物联网智能交通拥堵判别算法的研究与实现

Congestion identification algorithm research and realization for networking intelligent traffic

针对城市道路交叉口的常发性交通拥堵现象,依据RFID检测系统的特点,提出了一种基于物联网前端信息采集技术的交通流检测方法。并且对城市道路交叉口采集到的交通流量相对增量、车辆的时间占有率相对增量以及地点平均车速等信息进行了对比性分析和统计推导,从理论上论证了交通拥挤产生时的交通流特点,然后以此为基础给出了交通拥挤事件出现时的判别准则,构造出相应的拥挤检测指标及判别算法。最后利用Matlab编程再结合实际交通测量数据验证了算法的正确性。

According to RFID detection system characteristic,a new traffic congestion judging algorithm based on networking front information collecting technology is proposed for urban freeway normal traffic congestion.The paper describes the traffic congestion judging criterion by carrying out contrast analysis and statistical derivations for the city road intersection collected traffic flow,vehicle relative increment of time share and place average speed.Then it demonstrates the traffic flow characteristics when the traffic congestion arises from the viewpoint of theory.The corresponding congestion detection index and classification algorithm is also constructed in this paper.Finally correctness of the algorithm is verified by the use of Matlab programming combined with the actual traffic measurement data.