A Classification Method of Interrupted Traffic Flow State on Urban Arterial Roads Combining Macroscopic Traffic Flow and Microscopic Traffic Flow Information

Abstract

The invention discloses a method for classifying the state of blocked traffic flow on an urban trunk road combined with macroscopic traffic flow and microscopic traffic flow information. Invalid data, determine the headway frequency distribution interval; compare the standard deviation of traffic parameters under each statistical interval to determine the best statistical interval; use the K-means method to cluster the speed, select the optimal number of traffic states, and get The speed threshold of each traffic state; based on the headway method, the traffic flow in each state is divided into free flow and car-following states; the coordinate transformation method is used to obtain a clear headway threshold; the present invention can better consider the vehicles in the microscopic traffic flow The interaction between them, as well as the overall characteristics of the traffic flow in the macroscopic traffic flow, while ensuring the overall fit of the traffic flow, is of great significance.

Description

Technical field [0001] The present invention relates to a combination of macro traffic flow and micro traffic flow information of the urban trunk road blocking traffic flow state division method, belongs to the field of urban road traffic planning technology. Background [0002] Traffic flow status is one of the important information for the effective implementation of intelligent transportation, traffic operation status division is the basis for the urban road network to take reasonable traffic control and management measures, to alleviate the road traffic operation pressure, improve the road network operation efficiency is of great significance. The existing traffic state division methods use a single type of traffic parameter, and only macro or micro parameters are considered. The method based on micro traffic flow theory focuses on the physical significance between individual vehicles, but ignores the physical significance of traffic flow as a whole, and the clustering metho...

AI Technical Summary

Problems solved by technology

The types of traffic parameters used in the existing traffic state division methods are single, and only macro parameters or micro parameters are considered

The method based on micro-traffic flow theory focuses on the physical meaning between individual vehicles, but ignores the overall physical meaning of traffic flow. The clustering method based on macro-mathematical statistics pays attention to the overall fitting effect of traffic flow, but cannot explain the traffic flow. physical meaning

The existing traffic state classification methods mostly classify non-blocking traffic flow such as expressways and expressways, and there are relatively few studies on blocking traffic flow on urban roads.

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