Traffic congestion situation analysis system

Abstract

The invention discloses a traffic congestion situation analysis system. The traffic congestion situation analysis system includes the following components of: a data acquisition module which is used for acquiring and storing traffic information data in real time; a first analysis module which obtains the traffic information data acquired by the data acquisition module and selects corresponding evaluation indexes according to whether the data are deficient, and calculates real-time evaluation values based on real-time traffic information data, and compares the real-time evaluation values with corresponding evaluation threshold values so as to analyze traffic congestion situations in real time; a second analysis module which obtains all traffic information data which are stored in a set period from the data acquisition module, and establishes a Gauss mixture distribution model of all the traffic information data, and solves estimation values of related parameters of each sub Gauss distribution model, and analyzes traffic flow congestion states corresponding to each sub Gauss distribution model according to the estimation values. According to the traffic congestion situation analysis system of the invention, traffic information data which are acquired in a real-time manner and in a non-real-time manner are analyzed, and therefore, the traffic congestion situation analysis system is advantageous in few analysis variables, low cost and greater practicability.

Description

technical field [0001] The invention relates to the field of traffic state prediction, in particular to a traffic congestion analysis system. Background technique [0002] With the rapid development of the economy, the number of vehicles in our country is extremely inflated. Under the condition of no corresponding expansion of the road area, the serious traffic congestion has become one of the biggest problems in all urban management. Urban traffic congestion has increasingly become an important factor hindering urban development. [0003] At present, the commonly used traffic congestion evaluation methods can be divided into two categories: micro-evaluation methods and macro-evaluation methods. Among them, macro evaluation methods include: fuzzy synthesis method, analytic hierarchy process, cluster analysis method, principal component analysis method, etc.; micro evaluation methods include: direct method and indirect method. The direct method is to divide the corresponding...

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Problems solved by technology

[0004] However, the micro-evaluation methods mostly focus on the short-term judgment, prediction, control, and induction of traffic flow, which only provide a theoretical basis for the study of traffic congestion at the micro level, and most of the research methods focus on the basic traffic map and the three-phase analysis. Relevant theories and research perspectives are not comprehensive enough

For the macro-evaluation method, its research focuses on the degree, intensity, duration, time and space of traffic congestion, which is an overall, non-real-time macro-evaluation. The evaluation variables selected by the model have many types, large quantities, and high costs, and because of the high correlation among the evaluation variables, it is difficult to completely eliminate the negative impact of these problems in the established model, and it is difficult to guarantee the effectiveness and practicality of the application. sex

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