A mixed Bayesian network for two-dimensional decision modeling of departure time and mode choice

The modeling of travel decision making has been a popular topic in transportation planning. Previous studies focused on random-utility discrete choice models and machine learning methods. This paper proposes a new modeling approach that utilizes a mixed Bayesian network (BN) for travel decision inference. The authors use a predetermined BN structure and calculate priori and posterior probability distributions of the decision alternatives based on the observed explanatory variables. As a “utility-free” decision inference method, the BN model releases the linear structure in the utility function but assumes the traffic level of service variables follow multivariate Gaussian distribution conditional on the choice variable. A real-world case study is conducted by using the regional travel survey data for a two-dimensional decision modeling of both departure time choice and travel mode choice. The results indicate that a two-dimensional mixed BN provides better accuracy than decision tree models and nested logit models. In addition, one can derive continuous elasticity with respect to each continuous explanatory variable for sensitivity analysis. This new approach addresses a research gap in probabilistic travel decision making modeling as well as two-dimensional travel decision modeling.     

A Pareto-improving hybrid rationing and pricing policy with multiclass network equilibria

This paper extends the work on Pareto-improving hybrid rationing and pricing policy for general road networks by considering heterogeneous users with different values of time. Mathematical programming models are proposed to find a multiclass Pareto-improving pure road space rationing scheme (MPI-PR) and multiclass hybrid rationing and pricing schemes (MHPI and MHPI-S). A numerical example with a multimodal network is provided for comparing both the efficiency and equity of the three proposed policies. We discover that MHPI-S can achieve the largest reduction in total system delay, MHPI can induce the least spatial inequity and MHPI-S is a progressive policy which is appealing to policy makers. Furthermore, numerical results reveal that different classes of users react differently to the same hybrid policies and multiclass Pareto-improving hybrid schemes yield less delay reduction when compared to their single-class counterparts.     

工频交流电用作磁性处理主电源初步研究

在初步分析了铁磁性试件的涡流磁场特征的基础上,对基于工频交流电的磁性处理主电源的可行性进行了初步的理论分析,接着分别以工频交流电源和脉冲电源为主电源对厚钢板和厚艇模分别进行了磁性处理。实验结果表明,两种制式的主电源无论是对厚钢板还是对厚艇模的磁性处理效果均相当,而采用工频交流电源作为磁性处理主电源时,在一次磁性处理作业中有所需电流幅值小、通电时间短、消耗能量少等特点,初步验证了基于工频交流电的磁性处理主电源的可行性。     

隧道照明节能控制系统研究

综合考虑交通量、环境亮度、行车速度、地理环境等因素,基于隧道照明设计与控制的"全局优化"理念,采用"多模式、多等级、智能化、个性化"的控制策略,开发了能够根据公路隧道内外亮度、照度、车流量、车流特点等环境变换因素,自动进行反馈调整隧道内部照明的智能照明控制系统。估算比对同一隧道在使用节能智能控制系统前后年总能耗可知,与原有控制方案相比,节能智能控制系统综合节电30%。     

基于CATIA二次开发的水下平台静水力计算

水下平台静力计算包含初稳性计算、潜浮稳性计算、大倾角稳性计算、重量重心统计等,传统潜艇、潜器等水下平台的静力计算具有计算过程繁琐、耗时长、效率低、数据不易更新等问题,导致设计人员大量重复性劳动。本文通过对CATIA软件进行二次开发,在水下平台三维建模基础上,编制静水力和重量重心计算程序,可直接计算、获取静水力要素并实现重量重心的自动统计,达到计算的自动化、程序化和数据的及时更新,提升设计手段,对潜艇、潜器等水下平台设计中控制浮态、稳态具有重要作用,工程应用价值较高。     

半透空沉箱式防波堤的消波性能试验研究

提出一种新型防波堤——半透空沉箱式防波堤。在玻璃水槽中进行系列水工模型试验,量测在不同波高、周期波浪作用下,半透空沉箱防波堤前后的波浪特征参数,分析半透空沉箱防波堤对不同特征波浪的反射率,波浪周期与波浪尖锐度之关系。探讨该防波堤结构的消波原理与性能,根据试验分析结果,选出最优的透空率及内置斜坡坡度,试验结论可为开敞式港区码头的防波消波方案设计与规划提供一种新思路。     

高性能排水板在淤泥地基筑堤工程中的应用效果

为验证采用高性能排水板作为淤泥质土径向排水通道的适用性和效果,在连云港徐圩港区设置一段高性能排水板试验段,埋设部分原位观测仪器。通过高性能排水板和普通排水板标段地基固结度和深层水平位移的对比来研究高性能排水板的应用效果。对比结果表明:高性能排水板应用效果良好;同样工期内,高性能排水板地基比普通排水板试验段地基的固结度高,深层水平位移小。     

光收发模块激光二极管接口电路的优化

在高速光收发模块中,驱动激光二极管的接口电路是模块性能参数实现的关键环节.为此,本文根据半导体激光器的特性,介绍一款交流耦合接口电路,可以在光通信模块进行初测时,通过微调元器件,使接口电路设计达到最优化.     

辽宁省东部山区公路边沟设计降雨重现期的确定

本文分析了现行公路排水规范在设计降雨重现期方面规定的不足之处,结合辽宁省东部山区的实际降雨资料,经过计算和分析,得出了符合辽宁省东部山区公路自身特点的设计降雨重现期.     

等温淬火热处理自动生产线的研制

按生产奥贝球铁的工艺要求，应用先进的机电一体化技术，设计制造等温淬火热处理自动生产线。该自动线采用PLC及组态系统进行控制，组态控制系统能直观地显示热处理线的动作执行情况。经调试达到设计要求。