Method and system thereof for estimating traffic congestion diffusion path

Abstract

The invention discloses a method for estimating a traffic congestion diffusion path. The method comprises the following steps: acquiring road network data, and constructing a road section communication relation matrix according to the road network data; acquiring historical data, and obtaining the historical average speed of each path segment corresponding to each time period and the historical maximum speed of a vehicle on each road segment through road matching; acquiring real-time data, carrying out data complementation according to the data complementation through road matching, and obtaining the real-time average speed of the vehicle on each road segment; according to the real-time average speed and the historical maximum speed of the vehicle, obtaining a road condition distribution matrix, and obtaining a congestion state matrix according to the road condition distribution matrix and a road segment communication relation matrix; according to a congestion propagation determinationmethod and a congestion state matrix, obtaining a local propagation matrix; and calculating a global propagation path according to a local propagation path. According to the method for estimating thetraffic congestion diffusion path, the problem of data sparsity can be solved. Meanwhile, the traffic condition is comprehensively understood according to the constructed global congestion propagation path.

Description

technical field [0001] The invention relates to the traffic field, in particular to a method and system for inferring traffic jam diffusion paths. Background technique [0002] With the rapid development of China's social economy and the continuous advancement of urbanization, the number of motor vehicles, especially private cars, has shown a blowout growth. However, the relatively slow development of traffic and road facilities has gradually failed to meet people's growing travel needs, and the problem of traffic congestion has become more serious. Traffic congestion not only seriously hinders the pace of urbanization, but also seriously hinders economic development and brings environmental pollution and other problems. In recent years, various solutions to traffic congestion have emerged in an endless stream, but their effects have been minimal. The main reason is that the existing solutions are based on where the congestion is, where it is managed, when it is congested, ...

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Problems solved by technology

However, in the actual road network, there is a very strong temporal-spatial correlation between roads, and the simple macro-traffic flow model is not suitable for the analysis of the traffic congestion diffusion path on the traffic road network in the whole city.

In addition, due to the large number of urban roads, it is difficult to collect the traffic status of all roads at each moment based on the existing data

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