英语翻译随着科技的高速发展,人民生活水平的日益提高,人们出行的日益频繁和日益繁重的交通状况之间的矛盾逐渐激烈.因此,准确有效的为人们提供导航服务的要求也应时而生.本项目分析

英语翻译随着科技的高速发展,人民生活水平的日益提高,人们出行的日益频繁和日益繁重的交通状况之间的矛盾逐渐激烈.因此,准确有效的为人们提供导航服务的要求也应时而生.本项目分析
英语翻译
随着科技的高速发展,人民生活水平的日益提高,人们出行的日益频繁和日益繁重的交通状况之间的矛盾逐渐激烈.因此,准确有效的为人们提供导航服务的要求也应时而生.本项目分析了现有导航系统的现况,结合当前的时代要求,明确研究的主要内容.首先简单的介绍了hadoop云平台的特点和采用此平台的优越性,其次介绍了如何搭建起服务平台,项目重点在于Dijkstra算法的改造,如何将其适合在hadoop上运行,使其并行化；再次在改造算法的过程中还添加了车辆等路况的模拟,分析了车辆模拟行驶,使之更贴近实际情况；最后对本项目进行了简单的分析和总结,并提出了一些改进方案.

英语翻译随着科技的高速发展,人民生活水平的日益提高,人们出行的日益频繁和日益繁重的交通状况之间的矛盾逐渐激烈.因此,准确有效的为人们提供导航服务的要求也应时而生.本项目分析
With the rapid development of technology,people's living standards rising,people travel more and more frequent and increasingly heavy traffic conditions the contradiction between the increasingly fierce.Therefore,accurate and effective for people to provide navigation service requirements should also be timely.The project analyzes the current status of existing navigation systems,combined with the current requirements of the times,clearly the main content.First,a brief introduction to the features and hadoop cloud platform advantages of using this platform,and secondly describes how to build up service platform,the project focuses on the transformation of Dijkstra's algorithm,how it fit in hadoop run it parallel; Again in the process of the transformation algorithm also add other road vehicle simulation,simulation analysis of vehicle travel,making it closer to the actual situation; Finally,this project was briefly analyzed and summarized,and made some improvements.
With the rapid development of technology,the increase of people's living standard,the contradiction between people travel is increasingly frequent and increasingly heavy traffic gradually fierce.Therefore,accurate and effective navigation service for people's requirementsalso should sometimes hygiene.This project analyzed the status of existing navigation system,combined with the requirements of the times,the main content of the research.We first introduce thecharacteristics of the Hadoop cloud platform and the superiority of this platform,then describes how to build a service platform,the projectfocuses on the improvement of the Dijkstra algorithm,how it can besuitable for running on Hadoop,so that the parallel; again addssimulated vehicle traffic in the process of transformation algorithm in the analysis,the simulated vehicle driving,and make it more close to the actual situation; at the end of this project are briefly analyzed and summarized,and put forward some improvement scheme.

With the high development of technology, people's living standard is increasing day and day. the contradiction between the frequency of going out and heavy traffic is becoming intensive. Therefore, pr...

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With the high development of technology, people's living standard is increasing day and day. the contradiction between the frequency of going out and heavy traffic is becoming intensive. Therefore, providing navigation service with accuracy and validity has appeared. This project analized the navigation system in hand, combining modern time requirement, confirming the main content. Firstly it briefly introduced the feature of hadoop cloud platform and the superiority of applying this platform. Secondly, the project explained how to build the service platform and the key point is the transform of Dijkstra algorithm, moreover, it introduced how to operate it on hadoop and make it parallelization. Thirdly, it added the simulation of vehicles state in the process of the reforming algorithm and it analized the vehicles driving simulator, making it closely to physical truth. Finally, it briefly analized and summarized on this project and put forward some improving ways.

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As science and technology develop so much, people's living standard grows a lot today. Contradiction between the increasing frequency of people's need of going out and the growing busyness of traffic...

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As science and technology develop so much, people's living standard grows a lot today. Contradiction between the increasing frequency of people's need of going out and the growing busyness of traffic conditions is becoming intenser and intenser nowadays. The requirment for more effective navigation service appears, thus. This project makes fully analysis on the condition of existing omnirange and clarrifys the primary corverage of our research, considering requirements of the times on this system. To begin with, it simply introduced the features and advancement of the hadoop platform, then comes with the methods of building such service platforms. The transformation of Dijkstra algorithm is the unode of this project, including how to make it fit to act on the hadoop platform and make it parallel; A second imitation of the traffic condition is included into the transformation to help analysis the vehicles' running process,which makes it more practical. At last, a summary and conclusion is giben to show some improving plans.

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