Road congestion situation prediction method considering congestion superposition effect

Abstract

The embodiment of the invention provides a road congestion situation prediction method considering a congestion superposition effect, and the method comprises the steps: building a road frequent congestion feature and feature model, a demand reduction type congestion dissipation model and an event removal type congestion dissipation model based on traffic survey data, traffic flow data, geographicinformation data and road static attribute information; considering the influence of traffic accidents and special events, and establishing a superposition model of frequent congestion and special event congestion spreading to calculate the congestion spreading speed, the congestion spreading boundary and the congestion duration; and establishing a superposition model of frequent congestion and special event congestion dissipation according to congestion with various set frequent and accidental congestion superposition effects, and calculating a congestion dissipation form and a congestion dissipation speed, thereby realizing highway congestion situation prediction. According to the invention, road congestion situation parameters can be predicted in a specific traffic congestion mode, anda targeted, scientific and feasible management and control scheme is obtained, so that a traffic management department can quickly make an accurate adjustment scheme.

Description

technical field [0001] The invention relates to the technical field of traffic planning and management, in particular to a road congestion situation prediction method considering the congestion superposition effect. Background technique [0002] With the rapid growth of the number of motor vehicles, residents' demand for travel continues to increase, and the problem of urban traffic congestion has also worsened. Nowadays, the rapid development of expressways and the initial formation of expressway network scale have brought convenience and convenience to residents' travel. But the phenomenon of expressway congestion that occurs from time to time also greatly discounts the superiority of expressway "quick and smooth". For traffic managers, expressway congestion increases operational management costs, increases the difficulty of coordination and control, and lowers the overall operating efficiency of the expressway network. Therefore, formulating a reasonable traffic control...

AI Technical Summary

Problems solved by technology

In the case of superimposed regular congestion and special event congestion, the supply and demand of the transportation system may unilaterally or both simultaneously produce sudden changes, resulting in an unbalanced state of the transportation system for a long period of time, which reduces the traffic system's capacity. Operational efficiency, which increases the total cost of travel

At present, due to the lack of comprehensive utilization of expressway traffic data and insufficient decision-making support, the existing methods and business systems of the traffic management department are inaccurate in predicting the parameters of the congestion spread and dissipation situation that are superimposed on frequent congestion and special event congestion, and emergency control plans are insufficient. Science, often leads to long-distance, long-term, large-scale congestion problems

It cannot guarantee the operating efficiency of the expressway, nor can it satisfy the refined and diversified traffic management mode

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