城市交通区域智能协调控制研究

针对我国城市混合交通状态复杂多变，随机性大，具有分布式交通区域控制等特点，利用多智能体技术和融合技术对其进行研究，提出了基于多智能体技术和融合技术的城市交通区域控制系统框架和智能体的内部结构，并采用博弈再励学习方法进行优化控制和区域协调，实现城市交通控制区域智能协调和全局优化，最后通过仿真分析说明算法的有效性。     

20世纪中国正义问题研究综述

正义学说是西方政治哲学中关于评价社会制度和人的社会行为的基本道德标准的理论。2 0世纪 80年代以来 ,中国学者对当代西方正义理论进行了阐释与廓清 ,梳理了西方思想史上正义理论发展的理论脉络并分析了其特点 ;在此基础上 ,中国学者在指出了西方正义理论存在着严重缺陷后论证了马克思主义的正义观 ,又从多个角度对正义问题进行了探讨 ,分析了国内正义理论研究的特点和存在的问题 ,并对当代中国正义理论建构提出了看法。     

变频器的合理选用

结合理论与实践,全面论述了变频器的合理选择与使用方面的有关问题,包括变频器容量与型式的选择,使用频率与起停时间的设置,以及和其它调速方法的结合.     

弹性停车激励机制下驾车者竞价行为演化机理研究

在获取通勤驾车者个体活动出行轨迹及停车竞价数据的基础上，构建基于生存分析理论的驾车者竞价行为演化模型，解析不同因素对停车竞价行为的影响机理；应用灵敏度分析方法，研究激励方案及职住区位设施供给对竞价持续时长的作用规律.结果表明：弹性停车激励机制使原本为“耐用品”的停车泊位转变为“消耗品”，可以通过竞价激励方式降低驾车者的小汽车依赖性，提高城市停车泊位利用率；在弹性停车激励机制作用下，驾车者的泊位共享积极性不仅受自身社会经济属性影响，还受职住区位特征及竞价激励方案的影响；随着通勤驾车者停车泊位共享积极性的增强，参与停车竞价的次数越多，竞价行为的持续时间越长.     

Mathematical model of steel lazy-wave riser abandonment and recovery in deepwater

To meet the increasing applications of the deepwater steel lazy-wave riser (SLWR), the riser abandonment and recovery (A&R) is a great challenge for SLWR installation and its mechanical analysis is necessary and significant. This paper is focused on the abandonment and recovery process which is of great importance to the installation feasibility and analysis. A comprehensive mechanical model based on the nonlinear large deformation beam theory for simulating the deepwater SLWR is proposed. And a simple and suitable model for analyzing the A&R cable is developed. The presented model with detailed boundary conditions is able to deal with three different A&R methods. Numerical analysis is conducted by the finite difference method to investigate the riser configurations and somev important mechanical parameters of the pipeline and cable which exert influences on the riser's performance and the A&R cable's requirement. Parametric comparison study is conducted to analyze the advantage of different method. The proposed model can help on development of deepwater SLWR A&R design and analysis.     

Applying the Value-Belief-Norm Theory to Marine Contexts: Implications for Encouraging Pro-Environmental Behavior

Encouraging pro-environmental behavior among protected area visitors and other stakeholders has become a priority for marine resource managers. However, there exists a lack of understanding of the human dimensions of resource management regarding the perceptions and attitudes of stakeholders. Using the value-belief-norm theory of environmentalism (VBN) as a framework, the purposes of this investigation were to: 1) test a model of variables that influence stakeholders' intentions to adopt pro-environmental behavior in two marine protected areas (i.e., the Great Barrier Reef Marine Park and the Florida Keys National Marine Sanctuary); and 2) using the relevant literature and information gleaned from the model, suggest techniques that managers can use to encourage pro-environmental intentions. Acceptable goodness-of-fit indices for both of the structural equation models (one for each protected area) provided empirical support for the usefulness of the VBN framework to guide both research in marine contexts and marine protected area management efforts to encourage stakeholders' intentions to engage in pro-environmental behavior. Specific suggestions include increasing stakeholders. knowledge about impacts via environmental education strategies, increasing their awareness of their impacts and their efficacy in mitigating those impacts (e.g., workshops), and developing interpersonal relationships among managers and stakeholders (e.g., implementation intention and follow-up strategies).     

Modeling lane-changing behavior in a connected environment: A game theory approach

Vehicle-to-Vehicle communications provide the opportunity to create an internet of cars through the recent advances in communication technologies, processing power, and sensing technologies. A connected vehicle receives real-time information from surrounding vehicles; such information can improve drivers’ awareness about their surrounding traffic condition and lead to safer and more efficient driving maneuvers. Lane-changing behavior, as one of the most challenging driving maneuvers to understand and to predict, and a major source of congestion and collisions, can benefit from this additional information. This paper presents a lane-changing model based on a game-theoretical approach that endogenously accounts for the flow of information in a connected vehicular environment. A calibration approach based on the method of simulated moments is presented and a simplified version of the proposed framework is calibrated against NGSIM data. The prediction capability of the simplified model is validated. It is concluded the presented framework is capable of predicting lane-changing behavior with limitations that still need to be addressed. Finally, a simulation framework based on the fictitious play is proposed. The simulation results revealed that the presented lane-changing model provides a greater level of realism than a basic gap-acceptance model.     

Active or passive? Sustainable manufacturing in the direct-channel green supply chain: A perspective of two types of green product designs

This paper considers a supply chain in which a manufacturer produces and sells two types of green products in its direct channel under government interventions aiming to improve social welfare. There is a Stackelberg game between the two stakeholders. Our research derives the closed form solutions to the optimal tax, green degree and price for the products, and obtains the strategies for government and manufacturer under different environmental policies. By considering six scenarios, our models obtain the best choice from the comparison between the two cases in which the manufacturer determines its product green degree actively or accepts the green standard set by the government passively. Then, we conduct some sensitivity analyses and explore the scenario in which there is competition between green products and non-green products. The results of this research indicate that the government setting the product green standard and providing the manufacturer with a subsidy is significant.     

基于交通网络数据集的动态路径诱导系统规划与实现探讨

智能交通是当前公认的有效解决交通拥堵、能源消耗及交通污染等突出问题的根本途径,而动态的交通诱导系统则是智能交通的核心研究领域之一,并一直被学术界和企业界所关注。当前已有诸多成果,但能广泛应用于实际交通环境的不多,通过着重探讨基于交通网络数据集下的动态路径诱导系统的规划设计与实现方式,有利于交通动态路径诱导系统的开发应用。     

地铁车站票务设备节能优化研究

为解决城市轨道交通车站售票能力冗余导致城市电力资源及地铁公司运营成本闲置的问题,分析普通车站日常客流分布,综合考虑地铁车站售票设备成本和乘客的时间成本因素,建立地铁车站售票设备开启数量优化模型,同时通过排队论和Lingo软件进行计算,获得最优化的地铁车站售票设备开启数量。以郑州地铁农业南路站的日常客流为例,应用地铁车站售票设备开启数量优化模型,计算得到农业南路站售票设备优化方案,通过优化方案进行节能成果分析证明,该方案可有效节约城市电力资源及地铁公司运营成本。