Highway Congestion Situation Prediction Method Considering Congestion Superposition Effect

Abstract

An embodiment of the present invention provides a road congestion situation prediction method considering the congestion superposition effect, including: based on traffic survey data, traffic flow data, geographic information data and road static attribute information, establishing road frequent congestion characteristics and a characteristic model, The demand-reducing congestion dissipation model and the event-releasing congestion dissipation model; considering the impact of traffic accidents and special events, a superposition model of frequent congestion and special event congestion spread is established to calculate the congestion spread speed, congestion spread boundary and congestion duration; according to the design Determine the congestion of various regular and occasional congestion superposition effects, establish a superposition model of regular congestion and special event congestion dissipation, calculate the congestion dissipation form and congestion dissipation speed, and realize the prediction of highway congestion situation. The present invention can predict road congestion situation parameters in a specific traffic congestion mode, obtain a targeted scientific and feasible control scheme, and facilitate the rapid formulation of an accurate adjustment scheme by the traffic management department.

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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