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交通灯论文外文翻译

时间:2012-12-02 15:03来源:毕业设计论文网 作者:坤哥毕业设计 点击: 购买指南 在线支付
毕业设计名称:交通灯论文外文翻译 适用行业:交通外文 文件格式:word 交通灯论文外文翻译 时代是一个自动化时代nowadaystraffic光等很多industeyequipment齐头并进电脑控制。thereforea良好的交通lightcontrols系统给道路等方面crowdedcontrolling规则给予

毕业设计名称:交通灯论文外文翻译
适用行业:交通外文
文件格式:word

交通灯论文外文翻译

时代是一个自动化时代nowadaystraffic光等很多industeyequipment齐头并进电脑控制。thereforea良好的交通lightcontrols系统给道路等方面crowdedcontrolling规则给予技术改进。随着大规模集成电路和计算机artpromptness developas以及人工智能的广在控制领域techniqueappliesintelligence设备有了很大的发展主流,现代科学技术的发展方向。

本文的目的是有introduccda智能交通灯系统的功能。智能交通灯控制系统的会得以实现:交叉进行监督控制的四个主要交通路口有一些市区areaevery固定值班periodcharges中心能够改变它的时期和视路时被crowdedthe机车breakingrules规定过境可以采取的照片immediatelyabstracts和vehicleshop标志。世界范围内的一个以微电子技术、计算机技术和通信是一个guide'scentering它和它的工业informationrevolution方兴未艾。buthowcomputer艺术应用更有效的结合并有aneffect带来它作用的发挥与现实是最热门的话题也scientificcommunityis计算机应用中空前活跃的领域。

本书适用主体主要是从单片机的实现intellectualizedadministration的十字路口的交通lightuse操作控制车辆trafficregularity。运输研究的目标,优化运输人员和货物流动。由于数量不断增加和道路使用者提供的资源有限,目前的infras-tructuresare智能交通控制将成为一个非常重要的问题,在未来。howeversome限制使用的智能交通控制。avoidingtraffic阻塞例如也被认为是对双方都有利的环境和经济butimproved可能alsolead交通需求的增加莱文森2003。有几种交通仿真。在我们的研究,我们专注onmicroscopicmodels模型的行为的个别车辆,从而可以simulatedynam-ics组车辆。研究表明,这种模式产生realisticbehaviornagel和其中1992鲸和其中2001。

小汽车在城市交通的经验可以长时间旅行由于低效的交通灯con-trol.optimal交通灯控制,使用先进的传感器和智能optimizationalgorithmsmight因此是有益的。优化交通灯开关increasesroad及交通流量,可以防止交通堵塞。交通灯控制是一个复杂的系统问题和一些智能算法如模糊逻辑evo-lutionary算法andreinforcement学习理论已经被用在试图解决它。在本文中wedescribe模型为基础的多智能体强化学习算法的交通信号灯控制。在我们的方法强化学习顿和巴托1998 kaelbling等人。

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交通灯论文外文原文

The times is a automation times nowadaystraffic light waits for much the industeyequipment to go hand in hand with the computer under the control of.Thereforea good traffic lightcontrols systemwill give road aspect such as being crowdedcontrolling against rules to give atechnical improvement.With the fact that the large-scale integrated circuit and the computer artpromptness developas well as artificial intelligence broad in the field of control techniqueappliesintelligence equipment has had very big developmentthe main current being that modernscience and technology develops direction.

The main body of a book is designed having introduccda intelligence traffic light systematically.The function being intelligence traffic light navar’s turnto be able to come true has:The crossing carries out supervisory control on four main traffic ofsome downtown areaEvery crossing has the fixed duty periodcharges centrefor being able tochange it’s period and in depending on a road when being crowdedThe motro vehicle breakingrules and regulations to the crossing is able to take a photo immediatelyabstracts and the vehicleshop sign.Within world range one uses the microelectronics technologythe computer and thetechnology communicating by letter are a guide’scentering on IT and IT industry informationrevolution is in the ascendant.Buthowcomputer art applies more effective union and there is aneffect’s brought it’s effect into play with reality is the most popular topic of scientificcommunityis also that computer applications is hit by the unparalleled active field nowadays.

Themain body of a book is applied up mainly from slicing machine’s only realizing intellectualizedadministration of crossroads traffic lightuse operation in controlling the vehicular trafficregularity. Transportation research has the goal to optimize transportation flow of people and goods.Asthe number of road users constantly increases and resources provided by current infras-tructuresare limited intelligent control of traffic will become a very important issue in thefuture. Howeversome limitations to the usage of intelligent trac control exist. Avoidingtraffic jams for example isthought to be beneficial to both environment and economy butimproved traffic-flow may alsolead to an increase in demand Levinson 2003. There are several models for traffic simulation. In our research we focus onmicroscopicmodels that model the behavior of individual vehicles and thereby can simulatedynam-ics of groups of vehicles. Research has shown that such models yield realisticbehaviorNagel and Schreckenberg 1992 Wahle and Schreckenberg 2001.

Cars in urban traffic can experience long travel times due to inefficient traffic light con-trol.Optimal control of traffic lights using sophisticated sensors and intelligent optimizationalgorithmsmight therefore bevery beneficial. Optimization of traffic light switching increasesroad capacityand traffic flow and can prevent trac congestions. Traffic light control is acomplex optimizationproblem and several intelligent algorithms such as fuzzy logic evo-lutionary algorithms andreinforcement learning RL have already been used in attemptsto solve it. In this paper wedescribe a model-based multi-agent reinforcement learningalgorithm for controlling traffic lights. In our approach reinforcement learning Sutton and Barto 1998 Kaelbling et al.

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