Jam cause analysis method and device, computer equipment and memory medium

Abstract

The invention relates to a jam cause analysis method and device, computer equipment and a memory medium. The method comprises the steps of obtaining traffic flow data of a road; preprocessing the traffic flow data; establishing a jam evaluation index system according to the preprocessed traffic flow data; identifying frequent jam road sections and import jam road sections; for the frequent jam road sections and the import jam road sections, establishing a jam feature description matrix; analyzing the jam feature description matrix through adoption of a cause analysis model; obtaining an attribute classified decision tree according to an analysis result; and feeding back the attribute classified decision tree. According to the method, the device, the computer equipment and the media medium,main factors resulting in jam are discovered accurately, analysis efficiency is improved, and loss rustling from analysis inaccuracy is reduced.

Description

technical field [0001] The present invention relates to a traffic congestion analysis method, more specifically, a congestion cause analysis method, device, computer equipment and storage medium. Background technique [0002] A convenient, efficient and smooth traffic system is an important guarantee for the sustainable development of a city. With the acceleration of the urbanization process, the scale of the city is getting bigger and bigger, and the traffic demand has increased significantly, which has put great pressure on the existing urban traffic. Traffic problems have become an "epidemic" that plagues the development of many cities in my country, and a "bottleneck" that restricts urban economic and social development. The reasons for the imbalance between supply and demand in congestion are very complicated. The problem is caused by the influence of external factors of the system such as weak traffic awareness, etc., and the decision to control congestion is made when...

AI Technical Summary

Problems solved by technology

[0003] First, there is a lack of objective understanding and evaluation of traffic congestion, and the formation, development, and operation of urban traffic flow are still unclear. The urban road network is a highly open and complex system with dynamics such as random fluctuations and periodic regularity. Characteristics, congestion control is based on the understanding of the formation mechanism and evolution law of congestion, if the dynamic and quantitative evaluation of the road network operation level cannot be made, the generation law of congestion cannot be accurately grasped;

[0004] The second is the lack of a scientific grasp of the law of traffic congestion, and the inability to effectively control traffic congestion;

[0005] The third is to ignore the objective analysis of the causes of traffic congestion, and the focus of congestion control is not clear

Traffic congestion is accompanied by urban economic and social development. Cities at different stages will inevitably have different measures to control traffic congestion in a specific period. Although major cities in China are actively trying to control traffic Accurately grasp the development stage of the city, lack of objective analysis of the causes of congestion, and fail to effectively grasp the focus and priority of traffic congestion control at the current stage. Many planning and management measures simply imitate the construction of roads and rail transit in other cities etc., resulting in a large deviation between the congestion control and the expected effect

[0006] To sum up, the current decision-making for congestion control still exists. Due to inaccurate analysis, the decision-making is not effective, thus causing unnecessary losses.

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