分布式转向灯同步策略的研究

车身控制系统是整车控制的重要组成部分,采用分布式总线车身控制系统,各个模块具备独立的时钟,如何保证时钟同步成为分布式总线系统需要面临的问题。本文针对某车型分布式转向灯同步策略的研究,通过对分布式转向灯控制原理、控制逻辑的具体实现和分布式转向灯同步策略的具体实现方式进行深入研究及分析,最终保证分布式转向灯同步问题得以解决。     

智慧高速公路设计案例分析

本文以某智慧高速的设计案例为依托,首先对国内外智慧高速发展和应用现状进行归纳总结,分析认为电动化、智能化的新型运载工具,信息化和功能专业化的基础设施,开放、共享、协同的管理与服务将是未来高速公路三大发展趋势。通过对高速公路使用者和管理者的需求针对性地精准分析,构建面向高速公路使用者和管理者的创新型应用服务。结合新技术的发展趋势,以服务需求为导向,建设"三网合一"智慧高速基础设施和智慧云控平台构成、数据流为驱动的、"开放、包容、创新"的智慧高速公路。基于案例分析的智慧高速规划设计全过程,对于国内智慧高速的整体设计和建设规划具有重要参考价值,探索开辟全新的高速公路智能化建设方向和思路。     

A latent class accelerated hazard model of social activity duration

Over the past decade, activity scheduling processes have gained increasing attention in the field of transportation research. However, still little is known about the scheduling of social activities even though these activities account for a large and growing portion of trips. This paper contributes to this knowledge. We analyze how the duration of social activities is influenced by social activity characteristics and characteristics of the relationship between the respondent and the contacted person(s). To that end, a latent class accelerated hazard model is estimated, based on social interaction diary data that was collected in the Netherlands in 2008. Chi-square tests and analyses of variance are used to test for significant relations between the latent classes and personal and household characteristics. Findings suggest that the social activity characteristics and the characteristics of the relationship between the socializing persons are highly significant in explaining social activity duration. This shows that social activities should not be considered as a homogenous set of activities and it underlines the importance of including the social context in travel-behavior models. Moreover, the results indicate that there is a substantial amount of latent heterogeneity across the population. Four latent classes are identified, showing different social activity durations, and different effects for both categories of explanatory variables. Latent class membership can be explained by household composition, socio-economic status (education, income and work hours), car ownership and the number of interactions in 2 days.     

The value of options for time charterparty extension: an artificial neural networks (ANN) approach

The most frequently associated options in the physical shipping market are options to extend the charter period on time charters and additional shipment options on contracts of affreightment. The value of freight options, in practice, is estimated mostly by referring to forward curves. An option on freight has different properties from its financial counterparts, and the straightforward adoption of theoretical models does not produce promising results. In this paper, extension options, which have the property of options on futures, were transformed into regular European options before the application of the Black-Scholes model (BSM). The efficient market hypothesis, which justifies the parity of the performance of a long-term charter to that of repetitive short-term charters, worked as the basis for the transformation. The option values determined by the BSM were compared with actual realized values. Additionally, the artificial neural networks (ANN) was employed to derive the option values. This study is meaningful as the first-time application of both the closed-form solution and the ANN to the valuation of physical freight options. The research results can contribute to the quality of chartering decisions. The results could also be used in quantifying credit risk, as extension options tend to be granted to charterers with more creditability.     

接触网检测车振动补偿研究

针对接触检测车实际工况,分析了检测车车体振动的动力学特性,建立了基于运动规律的数学模型,论述了训练样本得出检测车拉出值振动补偿函数的原理和方法。     

用人工神经网络预测沥青路面材料的回弹模量

将人工神经网络应用于沥青路面材料的回弹模量的预测 ,提出了一种有效的预测方法 ,并构造了预测回弹模量的神经网络模型 .预测结果表明 ,该模型具有较高的预测精度 ,为预测路面材料的回弹模量等力学指标提供了一种新的方法     

基于多智能体的城市交通流控制原型系统

对中国目前的城市交通流控制系统存在的问题进行了分析。针对原系统结构中的不足提出了构建基于多智能体的智能城市交通流控制系统的思路，并研究了该系统的基本框架和实现途径及方法，同时探讨了该系统中各个交通智能体的结构以及它们的协调合作关系，为基于多智能体的智能城市交通流控制系统的最终实现提供了理论指导和方法依据。     

动态管理模式下路侧停车泊位占有率预测方法

城市停车已逐步实现信息化和动态化管理,本文对动态管理模式下大范围路侧泊位占有率预测方法进行研究.在收集美国旧金山492万条停车交易数据的基础上,利用可同时提取数据空间关联和时序趋势特征的卷积长短时记忆神经网络(Convolutional LSTM Network,ConvLSTM),分别构建考虑停车费率和时限动态变化的有政策模型,和没有动态管理信息输入的无政策模型.结果显示,有政策模型的训练效率和预测精度会显著提升.在政策平稳阶段,两种模型均能够有效预测泊位占有率;在政策发生变化时段,无政策模型的预测误差出现激增,但有政策模型的预测误差依然保持平稳,表明本文提出的方法能够很好地应对动态管理模式下停车需求的变化.     

分布式光伏发电系统的设计与性能分析

以117.6 kWp分布式光伏发电项目为例,介绍了其电气系统设计和防雷设计。利用该电站的运行数据,分析并计算了运行期间电气系统效率、光电转换效率、光伏逆变器效率以及PV方阵转换效率等电气性能参数,并根据现有太阳能资源条件计算了该电站系统经济性指标,为在中南地区投资建设光伏电站提供较好的参考。     

兰渝铁路兰州至广元段精密工程控制测量技术体系及特点

兰渝铁路精密工程控制测量技术体系的建立贯穿了我国铁路精密工程控制测量标准从建立到逐步完善的全过程。为给类似铁路项目测量方案的设计与实施提供参考和借鉴,结合兰渝铁路兰州至广元段建立的精密工程控制网技术体系,从全线统一的"三网合一"的测量技术体系、基于CGCS2000的平面坐标基准、工程独立坐标系、符合工程实际的水准基点平差方案、地震对测量控制网造成影响的评估、长大隧道洞内CPⅡ控制网建网及其分段测量方法等方面进行研究和论述。研究结论及实践经验对于丰富和完善铁路精密工程控制测量标准具有一定意义。