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Research on the Measure Method of Traffic Safety States on the Road Tunnel

机译：道路隧道交通安全国家测量方法研究

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摘要

First, according to the characters of tunnel traffic flow, we adopted the amount of traffic, average vehicle speed, occupancy rate and other indicators as the identification indicators of the traffic flow to apply the fuzzy inference method to determine the fuzzy rules and membership functions of three factors. Then, according to the traits of road tunnel, we further determined the membership function of static factors of the traffic safety. Finally, according to the Fuzhou tunnel related parameters, we used of AHP and fuzzy evaluation method to detect the state of traffic safety and used of BP neural network algorithm to improve the detection accuracy. The experimental results show that the proposed detection method has better objectivity and accuracy.
机译：首先，根据隧道流量的特点，我们采用了交通量，平均车速，占用率和其他指标作为交通流量的识别指标，以应用模糊推理方法来确定模糊规则和隶属函数三个因素。然后，根据道路隧道的特征，我们进一步确定了交通安全静态因素的隶属函数。最后，根据福州隧道相关参数，我们使用AHP和模糊评估方法检测交通安全的状态，采用BP神经网络算法来提高检测精度。实验结果表明，该检测方法具有更好的客观性和准确性。

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