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针对轨道交通技术中的长期运行的安全性问题,本文提出了一种基于智能交通系统(ITS)的交叉轨道免碰撞事故预测技术。在ITS中,采用信息和通信技术采集并处理交通数据,然后传输给相应的终端和控制中心;采用有限距离通讯传输运行数据,将通信范围内的所有车辆描述为一个节点,所有节点构成一个通讯簇;整个簇由同一个坐标系描述,采用航行推测法计算车辆在系统中的位置,同时定义预警区域和危险极限距离等参数,综合处理车间通讯接收的数据。采用上述算法设计了ITS Avoid Collision Sys仿真平台,并给出了仿真结果,研究表明该技术切实可行,有很好的应用前景。
In view of long-term operation safety in rail transit technology, this paper proposes a cross-track collision avoidance prediction technology based on Intelligent Transportation System (ITS). In ITS, ICT is used to collect and process traffic data and transmit it to corresponding terminals and control centers. The data is transmitted by limited distance communication, all vehicles in the communication range are described as one node, all nodes constitute a communication Cluster; the whole cluster is described by the same coordinate system, and the position of the vehicle in the system is calculated by the navigation estimation method. At the same time, the parameters such as the warning area and the dangerous limit distance are defined, and the data received by the workshop communication are comprehensively processed. The ITS Avoid Collision Sys simulation platform is designed by the above algorithm, and the simulation results are given. The research shows that the technology is feasible and has good application prospects.