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基于无线传感器网络的上海市智能公交系统的算法设计研究
Study on Algorithms for Wireless Sensor Network-Based Shanghai Advanced Public Transportation System
【作者】 张丽;
【导师】 吴承荣;
【作者基本信息】 复旦大学 , 计算机应用技术, 2008, 硕士
【摘要】 智能交通系统(ITS)是在传统的交通工程基础上发展起来的一种新型交通系统。大力发展ITS的一个关键子系统——智能公交系统(APTS),是改善我国当前交通运行状况的一个切实有效的途径。而无线传感器网络技术作为一种新兴的检测技术,集合了传感技术,无线通信技术和网络技术于一体,具有快速部署、自组织等特性,非常适合用于公交系统中。论文主要以上海市公共交通系统为应用背景,主要围绕ITS系统中的关键子系统APTS(智能公交系统)进行研究,依据上海市交通行业智能交通系统总体构想的设计目标,提出了一种基于无线传感器网络的智能公交系统,并论述了其三个组成模块的功能。然后针对智能公交系统的两个方面的基本功能:为乘客提供所需求的公交路线当前的状况和为公交公司提供整个公交系统当前的运行情况和具体车辆目前的位置、状况。综合考虑到设计和成本的问题,重点提出了WSN-APTS系统下的距离加权算法、定位算法和到站时间预测算法,并在有关算法的描述中讨论了网内的通信过程和信息数据包的基本格式。
【Abstract】 Intelligent Transportation System (ITS) is a kind of the modern transport system developed from the traditional transport technology. It is an effective way to develop Advanced Public Transportation System (APTS), which is one of the important sub models of the ITS, to improve the quality of our country transportation. Wireless sensor network (WSN) is a novel technology made by the convergence of sensor technology, micro electro mechanism technology, wireless telecommunication technology and network technology. It is suitable to transportation scenarios for the characters of rapidly deployed and self organized.According to the whole design aim of Shanghai Advanced Public Traffic System, this thesis provides a kind of APTS based on WSN technology and discusses the function of three basic models. After analyzing the two basic service of the APTS: providing the current bus status for the passenger and providing the bus position for the monitor center, the paper focuses on the algorithms design of WSN-APTS, including distance amending algorithm, localization algorithm and predicting for the bus arriving time algorithm. In the meanwhile of algorithms illustration, it also discusses the telecommunication process of the WSN as well as some forms of the data package.
【Key words】 APTS; wireless sensor network; WSN-APTS; localization; predicting bus arriving time;
- 【网络出版投稿人】 复旦大学 【网络出版年期】2009年 03期
- 【分类号】U495
- 【被引频次】13
- 【下载频次】582