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The service level of a road is an indicator which measures the traffic flow operating condition and service quality experienced by drivers and passengers. In the present study, the service level classification and evaluation of Beijing urban expressway, China were established on the basis of three parameters of traffic flow. As a result of the interference of the external environment, some abnormal data existed in the raw data and so the multivariate quality control method and the time-related method were used initially to screen and recover them. Next the service level classification was set up on the basis of the Delphi method and the semi-supervised clustering method, and finally a BP neural network was used to evaluate the service level. This study of the service level of Beijing urban expressway, China provides a scientific basis for traffic management and plays an important role in the traffic decision-making.

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