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高速公路交通事件清除时间模糊逻辑预测模型
引用本文:童世鑫,丛浩哲,陈雨人.高速公路交通事件清除时间模糊逻辑预测模型[J].重庆交通大学学报(自然科学版),2011,30(1):85-88,146.
作者姓名:童世鑫  丛浩哲  陈雨人
作者单位:同济大学,道路与交通工程教育部重点实验室,上海,201804
摘    要:清除时间是高速公路交通事件持续时间中的一部分,与事件影响范围密切相关.通过对某高速公路事件数据及交警执勤记录进行分析,提出了救援车辆的清除时间新定义,该定义与事件持续时间有更强的相关性.随后采用含自适应算法的TSK模糊逻辑推理方法,通过对基于事件数据的人工神经网络训练,建立了交通事件清除时间的预测模型,并讨论了模型的适...

关 键 词:高速公路交通事件  清除时间  救援车辆  TSK模糊逻辑  人工神经网络

Fuzzy Logic Prediction Model for Clearance Time of Freeway Traffic Incidents
TONG Shi-xin,CONG Hao-zhe,CHEN Yu-ren.Fuzzy Logic Prediction Model for Clearance Time of Freeway Traffic Incidents[J].Journal of Chongqing Jiaotong University,2011,30(1):85-88,146.
Authors:TONG Shi-xin  CONG Hao-zhe  CHEN Yu-ren
Institution:TONG Shi-xin,CONG Hao-zhe,CHEN Yu-ren(Key Laboratory of Road & Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China)
Abstract:As one part of the duration time of freeway traffic incidents,clearance time is closely connected with incident duration and incidence.A new definition of clearance time which has more correlations with incident duration regarding to emergency vehicles is put forward.The prediction model based on TSK fuzzy logic is constructed,according to data training by artificial neural network(ANN).The test results indicate that the proposed model can predict the clearance time of common traffic incidents quite well wh...
Keywords:freeway traffic incidents  clearance time  emergency vehicles  TSK fuzzy logic  artificial neural network  
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