无线传感器网络在智能交通系统中的应用

2013 6th International Conference on Emerging Trends in Engineering and Technology Pub Date : 2013-12-16 DOI:10.1109/ICETET.2013.22

D. Mishra, G. Asutkar, S. Dorle

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引用次数: 9

摘要

智能交通系统(ITS)包括交通监控、停车辅助、事故避免、无人驾驶等多种功能。人们普遍建议将无线传感器网络(WSN)技术的最新进展用于ITS应用。无线传感器网络具有灵活性、易于安装和维护、低成本和高精度等特点，有望取代现有的车辆检测和分类技术。这种方法是对已经开发的算法的即兴创作和改进。采用检测状态机(DSM)和k近邻算法对车辆进行检测和分类。该方法的准确率为100%，实验证明该算法具有较高的精度和鲁棒性，提高了车辆监控的性能。

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An Application of Wireless Sensor Network in Intelligent Transportation System

Intelligent Transportation System (ITS) encompasses many functions such as traffic surveillance, parking assist, accident avoidance, driverless vehicle etc. It is widely proposed to use recent advances in Wireless Sensor Network (WSN) technologies for ITS applications. Flexibility, ease in installation and maintenance, low cost and high accuracy of WSN make it a prospective candidate for replacing contemporary technologies in use for vehicle detection and classification. This approach is an improvisation and advancement of already developed algorithms. Detection state machine (DSM) and K-Nearest Neighbour algorithm is used to detect and classify vehicle. This approach has the accuracy of 100% and it has been verified that the algorithm enhances the performance of vehicle surveillance with high precision and robustness.

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来源期刊

2013 6th International Conference on Emerging Trends in Engineering and Technology

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