智能交通系统中的无线传感器网络和新的传输方式

发布时间：2018-02-26 08:04

本文关键词： 传感器网络无率码智能交通系统 EWF　出处：《北京交通大学》2014年硕士论文　论文类型：学位论文

【摘要】：摘要：在如今社会日益发展的情况下,交通问题已经成为了阻碍社会进一步发展的一大难解之题。每年全世界都因为交通问题承受着巨大的损失。所以发展智能交通系统,改善智能交通系统已经成为当今社会迫在眉睫的一个大课题。智能交通系统中的数据收集、发送方式直接决定着整个系统的性能。现有的网络传感器大多需要铺设大量线路,造价昂贵,维修成本而且在环境恶劣的地方也无法正常使用。现有的数据编码方式很难适应一对多数据广播方式,尤其是在接收端数量巨大的情况下,不是无法保证数据准确,就是需要重传机制。这些数据收集与发送方面的问题已经成为阻碍智能交通系统发展的一大难题,亟待解决。本文引入了新的传感器网络以改善数据收集方式,新的传感器网络使用电池和无线技术具有计算和无线通信能力,其成本低、功能丰富且经过简单的调试就可以适用于旧有的智能交通系统,既可以降低成本,又能提高系统性能。无线传感器可以应用于包括停车场、道路检测在内的多种领域,这在文章中都有涉及。本文还引进了新的算法,使得通过少量传感器收集数据就能较为准确的预测未来某处的交通情况。同时,提出了在没有预置数据时使用OD矩阵预测数据。该方法在改进后还能用于计算传感器的最优位置。本文还引入了基于传感器的交通灯的自适应控制,这相对于传统方法对交通性能有着明显改善。本文引入了新的编码方式以改善数据发送效率。这种新型的无率码有着可以保证数据传输可靠的前提下单向发送这一独特优点。在一对多或者数据连接不稳定的情况下相对于传统的编码方式有着明显的优势。将改善后的无率码EWF应用于智能交通系统中的数据广播非常合适。并且能大幅提高系统数据发送效率。本文首先提出了在智能交通系统中的车辆间网络应用无率码,然后又进一步设想将无率码的一种改进形式EWF应用于智能交通系统的数据发送。通过建模与仿真验证将无率码应用于智能交通系统的可能性,并通过仿真验证EWF编码区分重要数据以及非重要数据的性能。
[Abstract]:Absrtact: with the development of society nowadays, the traffic problem has become a difficult problem that hinders the further development of society. Every year, the whole world suffers huge losses because of the traffic problem. Therefore, the development of intelligent transportation system, Improving the intelligent transportation system (its) has become an urgent problem in our society. The data collection and transmission mode in the intelligent transportation system directly determines the performance of the whole system. Most of the existing network sensors need to lay a large number of lines. Expensive, maintenance costs and can't be used normally in places where the environment is bad. Existing data encoding methods are very difficult to adapt to one-to-many data broadcast, especially in the case of a large number of receiving terminals, is not impossible to ensure the accuracy of the data. These problems in data collection and transmission have become a big problem that hinders the development of its, and need to be solved urgently. In this paper, a new sensor network is introduced to improve data collection. The new sensor network uses battery and wireless technology to provide computing and wireless communication capabilities, and its cost is low. The wireless sensor can be used in many fields, such as parking lot, road detection and so on, and can be used in many fields, such as parking lot, road detection and so on, which can reduce the cost and improve the performance of the system. This is all involved in the article. This paper also introduces a new algorithm, so that the collection of data through a small number of sensors can more accurately predict the traffic situation somewhere in the future. At the same time, The OD matrix is used to predict the data without preset data. The improved method can be used to calculate the optimal position of the sensor. The adaptive control of traffic lights based on the sensor is also introduced in this paper. Compared with the traditional method, the traffic performance is obviously improved. In this paper, a new coding method is introduced to improve the efficiency of data transmission. This new rate-free code has the unique advantage of one-way transmission under the premise of reliable data transmission. The improved rate-free EWF is suitable for data broadcast in its, and can greatly improve the efficiency of data transmission. In this paper, the application of rate-free code in the network of vehicles in intelligent transportation system is proposed. Then it is further envisaged that an improved form of rate-free code, EWF, can be applied to the data transmission of intelligent transportation system, and the possibility of the application of rate-free code in intelligent transportation system is verified by modeling and simulation. The performance of EWF coding to distinguish important data from non-important data is verified by simulation.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：U495

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