铁路地理信息系统研究

铁路地理信息系统是一个利用计算机网络技术,采用分布式数据库系统建立的专业化管理与决策空间信息系统,支持管理和科技人员快速查询全国铁路资源及铁路沿线环境状况,实现政务办公、综合分析、战略决策、信息管理等方面自动化,以及防治铁路灾害决策科学化。本文从我国铁路地理信息系统的需求分析入手,探讨全国铁路地理信息系统的总体设计。     

Driver requirements and road traffic informatics

Initially the driver's role as a link in the driver-vehicle-road-traffic control-chain is discussed in a historical perspective. The gradual changes and the advantages and problems arising from these changes are discussed from behavioural point of view.Then the driver tasks are analyzed. A separation is made between trip planning, navigation, road following, traffic interaction, rule compliance, other than traffic tasks, car handling and speed choice. The relations between and the weights of these subtasks are discussed. Some existing driver behaviour models are reviewed in relation to the above mentioned tasks.Finally an effort is made based on the analyses of driver tasks and driver models to specify some general and some more specific potential advantages and problems with expected future RTI-systems.     

定时误差对部分并行干扰消除检测器的影响

重点分析了基于硬判决的部分并行干扰消除(PPIC)检测器的残余多址干扰的结构及统计特性,研究了PPIC在定时跟踪误差情况下的性能,并给出了其在定时误差跟踪下的封闭形式的误码表达式。实验表明:采用部分干扰因子可以抑制PIC系统性能恶化,而基于文献[4]给出的部分干扰因子可进一步改善系统性能。     

基于黑板体系的CGF智能决策系统的构造

介绍了一种智能决策系统的结构设计，此设计以黑板体系为构架，通过内置的黑板结构、知识源结构及椎理控制策略为CGF提供一个简易、友好的智能决策系统。在决策推理决策中，由于不精确推理算法的使用，使得此智能决策系统决策快速而准确，满足了CGF智能决策的需求。     

北斗授时技术在高速铁路信号系统地面设备时钟同步中的应用

利用北斗授时技术实现高速铁路信号系统时钟自动同步,有利于提高系统信息安全和维护水平,但目前北斗授时技术在铁路信号系统中尚无应用先例。结合高速铁路信号系统地面设备时钟同步应用现状,分析信号地面设备时钟同步需求;通过分析世界上主流卫星导航系统优缺点,结合中国铁路信号系统需求,选择北斗授时技术作为高速铁路信号系统地面设备的时钟同步技术;构建基于北斗授时技术的总体方案和具体应用方案;最后对时钟同步设备功能、系统接口和测试方案进行说明。研究成果已在中国铁路广州铁路局集团有限公司广深线实施,实现了信号系统地面设备的时钟自动同步。     

基于灰色评价理论的自适应最优路径选择

充分考虑了驾驶员在路径选择中的不同要求,依据层次分析法和灰色评价理论建立了一种根据驾驶员的偏好自适应选择最优路径的方法,并设计了相应的决策支持系统,为智能交通流诱导系统的进一步发展铺平了道路。     

两级模糊优选模型及非结构性模糊决策理论在桥梁方案比选中的应用

选择桥梁设计方案,涉及诸多因素,这些因素在某些情况下相容,在某些情况下又相斥。为了协调这些复杂关系,并降低人为因素的影响,本文引入两级模糊优选模型及非结构性模糊决策理论。并运用此模型,进行一桥梁的设计选型优化,得到了比较理想的结果,证明了此模型在桥梁方案比选中的实用性。     

An Exploration of the Relationship between Timing and Duration of Maintenance Activities

The timing and duration of an activity episode are two important temporal aspects of activity-travel behavior. Understanding the causal relationship between these two variables would be useful in the development of activity-based travel demand modeling systems. This paper investigates the relationship between these two variables by considering two different causal structures – one structure in which time-of-day choice is determined first and influences duration and a second structure in which activity duration is determined first and affects time-of-day choice. These two structures are estimated within a discrete-continuous simultaneous equations framework employing a full-information maximum likelihood methodology that allows error covariance. The estimation is performed separately for commuter and non-commuter samples drawn from a 1996 household travel survey data set from the Tampa Bay area in Florida. The results of the model estimation effort show that the causal structure in which activity duration precedes or affects activity timing (time of day choice) performs better for the non-commuter sample. For the commuter sample, the findings were less conclusive with both causal structures offering equally good statistical measures of fit. In addition, for the commuter sample, all error correlations were found to be zero. These two findings suggest that time of day choice and activity episode duration are only loosely related for the commuter sample, possibly due to the relatively non-discretionary and inflexible work activity and travel.     

谈6135D型柴油机配气相位的检查与调整

分析了柴油机配气相位正确与否，对内燃机工作的影响和排除配气相位不正时故障的具体操作方法和步骤，以及正时齿轮无记号时的装配要领。