Road Flat Condition Detection Algorithm Based on Group Intelligence Perception

Chen Yang, Xing Jianchuan, Zhou Chunwen
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Abstract

Road traffic is the lifeblood of national economic development. Although all kinds of transportation modes are developing very rapidly, road traffic is still irreplaceable. Because of China’s vast territory, there are too many areas that trains, planes, ships and other vehicles cannot reach, and then the road traffic becomes the only means of transportation. So it is very important to maintain the road health in real time. However, the current way to obtain road health conditions mainly depends on the relevant departments to spend a lot of material resources and the use of professional measuring instruments to measure, there is a problem of not timely access to road conditions. In this paper, we combine the same group intelligence perception technology, use the sensor carried by the intelligent terminal to collect the vehicle driving data, and design the algorithm to process the collected data and then get the result of the road flatness.
基于群体智能感知的路况检测算法
道路交通是国民经济发展的命脉。虽然各种交通方式发展非常迅速,但道路交通仍然是不可替代的。由于中国幅员辽阔,有太多的地方是火车、飞机、轮船等交通工具无法到达的,于是道路交通就成了唯一的交通工具。因此,实时维护道路健康是非常重要的。但是,目前道路卫生状况的获取方式主要依靠有关部门花费大量的物力和使用专业的测量仪器进行测量,存在不能及时获取道路卫生状况的问题。本文结合同组智能感知技术,利用智能终端携带的传感器采集车辆行驶数据,并设计算法对采集到的数据进行处理,得到道路平整度结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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