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Traffic Incident Prediction on Intersections Based on HMM
Author(s): ZHOU Jun, CHENG Lin, ZHOU Ling-yun, CHU Zhao-ming
Pages: 52-
59
Year: 2013
Issue:
6
Journal: Journal of Transportation Systems Engineering and Information Technology
Keyword: intelligent transportation; incident detection; hidden Markov model; intersection; traffic conflict;
Abstract: 交叉口是一个交通事故多发区,除了交叉口设计复杂外,更重要的是交叉口车辆行驶情况比较杂乱,使得交叉口交通冲突的检测难度增加.本文以淮安市淮海南路与解放路交叉口为例,根据车辆运行与相位配时总结在该四相位控制的交叉口具有冲突的两辆车的相对运动情况,在车辆跟踪的基础上对具有冲突的车辆进行运动矢量量化,采用HMM(隐马尔可夫模型)对该交叉口的交通冲突进行分类,并通过实验验证该算法能对正常交通下的车辆运行状态进行冲突分类.通过冲突的检测可以提前预测发生在交叉口处的交通事故(如碰撞、追尾、突然停车等)和危险状态.
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