Using BDI agents to improve driver modelling in a commuter scenario

The use of multi-agent systems to model and to simulate real systems consisting of intelligent entities capable of autonomously co-operating with each other has emerged as an important field of research. This has been applied to a variety of areas, such as social sciences, engineering, and mathematical and physical theories. In this work, we address the complex task of modelling drivers’ behaviour through the use of agent-based techniques. Contemporary traffic systems have experienced considerable changes in the last few years, and the rapid growth of urban areas has challenged scientific and technical communities. Influencing drivers’ behaviour appears as an alternative to traditional approaches to cope with the potential problem of traffic congestion, such as the physical modification of road infrastructures and the improvement of control systems. It arises as one of the underlying ideas of intelligent transportation systems. In order to offer a good means to evaluate the impact that exogenous information may exert on drivers’ decision making, we propose an extension to an existing microscopic simulation model called Dynamic Route Assignment Combining User Learning and microsimulAtion (DRACULA). In this extension, the traffic domain is viewed as a multi-agent world and drivers are endowed with mental attitudes, which allow rational decisions about route choice and departure time. This work is divided into two main parts. The first part describes the original DRACULA framework and the extension proposed to support our agent-based traffic model. The second part is concerned with the reasoning mechanism of drivers modelled by means of a Beliefs, Desires, and Intentions (BDI) architecture. In this part, we use AgentSpeak(L) to specify commuter scenarios and special emphasis is given to departure time and route choices. This paper contributes in that respect by showing a practical way of representing and assessing drivers’ behaviour and the adequacy of using AgentSpeak(L) as a modelling language, as it provides clear and elegant specifications of BDI agents.     

大气的混沌性及其对航线天气预报影响的研究

叙述大气的混沌性,解释了大气的可预报性问题,说明了两周以上的天气预报不准确的原因。介绍了为解决这一问题,气象学家所提出的集合预报方法,及一些可供保障船舶安全航行所使用的集合预报产品。以此为基础,论述了概率天气预报的科学性和意义,指出了推广使用概率天气预报所面临的问题和困难。最后讨论了大气的混沌性对航线天气预报的影响。指出了目前船舶管理部门和驾驶员最为关心的、对船舶安全威胁最大的热带气旋疑难路径和锋面气旋爆发性发展的预报精度不高这一事实。提出了开发研制能够方便有效地使用概率天气预报产品的计算机软件,与气导航线结合使用,这样方可达到保证航行安全、经济的目的。     

企业定额编制与管理的探索

阐述了企业定额的作用和编制企业定额的具体原则、步骤与方法,以及企业定额管理的内容和方法.     

公路工程建设项目的综合经济评价与决策分析

根据灰色系统理论关联度和层次分析法，分析工程项目建设方案的决策问题。在决策分析过程中，按关联度大小排序，进行方案优选，为决策提供依据，并用实例说明该法的有效性。     

汽车鼓式制动器装配动画的计算机拟实制作

通过确定汽车鼓式制动器装配动画的设计思路和制作步骤，并利用3D Studio MAX软件将该装配动画制作出来，使汽车鼓式制动器的结构细节、功能特点和装配关系展示得淋漓尽致，从而使人们在计算机屏幕上便可详尽了解鼓式制动器的结构状况和工作原理，为计算机虚拟现实 技术在汽车工程领域的广泛应用进行了积极地探索。     

用多目标决策方法优选浮式生产储油油轮定位方案

本文对于给定的ＦＰＳＯ,首先构造了全锚泊系统、全动力定位系统及由其交叉组合而成的多种定位方案。然后按照多目标决策方法,构造了定位方案的评价体系。再分别用三种不同的方法对各方案进行从优到劣的排序,并对排序结果进行了集结,得到了最终的排序结果。     

高速铁路接触网工程概算编制探讨

随着对高速铁路认识的不断加深,作为高速铁路供电系统的主体接触网工程技术不断完善.此文从高速铁路接触网工程特点入手,结合实际工作中编制高速铁路接触网工程概算所遇到的问题,提出解决方法,并就如何客观实际地编制接触网工程概算的有关问题进行探讨.     

基于三角模糊数的铁路客运站选址方案评价方法

针对客运站选址方案评价的多属性决策问题,建立铁路客运站站位与城市规划的协调性等4个定性评价指标和1个定量评价指标.为便于专家对方案进行评价和更加真实地表达专家的评价信息,在专家采用语言变量对定性指标进行评价的基础上,采用三角模糊数将专家给出的定性评价结果和各指标权重值进行最化和规范化,并在集结评价值和权重的基础上得到基于三角模糊数的决策矩阵和权重向量.通过定义2个三角模糊数的距离,将逼进理想解的排序方法(TOPSIS法)引入到模糊决策中,并在建立正理想解和负理想解后,通过计算各个备选方案到正理想解和负理想解的距离确定各方案的综合评价指数,根据综合评价指数对方案进行排序,为决策客运站站位提供科学依据.     

浅谈如何做好建筑施工企业的工程竣工结算

工程竣工结算是施工管理中的最终环节,直接关系到施工企业的经济效益。叙述了做好竣工结算工作的客观条件和基础条件。介绍了竣工结算的主要工作和方法。强调了要收齐竣工结算的相关资料,以为结算编制提供重要依据。     

我国信托立法的困惑与思考

信托立法的思路已定，但对什么是“信托”仍存在困惑。应当明确信托机理，根据已经存在的信托定义进行梳理，结合我国国情进行再认识。