摘要
现代有轨电车作为一种新型公共交通工具,因半独立路权的运营方式使其与其他社会车辆相撞的事故近年来频频发生,有轨电车防撞系统成为保障现代有轨电车安全运营的重要设备。在分析比较传统防撞系统的方式方法后,根据现代有轨电车实际运营环境特征,结合卫星导航与无线射频识别技术,提出一种基于扩展卡尔曼滤波和目标跟踪算法的低成本组合定位雷达防撞系统。测试结果表明,该防撞系统在结合组合定位模块数据后可有效判断列车当前行驶的危险区域范围,降低单一雷达防撞系统的误报警率,及时发出报警信息,提高防撞系统的准确性和稳定性,更好的保障有轨电车运行安全。
As a new type of public transport vehicle, modern tram is frequently involved in the collision with other social vehicles due to its semi-independent road rights. Therefore, tram anti-collision system has become an important means to ensure safe operation. After analyzing and comparing the methods of traditional anti-collision system, this paper proposes a low-cost combined positioning radar collision avoidance system based on extended Kalman filtering and target tracking algorithm according to the characteristics of the modern tram operating environment and combined with satellite navigation and radio frequency identification technology. The test results show that the collision avoidance system can effectively judge the current danger range of the train, reduce false alarm rate of the single radar collision avoidance system, send out alarm information in time, improve the accuracy and stability of the collision avoidance system, and better guarantee the safety of tram operation.
作者
王萌
WANG Meng(China Academy of Railway Sciences,Beijing 100081,China)
出处
《铁道标准设计》
北大核心
2020年第5期189-193,共5页
Railway Standard Design
基金
中国铁道科学研究院通号所科技研究计划课题(ATH16H122)
中国铁路总公司科技研究计划重点课题(2016X001-A)。
关键词
现代有轨电车
组合定位系统
雷达防撞系统
扩展卡尔曼滤波
目标跟踪算法
modern tram
combined positioning system
radar collision avoidance system
extended Kalman filter
target tracking algorithm
