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基于实测数据的路段可靠性近似算法研究

A Study of the Approximation Algorithms of Road Segment Reliability Based on Measured Data
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摘要 利用北京市快速路与主干路的流量与车速实测数据,分析交通流量的变化规律,拟合流量-速度关系;分别采用车速和流量计算可靠度与饱和度,得到欠饱和与超饱和状态下可靠度与饱和度之间的一一对应关系,从而建立可靠度与饱和度之间的关系模型;最后利用实测数据对该模型进行了验证,结果表明快速路最大误差为0.088 5,主干路最大误差为0.092 3. The existing reliability evaluation methods have not been well exercised because of the localization of algorithm Firstly,using the actual flow and velocity data of expressways and main roads in Beijing,a normal distribution of traffic flow was observed through the analysis of the traffic flow changes,the relationship between flow and velocity was imitated by using statistical data to draw the flow-speed scatter.Then,the function relationship model of the reliability and the saturation was established after determining the corresponding relationship between the reliability and the saturation within a certain scope of flow fluctuations.Finally the model was validated by using the survey data.The results showed that the maximum error of expressways was 0.0885,and the maximum error of arterial roads was 0.0923.
出处 《武汉理工大学学报(交通科学与工程版)》 2013年第4期699-702,共4页 Journal of Wuhan University of Technology(Transportation Science & Engineering)
基金 国家973计划项目资助(批准号:2012CB723303)
关键词 实测数据 统计分析 流量-速度关系 可靠性 近似算法 measured data statistical analysis flow-velocity relationship reliability approximation algorithms
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