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。     

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。     

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。     

Methods to reduce dimensionality and identify candidate solutions in multi-objective signal timing problems

Adjusting traffic signal timings is a practical way for agencies to manage urban traffic without the need for significant infrastructure investments. Signal timings are generally selected to minimize the total control delay vehicles experience at an intersection, particularly when the intersection is isolated or undersaturated. However, in practice, there are many other potential objectives that might be considered in signal timing design, including: total passenger delay, pedestrian delays, delay inequity among competing movements, total number of stopping maneuvers, among others. These objectives do not tend to share the same relationships with signal timing plans and some of these objectives may be in direct conflict. The research proposes the use of a new multi-objective optimization (MOO) visualization technique—the mosaic plot—to easily quantify and identify significant tradeoffs between competing objectives using the set of Pareto optimal solutions that are normally provided by MOO algorithms. Using this tool, methods are also proposed to identify and remove potentially redundant or unnecessary objectives that do not have any significant tradeoffs with others in an effort to reduce problem dimensionality. Since MOO procedures will still be needed if more than one objective remains and MOO algorithms generally provide a set of candidate solutions instead of a single final solution, two methods are proposed to rank the set of Pareto optimal solutions based on how well they balance between the competing objectives to provide a final recommendation. These methods rely on converting the objectives to dimensionless values based on the optimal value for each specific objectives, which allows for direct comparison between and weighting of each. The proposed methods are demonstrated using a simple numerical example of an undersaturated intersection where all objectives can be analytically obtained. However, they can be readily applied to other signal timing problems where objectives can be obtained using simulation outputs to help identify the signal timing plan that provides the most reasonable tradeoff between competing objectives.     

Analytical Approach to Evaluating Transit Signal Priority

Successful deployment of transit signal priority (TSP) systems requires thorough laboratory evaluation before field implementation. Traffic simulation is a powerful tool in this regard; however, it requires tremendous efforts toward network coding, data collection, and model calibration. Besides, simulation models tend to be project specific, and the models developed for one project are often discarded upon the completion of that project. In this paper, it is shown that the impacts of two fundamental TSP strategies (early green and extended green) can be evaluated using an analytical approach. The impacts of the above two strategies on both the prioritized and the nonprioritized approaches are illustrated using graphical as well as analytical methods. A simulation study is then conducted for comparison analyses, followed by a statistical approach for the test of generality.     

基于人均延误的公交优先信号交叉口配时研究

以交叉口人均延误最小为目标,考虑公交专用道影响因素,利用延误偏差优度指数建立信号配时优化模型。结合实例,实现定时控制交叉口参数确定过程,并得到参数与延误偏差优度指数的关系。该配时方案能有效减少人均延误,为进一步发展公交优先及提高交叉口通行能力提供理论依据。     

基于LabVIEW的IRIG-B码实时采集与解析方法

授时设备是现代舰船噪声综合测试系统的重要组成部分.本文提出一种LabVIEW平台下的授时设备IRIG-B码采集解析方法.首先利用授时设备产生的秒脉冲作为触发信号控制采集设备采集IRIG-B码,然后对IRIG-B码进行门限判别预处理,再与位置识别标志比对提取信号端点,最后将IRIG-B码与移位寄存器进行移位比对,识别码字以及解析时间信息.试验结果表明,该方法能够有效解决IRIG-B码实时采集解析问题,具有定时精度高、软件开销小、抗电磁干扰能力强等优点,可应用于授时设备的开发设计、工作状态监测、信号质量评估等.     

12V150柴油机水下起动性能研究

通过试验装置模拟装甲车辆水下起动,进行了多方案对比试验,分析了影响柴油机水下起动性能的几个主要因素。结果表明,配气相位和排气系统是影响柴油机水下起动性能的2个主要因素,气门重叠角越小,越有利于水下起动;脉冲排气系统较组合脉冲排气系统更有利于柴油机水下起动。