基于Dijkstra-PD-ACO算法的大城市公交线路优化与评价方法研究

城市公交线路的布设受到诸多影响因素的作用,单纯的追求线路单一指标的"最优"在实际公交线路优化时往往难以取得满意的效果。首先针对传统公交线路优化算法在求解线路优化问题中存在的不足,基于蚁群优化算法的寻优特性,结合Dijkstra算法在局部路径寻优中的优点,提出了Dijkstra蚁群混合优化算法。其次对于线路优化所得到的可行备选方案集,基于分层聚类主成分分析评价法进行优化效能评价。最后以合肥市一环内公交线路优化为实例进行验证。结果表明, 本文提出的方法在兼顾客流密度最大、出行路径最短的同时给出了有效公交线路备选方案,优化结果也符合合肥市的实际情况。同时,该方法对我国大中城市公交线网优化问题的研究具有一定的借鉴意义。     

Efficient Wald Tests for Fractional Unit Roots

In this article we introduce efficient Wald tests for testing the null hypothesis of the unit root against the alternative of the fractional unit root. In a local alternative framework, the proposed tests are locally asymptotically equivalent to the optimal Robinson Lagrange multiplier tests. Our results contrast with the tests for fractional unit roots, introduced by Dolado, Gonzalo, and Mayoral, which are inefficient. In the presence of short range serial correlation, we propose a simple and efficient two‐step test that avoids the estimation of a nonlinear regression model. In addition, the first‐order asymptotic properties of the proposed tests are not affected by the preestimation of short or long memory parameters.     

试论上古汉语连动式中的连词问题

上古汉语连词用于连动式是十分常见的现象。从《尚书》到《左传》到《史记》,连词数量呈逐渐增加的趋势,但连动式中连词的使用频率则经历了从少到多再到少的过程。连词在上古连动式有语法、语用和语义三个方面的功用,其使用频率的变化则存在连动式语法化等方面的原因。     

仪器串行组网通信方案的研究与实现

提出了一种新的适用于工业生产和自动检测系统的仪器组网方案。着重讨论了环网的通信协议及实现方法。由于该方案组网方便,适应性强,因而具有一定的实用价值。     

PC－E500机串行通讯扩展接口的设计

阐述了利用ＰＣ－Ｅ５００机进行数据采集和对其串行接口进行扩展的方法，介绍了系统的接口电路原理图和通讯软件的编制，根据上述原理和方法所进行的设计已得到实际应用，具有参考意义和实用价值     

基于财政补贴的拥挤定价下公交收费策略研究

交通拥挤是目前世界上多数大中城市普遍面临的问题,公交优先和拥挤定价是针时该问题的有效管理措施.巨额的公交财政补贴,往往是我国城市推行公交优先政策的障碍.本文采用交通行为科学的理论和方法,从系统科学的角度将财政补贴、拥挤定价和公交收费等问题结合起来,设计了基于财政补贴的拥挤定价下的公交收费策略,解释了如何通过拥挤定价和公交收费等手段实现缓解交通压力减少公交财政补贴的管理目标.本文以广州市为典型,进行了相应的策略分析.     

多路多功能数据采集系统设计

介绍了一种以单片机为微处理器的数据采集系统,系统中新型串行口A/D转换器及复位电路的使用,使它的体积减小,抗干扰性能提高.此外,键盘、显示器及通信接口的配置,使它既可作为一个独立的数据采集系统,又可作为面向对象的数据采集器,与PC机配合使用.     

Asymptotic Distribution Theory for Nonparametric Entropy Measures of Serial Dependence

Entropy is a classical statistical concept with appealing properties. Establishing asymptotic distribution theory for smoothed nonparametric entropy measures of dependence has so far proved challenging. In this paper, we develop an asymptotic theory for a class of kernel‐based smoothed nonparametric entropy measures of serial dependence in a time‐series context. We use this theory to derive the limiting distribution of Granger and Lin's (1994) normalized entropy measure of serial dependence, which was previously not available in the literature. We also apply our theory to construct a new entropy‐based test for serial dependence, providing an alternative to Robinson's (1991) approach. To obtain accurate inferences, we propose and justify a consistent smoothed bootstrap procedure. The naive bootstrap is not consistent for our test. Our test is useful in, for example, testing the random walk hypothesis, evaluating density forecasts, and identifying important lags of a time series. It is asymptotically locally more powerful than Robinson's (1991) test, as is confirmed in our simulation. An application to the daily S&P 500 stock price index illustrates our approach.