接入网技术组建铁路数字调度通信网

介绍了接入网技术在铁路通信网中的广泛应用及其发展趋势,同时又对铁路数字调度通信网的概要情况进行分析。在此基础上着重探讨了利用光纤接入技术组建区段数字调度通信网的网络结构等相关问题。得出随着通信的实时性和各种非通话信息的快速发展都要求将全光网络作为组建调度通信网的最终目标,但光接入网技术的使用是必须经历的一个阶段。     

中等城市常规公交线网连通度计算方法

为了更合理的评价公交线网的结构特性,将网络分析中的连通度指标引入中等城市常规公交路网的分析评价中。分析常规公交路网连通度的一般计算方法,并结合用地类型确定线路的权重,提出公交线网加权连通度的计算方法,并进行示例演示。     

黄土沟壑区湿软路基沉降预测模型

为合理考虑路基沉降预测时诸多影响因素的不确定性与随机性,提出基于神经网络范例推理的路基沉降预测模型。以同类工程的成功经验为基础,建立了基于神经网络的沉降范例检索模型,在范例相似度计算中,引入归一化效用函数,通过神经网络的学习,建立当前沉降范例与沉降源范例之间的相似关系,最终实现当前沉降范例的沉降预测。对黄土沟壑区湿软路基沉降预测结果表明,该模型具有较高的预测准确性,预测值与实测值绝对误差小于10%。     

交通分配的粒子群优化算法

为了方便合理地分配交通量,提出了交通量多路径分配的粒子群优化算法。算法的求解方法是在粒子群算法中构造了路径条数维的粒子空间,每维对应一条可行性路线,其值为对应路径所分配的交通量;对粒子进行归一化处理,使交通量守恒,并进行交通量的多路径分配;根据目标函数评价与筛选粒子,直到满足终止条件。实例计算结果表明:利用粒子群算法得到的目标函数值最小,各路段分配的交通量没有超容量现象,模型求解过程具有方向性,对交通分配的网络规模无限制,因此,粒子群优化算法可行、合理。     

基于认知负荷理论的网络课程信息设计探析

在教学设计中，认知负荷理论有助于激励学习者的学习积极性，使之表现出良好的学习绩效。本文主要阐述了CLT、认知信息加工理论、双重编码理论等，归纳了认知负荷理论在多媒体学习中产生的效应，提出多媒体网络课程界面设计要素的设计方法，最后根据认知负荷产生的效应提出了一种新的设计模式。     

Collection, spillback, and dissipation in pedestrian evacuation: A network-based method

We present a method of predicting pedestrian route choice behavior and physical congestion during the evacuation of indoor areas with internal obstacles. Under the proposed method, a network is first constructed by discretizing the space into regular hexagonal cells and giving these cells potentials before a modified cell transmission model is employed to predict the evolution of pedestrian flow in the network over time and space. Several properties of this cell transmission model are explored. The method can be used to predict the evolution of pedestrian flow over time and space in indoor areas with internal obstacles and to investigate the collection, spillback, and dissipation behavior of pedestrians passing through a bottleneck. The cell transmission model is further extended to imitate the movements of multiple flows of pedestrians with different destinations. An algorithm based on generalized cell potential is also developed to assign the pedestrian flow.     

Improving maritime inventory routing: application to a Brazilian petroleum case

The crude oil offloading and supply problem (COSP) is a type of operation maritime inventory routing (MIR) problem encountered by petroleum companies. In COSP, the company not only is responsible for the ship scheduling to carry the crude oil from production sites to discharge ports but also must maintain inventory levels at both ports (production and consumption) between safety operational bounds to avoid disruptions in its crude oil production and/or refining processes. We show how to improve significantly the decision-making process in a Brazilian petroleum company using a mixed-integer linear programming (MILP) model to represent COSP. Comparison tests with a current ship-scheduling method adopted in the company indicated that the use of the MILP model increased the transportation efficiency and reduced costs by 20% on average. In addition to the quantitative gains, the use of a MILP model to solve COSP has succeeded when encountering real-life events, such as variation in production or consumption rates, berth unavailability, and changes in the storage capacities at ports.     

铁路数字通信传输网络优化浅谈

以宝成线数字通信传输网络的部分优化工程为例,说明数字通信传输网络的优化方案,以满足业务开通、安全等方面的需求。     

兰州北编组站视频监控系统应用研究

视频监控系统是编组站重要的安全监控系统,以兰州北编组站的视频监控系统为背景,详细阐述了编组站视频监控系统的功能需求与应用,并为今后的大型编组站视频监控系统建设提供参考.     

Optimization of transport investment and pricing policies: the role of transport pricing in network design

This paper investigates the role of transport pricing in network design and describes two facts about flow pattern in a transportation system. The first, illustrated by an example of Braess paradox, is that adding a new link to the network does not necessarily minimize the total travel time. The second is that introducing of appropriate toll pricing may reduce not only the total network time but also the travel time for each individual traveller. It follows with the investigations of different system objectives and different pricing policies (only toll pricing and distance‐based pricing are considered), and shows how they affect the system performance and flow pattern. Lastly, a systematic optimization process is proposed for integrated planning of transport network and pricing policies.