防冲突算法在智能交通中的应用仿真

Anti-Collision Algorithm in Application of Intelligent Traffic Simulation

研究提高交通智能管理问题,针对在智能交通通信系统中,通信数据在传递过程中流量和方向的随机性很大,数据不通过信道,直接到达传输节点,信道内不会留下数据的传递特征。传统的交通通信调度方法多是利用通信信道留下某些特征进行防冲突调度,一旦多数据同时竞争同一资源节点而不留下反馈特征,将造成防冲突调度失败。为解决上述问题,提出了一种贝叶斯决策防冲突算法,在传统的调度模型中,加入贝叶斯代价函数进行标签估计,根据标签的数据计算最优帧长,从而实现了无接触RFID数据载体防冲突读取。实验结果表明,改进算法有效提高了智能交通系统中无接触RFID数据载体防冲突调试的准确率。

This paper researched the improvment of intelligent traffic management. A Bayesian decision based anti - collision algorithm was put forward. The Bayesian price function was added into the traditional scheduling mod- el to carry out the label estimation, and the optimal frame size was calculated according to the labelled data, so as to realize the RFID data anti -collision access without contacting the carrier. Experimental results show that the im- proved algorithm effectively improves the accuracy of no contact RFID data carrier anti - collision debug in intelligent transportation system.