调度集中系统中双机热备机制的实现

研究了调度集中系统中双机热备的实现方案.给出了故障定义原则,详细讨论了双机之间的基本倒机原则及倒机优先级,并进一步给出了双机热备机制的工作原理流程图,列出了双机热备机制中的状态转移.本文提出的双机热备实现方案已在FZj-CTC型分散自律调度集中系统中得到了应用,应用结果表明,本方案切实可用.对于高可靠的应用要求,本文具有良好的借鉴作用.     

铁路信号微机在线检测系统的研制

给出了所研制的铁路信息微机在线检测系统的工作原理，本系统适用于中小型信号站，具有成本低，使用维护等方便等优点。     

交叉口协调感应信号控制

介绍了传统的感应控制方法,着重对协调感应信号控制的基本原理,控制过程等进行了分析,并提出了解决问题的方法。分析了定时信号控制和感应信号控制的优缺点,对感应信号控制的进一步研究提出了几点看法。     

失效件数很少的可靠性试验数据处理方法研究

可靠性试验的数据是产品设计与改进的重要依据，本针对现有的数据处理方法不能满足失效件数很少时对试验数据的处理这一情况，提出了一种有条件的数据处理方法并举例予以说明，在此基础上开发出了包括这种处理方法模块的分析软件。     

信号控制对动态路线选择的影响研究

以动态路线选择模型为基础的先进的出行者信息系统（ＡＴＩＳ）的实施必然对城市交通控制系统产生影响，同时交通控制系统的控制方案对路线诱导信息“运行时间”的估计也发生作用，影响用户对最优路线的造选择。对两系统的相互关系进行了分析，并建立了两系统相互关系模型最后给出了实际案例分析。     

一种基于垂直字符边界特征的车牌定位方法

提出了一种基于垂直字符边界点特征的车牌定位方法，该方法能有效定位车牌，定位精度高达９８％，定位时间不超过２ｓ，并能有效地克服光线和天气条件等影响。     

城市交通信号控制研究综述

分析了我国城市交通信号控制研究的方法和现状。介绍了国内城市交通信号控制应用现状，并指出了我国城市交通信号控制的难点及其发展趋势。     

异步牵引电机双微机矢量控制系统的研究

给出了一种适用于电力机车大功率场合应用的矢量控制方案，为实现方案设计了一种基于浮点数字信号处理器ＴＭＳ３２０Ｃ３１和单片机８０Ｃ１９６ＭＣ双微机结构的控制系统，该控制系统充分利用了ＴＭＳ３２０Ｃ３１的快速浮点运算功能以及８０Ｃ１９６ＭＣ的ＰＷＭ波形生成能力。实验结果表明本文所采用的双微机系统实时性好，能够完成矢量控制中复杂的运算以及ＳＰＷＭ调制信号的产生，并能在子系统间进行可靠的数据交换。     

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 and simulation approaches to understand combined effects of transit signal priority and road-space priority measures

Transit signal priority (TSP) may be combined with road-space priority (RSP) measures to increase its effectiveness. Previous studies have investigated the combination of TSP and RSP measures, such as TSP with dedicated bus lanes (DBLs) and TSP with queue jump lanes (QJLs). However, in these studies, combined effects are usually not compared with separate effects of each measure. In addition, there is no comprehensive study dedicated to understanding combined effects of TSP and RSP measures. It remains unclear whether combining TSP and RSP measures creates an additive effect where the combined effect of TSP and RSP measures is equal to the sum of their separate effects. The existence of such an additive effect would suggest considerable benefits from combining TSP and RSP measures. This paper explores combined effects of TSP and RSP measures, including TSP with DBLs and TSP with QJLs. Analytical results based on time-space diagrams indicate that at an intersection level, the combined effect on bus delay savings is smaller than the additive effect if there is no nearside bus stop and the traffic condition in the base case is under-saturated or near-saturated. With a near-side bus stop, the combined effect on bus delay savings at an intersection level can be better than the additive effect (or over-additive effect), depending on dwell time, distance from the bus stop to the stop line, traffic demand, and cycle length. In addition, analytical results suggest that at an arterial level, the combined effect on bus delay savings can be the over-additive effect with suitable signal offsets. These results are confirmed by a micro-simulation case study. Combined effects on arterial and side-street traffic delays are also discussed.