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基于人工智能LANDMARC的车辆定位技术的研究

Research on Vehicle Positioning Technology Based on Artificial Intelligence LANDMARC
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摘要 随着城市化进程的加速,城市交通问题日益严重。车辆数量的不断增加使得交通拥堵、事故频发等问题愈发突出。为了解决这些问题,需要一种有效的车辆监控和管理系统。经过比较几种常见的定位方法,提出一种基于射频识别(RFID)的车辆定位系统,所提系统采用地标定位算法(LANDMARC)使得车辆定位更加准确。实验结果表明,所提出的系统能够有效地提高车辆的行驶安全性和效率,降低事故发生率。与传统的定位系统相比,所提出的系统具有更准确的定位信息与更新及时等特点。 With the acceleration of urbanization,urban transportation problems have become increasingly serious.The continuous increase in the number of vehicles has made issues such as traffic congestion and frequent accidents even more prominent.In order to solve these problems,an effective vehicle monitoring and management system is needed.After comparing several common positioning methods,a vehicle positioning system based on radio frequency identification(RFID)is proposed.The proposed system adopts the landmark-based radio frequency identification location system algorithm(LANDMARC)to make vehicle positioning more accurate.The experimental results show that the proposed system can effectively improve the driving safety and reduce the accident rate.Compared with traditional positioning systems,the proposed system has more accurate information for positioning and more timely updates.
作者 梁计锋 LIANG Jifeng(School of Information Engineering,Xi’an Fanyi University,Xi’an 710105,China)
机构地区 西安翻译学院
出处 《微型电脑应用》 2026年第1期77-81,共5页 Microcomputer Applications
基金 西安翻译学院2024年校级科研项目(2024A01)。
关键词 人工智能 云技术 车辆定位 LANDMARC 射频识别 artificial intelligence cloud technology vehicle positioning LANDMARC RFID
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