通运营互通性。从城市功能分区与城市空间结构两个方面,讨论直通运营线路与城市发展协调性之间的关系。研究早高峰时段轨道交通网络直通运营区段的运力特征,并以京王线-新宿线为例,分析直通运营、快慢车等列车运行组织模式和基本规律,提出对我国轨道交通发展的建议。     

高速列车电弧集电方式研究

介绍了国外高速列车电弧集电方式的研究现状,分析了影响电弧维持的各个因素,并得出了一些结论。     

基于满意度最大化的列车开行方案研究

地铁公司在编制列车开行方案时,很难同时兼顾到公司自身利益与社会利益。因此,建立基于地铁公司效益和乘客满意度最大化的地铁列车调度方案优化模型非常必要。使用层次分析法计算不同影响因素的权重,利用模糊数学的方法对计算数据进行拟合,并通过实例验证该模型的可行性。     

Optimizing the demand captured by a railway system with a regular timetable

The railway systems in various European countries adopt regular timetables, in which the trains arrive and depart at constant intervals. In fact, their simple structure provides several advantages both to the passengers and to the management of the service. The design of such timetables has recently received a certain attention in the literature, but the standard model aims to optimize the service for a fixed demand. We relax this unrealistic assumption, taking into account the reciprocal influence between the quality of the timetable and the amount of transport demand captured by the railway. This results into a mixed-integer non linear model with a non-convex continuous relaxation. We solve it by a branch-and-bound algorithm based on a piecewise-linear overestimate of the objective function and a heuristic algorithm which iteratively applies the standard fixed-demand model and a demand-estimation model, feeding each one with data based on the solution obtained from the other one at the previous iteration. The computational results presented concern both random instances and a real-world regional network located in Northwestern Italy.     

铁路高墩大跨度连续梁桥列车走行性分析

介绍了列车安全性、舒适性及平稳性的基本涵义及评价标准,并综合运用车辆动力学与桥梁结构动力学的研究方法,建立了车桥空间耦合模型,并用计算机模拟列车通过桥梁的情况,求得车桥动力响应,对高墩大跨度连续梁桥的列车走行安全性、舒适性及平稳性进行了计算和分析。     

全自动无人驾驶地铁列车安全型网络控制系统设计

针对全自动无人驾驶地铁列车智能化、高安全性、高可靠性的特点,文章阐述了其网络控制系统的整体设计策略,从系统架构、平台架构及全自动控制核心功能等方面重点介绍其设计特点与功能,并结合实例分析了列车在无人场景下系统联动功能的设计。     

铁路人身安全防护现状分析与关键对策研究

有效保障铁路施工人员的人身安全,是国内铁路建设与运营亟需解决的问题之一。概述国内外铁路人身安全形势,分析人工防护管理体系与既有各类技术防护方法的弊端,从列车定位、人员定位、综合通信与预警模型构建等4个方面详细研究关键对策。     

Aural comfort prediction method for high-speed trains under complex tunnel environments

Aural comfort is negatively affected during a train’s passage through various tunnel environments. The objective of this study was to propose a prediction model for determining optimal operation parameter combinations to improve train occupants’ aural comfort. High-speed train model tests, combined with a mathematical transfer model, were used to obtain the interior pressure transients under varying speeds, tunnel lengths and seal indexes. Then, a middle ear finite element model was used to simulate the dynamic responses under the pressure transients, and three indicators were employed to assess the severity of aural sensations. Meanwhile, the aural discomfort were classified into four groups according to the duration. Based on the simulation results, the ordinal regression analysis method was used to reveal the effects of the considered factors on aural comfort. The results indicate that aural discomfort sensations begin when a train runs in the middle of a tunnel but are mitigated when it approaches the tunnel exit. Furthermore, aural discomfort is positively correlated with the train speed and the distance from the driver cabin of the head car but negatively correlated with the seal index and tunnel length. As a conclusion, a mathematical prediction model was established that incorporates factors including the train speed, seal index, tunnel length and car position. It can not only forecast aural sensations under certain operation parameters and tunnel environments but also be used for determining the optimal operation parameters to ensure the best aural sensations for high-speed-train occupants.     

繁忙单线铁路区段列车运行调整计划的优化

通过繁忙单线铁路区段上列车运行调整的过程、目标和方法的分析 , 提出了基于专家决策支持系统的分层求解策略 , 构造了相应问题的优化数学模型 , 并给出了相应人机结合的求解方法