成都市域轨道交通线网互联互通的创新实践

为实现城市空间向外持续扩展后的市域范围内快速直达,需要对市域轨道交道网络的互联互通和跨线运营进行研究.通过总结成都市域轨道交通线网的互联互通规划和设计经验,提出了X型、Y型和∞型等3种互联互通运行交路,以及与之相对应的接轨站配线设计方案,并提出了互联互通对供电、通信、信号等相关专业的配置要求.     

铁路货运机车动态周转与运用优化方法研究

从动态角度出发优化编制铁路货运机车周转与运用计划对于提高机车日常工作效率、及时配备牵引动力具有重要意义。本文以编制高效的日计划机车周转图为目标,综合兼顾机车调度过程中整备、检修、备用等因素,针对任意机车交路建立多层次连续型时空网络,从而将铁路货运机车动态周转与运用问题转化为时空网络中机车走行径路的选择问题。采用弧-路模型思想为其中任意一台机车生成可选径路集,构建相应的径路优化模型,应用遗传算法对模型求解,形成一套解决铁路货运机车动态周转与运用问题的理论优化方法。最后,通过算例验证模型与算法的合理性及有效性。     

广州地铁四号线交路运营可行性研究

介绍了广州地铁四号线实行交路运营的目的及交路运营方式,分析了目前广州地铁四号线车辆乘客信息系统(PIS)实现交路存在的报站广播及乘客显示信息问题,研究了相关问题的解决方法,对实现交路运营功能的可行性进行了深入探讨。     

应用于现代有轨电车的司机手动排路方案研究

由于目前大部分有轨电车采用与社会车辆共有路权的运营方式,当岔区与路口区域重合时,就需要司机根据路口信号机状态,选择合理时机手动办理进路。基于上述需要,讨论几种应用于现代有轨电车信号系统的司机手动排路方案,并试图减小手动排路操作的复杂度,提高手动排路正确性,从而保障有轨电车安全高效运营。     

山区铁路选线应注意的几个问题

通过对影响山区线路走向的各种因素进行分析,提出山区选线中的常见问题及解决方法。     

STUDY ON NEIGHBORHOOD DISCOVERY PROTOCOL IN COMMUNICATION NETWORKS

IntroductionIt is well known thatthe PNNIsystem is a de-veloping system in the private ATM networkfield[1～ 5] .According to Ref.[6],PNNI includestwo categories of protocols,one defines for dis-tributing topology information between switchesand clusters of switches- routing protocol,and theother defines the signalling- signalling protocol,which is message flows used to establish point topoint and point to multi- point connections acrossthe ATM network.Forrealizing the PNNIroutingwith m…     

城市轨道列车在中间站折返时的通过能力适应性分析

对城市轨道交通列车交路方案及选用时考虑的因素进行了分析,提出通过能力是否适应是采用特殊交路方案的充分条件。重点对采用特殊交路时的中间站折返能力与线路通过能力损失问题进行了定量分析,提出了在采用特殊交路时可供采取的扩能措施。     

上海轨道交通2号线分段交路运营实践

上海轨道交通2号线实行分段交路、大小交路,运营管理非常复杂.在阐述2号线历史发展三个阶段的基础上,着重对目前分段交路交叉点车站(广兰路站)的行车组织和客运组织措施进行论述,最终得到2号线分段交路运营实践的经验总结:交叉点车站的行车组织是分段交路运营的重点.制定完备的正常作业规范和非正常运营下的应急处置预案,是确保两个交...     

The fleet size and mix pollution-routing problem

This paper introduces the fleet size and mix pollution-routing problem which extends the pollution-routing problem by considering a heterogeneous vehicle fleet. The main objective is to minimize the sum of vehicle fixed costs and routing cost, where the latter can be defined with respect to the cost of fuel and CO₂ emissions, and driver cost. Solving this problem poses several methodological challenges. To this end, we have developed a powerful metaheuristic which was successfully applied to a large pool of realistic benchmark instances. Several analyses were conducted to shed light on the trade-offs between various performance indicators, including capacity utilization, fuel and emissions and costs pertaining to vehicle acquisition, fuel consumption and drivers. The analyses also quantify the benefits of using a heterogeneous fleet over a homogeneous one.     

A bi-objective cyclist route choice model

It is widely acknowledged that cyclists choose their route differently to drivers of private vehicles. The route choice decision of commuter drivers is often modelled with one objective, to reduce their generalised travel cost, which is a monetary value representing the combined travel time and vehicle operating cost. Commuter cyclists, on the other hand, usually have multiple incommensurable objectives when choosing their route: the travel time and the suitability of a route. By suitability we mean non-subjective factors that characterise the suitability of a route for cycling, including safety, traffic volumes, traffic speeds, presence of bicycle lanes, whether the terrain is flat or hilly, etc. While these incommensurable objectives are difficult to be combined into a single objective, it is also important to take into account that each individual cyclist may prioritise differently between travel time and suitability when they choose a route.This paper proposes a novel model to determine the route choice set of commuter cyclists by formulating a bi-objective routing problem. The two objectives considered are travel time and suitability of a route for cycling. Rather than determining a single route for a cyclist, we determine a choice set of optimal alternative routes (efficient routes) from which a cyclist may select one according to their personal preference depending on their perception of travel time versus other route choice criteria considered in the suitability index. This method is then implemented in a case study in Auckland, New Zealand.The study provides a starting point for the trip assignment of cyclists, and with further research, the bi-objective routing model developed can be applied to create a complete travel demand forecast model for cycle trips. We also suggest the application of the developed methodology as an algorithm in an interactive route finder to suggest efficient route choices at different levels of suitability to cyclists and potential cyclists.