铁路客运车站旅客服务系统研究

借鉴国外铁路旅客服务系统,结合我国实际,对目前既有车站的旅客服务系统的信息进行归纳和分类,并对系统进行功能和体系架构的设计和再造.对几个关键的子系统给出实现方案.     

JMS和XML的分布式应用研究

JMS具有Java语言特有的平台无关性,而且采用异步机制处理分布式应用,满足了分布式环境下异构平台的交互行为;XML逐步成为数据表示和信息交换的工业标准,并广泛应用于异构数据库之间的数据交换.JMS和XML的集成应用给现代企业的分布式应用提供了一个信息交互平台.讨论了这样一种应用模式,并辅以一个具体实例描述了其应用.     

铁路客运信息声讯查询服务系统的实现

针对旅客对铁路客运信息查询的需求,通过采集客票、调度等铁路现有生产系统的客运实时信息,结合铁路需对外宣传、公布的信息,应用计算机和通信技术,为旅客开发出利用电话通过自助语音和人工服务两种方式查询所需客运信息的声讯查询服务系统,该系统已在广州铁路(集团)公司成功投入使用.     

MPEG-4视频传输QoS映射方法

提出一种基于区分服务的MPEG-4视频传输QoS映射方法.按网络可用带宽情况和MPEG-4帧类型建立QoS索引,设置服务类型.对不同的服务类型采用有差别的队列管理机制,并采用一定的调度算法来调度各个子队列,达到区分服务的目的.实验结果表明,所提出的QoS映射在区分服务优势的基础上,比传统的服务在提高视频传输的质量方面有较大提高.     

基于Web Service的铁通信息门户设计与实现

Web Service是下一代Web的标志性技术,在企业事务处理等方面有着巨大的应用前景.介绍了Web Service及其体系结构,提出利用Web Service技术设计实现铁通信息门户的解决方案.     

基于Gb接口信令分析的深圳站进路预告故障处理

进路预告信息通过GPRS网络传递,是CTC与CIR之间传输的重要业务之一,是保障铁路运输安全的重要手段.围绕广深线深圳站进路预告接收异常问题,进行故障定位,判断为因CIR发生小区重选导致短暂脱网丢包,从而影响到深圳站进路预告接收,为此提出调整天线倾角及重选参数的优化方案,为相关铁路单位运维工作提供参考.     

公交服务水平评价的Fuzzy Logic模型

本文在充分考虑评价对象的复杂性和评价指标的模糊性的基础上,提出了城市公交服务水平的多目标、多级综合评判方法的Fuzzy Logic模型。该模型通过熵权法确定指标权重,有效避免因个人主观因素对参数指标权重的影响,避免了传统评价方法的主观片面性。最后以某市公共交通为例,依据实际运营资料,提出评价指标体系,并利用已建立的模型进行了案例分析,分析模型的正确枉及评价方法的可行性,效果良好。     

The best of times and the worst of times: A new best–worst measure of attitudes toward public transport experiences

Attitudes play an important role in determining individual transit behaviour and the measurement of attitudes is relied on by public transit authorities’ world over. Given their role in behaviour and policy making, the accurate measurement of attitudes is of critical importance. Traditional satisfaction scales are prone to bias and on their own they are only a partial measure of attitudes. Given that satisfaction scales have been used to assist with large scale transport infrastructure investment decisions, to aid policy makers examining reactions to alternative policy changes and reform, and to measure the success of new initiatives, deriving robust satisfaction scales should be of critical importance. This paper introduces a dual version of best–worst scaling as an alternative measure of satisfaction. Best–worst scaling is free of the biases inherent in traditional response scales and is ideal for handling the comparative evaluation of large amount of attributes, particularly those which are inherently qualitative. The paper makes a further innovative contribution by proposing a model structure for the joint estimation of satisfaction and importance. Our model shows a better delineation between the attributes used to measure attitudes towards bus use and a more detailed understanding of the relationship between importance and satisfaction; enabling transport operators to better understand what counts most and assess their performance.     

Improving transportation service quality based on information fusion

How to improve transportation service quality and thus attract more passengers to use public transportation systems is an important concern for city governments around the world. In this study, we propose a novel information fusion model that addresses the dependent relationships among the various criteria for a method of non-additive weighted gap analysis aimed at evaluating and improving the service quality of transport systems. The hybrid model remedies prior shortcomings and should be more applicable to real-world situations. The proposed model is applied to a real case study of Taipei city bus companies to demonstrate its usefulness. The resulting analysis and the managerial applications for improving the bus service quality are also discussed with regards to the current policies of Taipei city.     

Location planning for transit-based evacuation under the risk of service disruptions

The effectiveness of transit-based emergency evacuation highly depends on the location of pick-up facilities, resource allocation, and management. These facilities themselves are often subject to service disruptions during or after the emergency. This paper proposes a reliable emergency facility location model that determines both pre-emergency facility location planning and the evacuation operations afterwards, while facilities are subject to the risk of disruptions. We analyze how evacuation resource availability leverages individual evacuees’ response to service disruptions, and show how equilibrium of the evacuee arrival process could be reached at a functioning pick-up facility. Based on this equilibrium, an optimal resource allocation strategy is found to balance the tradeoff between the evacuees’ risks and the evacuation agency’s operation costs. This leads to the development of a compact polynomial-size linear integer programming formulation that minimizes the total expected system cost from both pre-emergency planning (e.g., facility set-up) and the evacuation operations (e.g., fleet management, transportation, and exposure to hazardous surroundings) across an exponential number of possible disruption scenarios. We also show how the model can be flexibly used to plan not only pre-disaster evacuation but also post-disaster rescue actions. Numerical experiments and an empirical case study for three coastal cities in the State of Mississippi (Biloxi, Gulfport, and D’lberville) are conducted to study the performance of the proposed models and to draw managerial insights.