Method for evaluating traffic situation of urban road network based on passing data

Abstract

The invention provides a method for evaluating traffic situation of an urban road network based on passing data, and the method comprises the following steps of taking the degree of freedom of drivingas representation, firstly obtaining the passing data of road junctions within the surveyed area from the video structured database, and processing the passing data into format data by combining theequipment point table; filtering and cleaning all the data of the entire road network; obtaining the real-time travel speed of a single valid vehicle on each road segment by using the license plate matching, geographic location information and equipment point table of the passing data; obtaining the free flow speed of each road segment further through statistical analysis, and obtaining the degreeof freedom of driving by taking the set time period as an interval; finally calculating the real-time degree of freedom of driving of the road segments, areas and road network by combining the weightcalculation of each road segment, and evaluating the traffic situation of the urban road network. The method provided by the invention has the advantages of small calculation amount, higher calculation efficiency, more accurate state assessment and the like, and can provide accurate and reliable technical support for traffic demand analysis, traffic management and traffic policy introduction.

Description

technical field [0001] The invention relates to the field of urban road network traffic operation situation evaluation, in particular to an urban road network traffic operation situation evaluation method based on passing vehicle data. Background technique [0002] The root cause of urban traffic congestion is the imbalance between traffic supply and demand, and the traffic demand far exceeds the supply capacity of the road network. The number of motor vehicles in the urban areas of many modern cities continues to grow, and they are more closely connected with other urban areas and suburbs. With the increasing traffic demand, the imbalance between supply and demand is widespread, which is very likely to lead to urban traffic congestion. The macro traffic status of urban roads is the focus of road traffic management. When the traffic status changes, various traffic parameter data usually have a specific trend. Index calculation, analyzing the macro state of the road, quickly...

AI Technical Summary

Problems solved by technology

This method has problems such as low sampling rate, large data error, and complex data processing.

Moreover, vehicles using GPS devices are usually operating vehicles, including taxis and online car-hailing vehicles. The operating range and speed of vehicles cannot replace all vehicles on the entire road network, so the traffic status obtained is often one-sided.

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