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交通冲突量的BP神经网络预测方法
Traffic Conflicts Forecasting Method Based on BP Neural Network
【摘要】 交通冲突预测是进行交通事故预防和制定安全改善措施的有效手段,节约观测时间和人力。针对BP网络的缺点,提出了改进的快速BP算法,建立了交通冲突量的BP神经网络预测方法,并应用该方法对具体的交叉口交通冲突量的预测实例进行了研究,实践验证了该方法的有效性。
【Abstract】 Traffic conflicts forecasting is an effective measure for traffic accident prevention and making improved safety measures,which can save time and manpower.To deal with the defects of BP neural network,this paper presents an improved algorithm.The method is established for traffic conflicts forecasting based on BP neural network.It gives an example to forecast traffic conflicts at intersections.The experiment validates the effectiveness of the method.
【关键词】 交通冲突;
BP神经网络;
改进算法;
预测;
【Key words】 traffic conflict; BP neural network; improved algorithm; forecasting;
【Key words】 traffic conflict; BP neural network; improved algorithm; forecasting;
- 【文献出处】 交通与计算机 ,Computer and Communications , 编辑部邮箱 ,2006年06期
- 【分类号】U491.14
- 【被引频次】18
- 【下载频次】299