马尔柯夫灰色残差模型在剐构桥控制中的应用

文章结合罗天乐特大桥的马尔柯夫灰色残差模型预测实例,介绍马尔柯夫灰色残差模型在线性控制中的原理、计算及应用过程,并根据实际监控经验提出了建议。罗天乐特大桥的具体监控应用实践表明,马尔柯夫灰色残差模型预测精度高,能较好地应用于大跨连续刚构桥的施工线形控制。     

一种螺旋桨参数化建模方法

对螺旋桨进行优化时,需要建立起优化计算的样本空间,即要实现初始桨的参数化建模。本文基于贝塞尔曲线拟合原理编程实现了螺旋桨的参数化建模,对螺旋桨的径向参数分布分别用一条贝塞尔曲线进行拟合,曲线的控制点通过遗传算法寻优求得。文中以4382桨为例,对其进行参数化建模,讨论了三、四、五、六阶贝塞尔曲线的拟合效果,发现三阶贝塞尔曲线拟合光顺性最好、拟合平均误差可以控制在0.3%以内,而且控制点个数较少,最适合拟合螺旋桨径向参数分布。最后通过调整三次贝塞尔曲线控制点的位置调整了原桨叶的几何形状,得到光顺性较好的新桨叶模型,表明该参数化建模方法合理。     

海员胜任力结构及其评价标准初步研究

对129名海员进行了5项6个心理指标的测试。通过专家咨询法确定海员胜任力检测指标体系的权重系数，构建了海员胜任力特征结构模型与综合评价模型。提出了40岁以下和以上年龄海员的胜任力评价标准。     

台州港临海港区规划波浪潮流泥沙数学模型研究

文章研究了台州港临海港区规划围垦后的有关潮流泥沙问题。首先对该海区的自然条件进行了分析,而后使用二维波浪潮流泥沙数学模型研究手段对台州港规划围垦后的二维潮流场、泥沙场、地形冲淤变化进行了模拟研究。研究结果表明,从周围水沙环境的影响考虑,该港区规划围垦的方案是可行的。     

基于Simulink/Stateflow的汽车ABS混合建模与仿真

汽车防抱死制动系统(ABS)是一种很关键的汽车主动安全技术。本文采用基于有限状态机的系统仿真方法,采用Simulink和Stateflow模块混合建模,对ABS模型中的连续系统和离散系统进行仿真。仿真结果表明,该混合仿真系统能比较真实地反映汽车ABS系统的实际工作过程,显著缩短制动距离,提高安全性。     

Rhinoceros软件在客车造型设计中的应用

介绍造型设计软件Rhinoceros,并以豪华大客车为例,讲述该软件在客车CAS(计算机辅助造型设计)中的应用。     

面向驾驶模拟器的高等级公路三维视景建模与实现

随着汽车驾驶模拟器在道路交通仿真中的广泛应用,驾驶员对视景的逼真度也相应地提出了较高的要求。视景仿真系统作为模拟器的一个子系统,其逼真度和实时的动态显示是影响道路交通仿真的关键因素。文中介绍了高等级公路三维视景的建模过程、实现方法,以及地形的简化技术。设计成果表明,这种方法对于利用驾驶模拟器进行道路交通仿真等方面的研究是可行的。     

Within day rescheduling microsimulation combined with macrosimulated traffic

The concept of rescheduling is essential to activity-based modeling in order to calculate effects of both unexpected incidents and adaptation of individuals to traffic demand management measures. When collaboration between individuals is involved or timetable based public transportation modes are chosen, rescheduling becomes complex. This paper describes a new framework to investigate algorithms for rescheduling at a large scale. The framework allows to explicitly model the information flow between traffic information services and travelers. It combines macroscopic traffic assignment with microscopic simulation of agents adapting their schedules. Perception filtering is introduced to allow for traveler specific interpretation of perceived macroscopic data and for information going unnoticed; perception filters feed person specific short term predictions about the environment required for schedule adaptation. Individuals are assumed to maximize schedule utility. Initial agendas are created by the FEATHERS activity-based schedule generator for mutually independent individuals using an undisturbed loaded transportation network. The new framework allows both actor behavior and external phenomena to influence the transportation network state; individuals interpret the state changes via perception filtering and start adapting their schedules, again affecting the network via updated traffic demand. The first rescheduling mechanism that has been investigated uses marginal utility that monotonically decreases with activity duration and a monotonically converging relaxation algorithm to efficiently determine the new activity timing. The current framework implementation is aimed to support re-timing, re-location and activity re-sequencing; re-routing at the level of the individual however, requires microscopic travel simulation.     

(Unintended) Transport impacts of an energy-environment policy: The case of CNG conversion of vehicles in Dhaka

Motor vehicles are one of the major sources of air pollution in Dhaka, the capital of Bangladesh. The government took various policies to convert the petroleum vehicles on road to run on compressed natural gas (CNG), which allows both air quality improvements and energy security benefits. One of the market friendly policies to encourage the fuel switch was to increase the price differential between CNG and petrol and diesel. This has allowed a wide-scale adoption of CNG as the fuel of choice. However, several years into the policy, there is now a widespread belief among the policymakers that the CNG conversion may have increased car ownership and car travel due to their lower running costs, resulting in more congestion and a reversal of the strategy is on the cards. It is therefore important to test the hypothesis whether CNG conversion had genuinely increased car ownership and car travel in Dhaka city. This paper presents the results of a questionnaire survey and an econometric intervention analysis to understand the impact of CNG conversion on car ownership and car travel in Dhaka. Attention is also given to disentangle the self-selection and price-induced travel effects of CNG conversion. Results show that ownership did not increase, but travel of on-road vehicles increased due to the CNG policy. However, additional congestion costs are still around one half of the health benefits brought about by the policy.     

Privacy protection method for fine-grained urban traffic modeling using mobile sensors

With the ubiquitous nature of mobile sensing technologies, privacy issues are becoming increasingly important, and need to be carefully addressed. Data needs for transportation modeling and privacy protection should be deliberately balanced for different applications. This paper focuses on developing privacy mechanisms that would simultaneously satisfy privacy protection and data needs for fine-grained urban traffic modeling applications using mobile sensors. To accomplish this, a virtual trip lines (VTLs) zone-based system and related filtering approaches are developed. Traffic-knowledge-based adversary models are proposed and tested to evaluate the effectiveness of such a privacy protection system by making privacy attacks. The results show that in addition to ensuring an acceptable level of privacy, the released datasets from the privacy-enhancing system can also be applied to urban traffic modeling with satisfactory results. Albeit application-specific, such a “Privacy-by-Design” approach would hopefully shed some light on other transportation applications using mobile sensors.