Method and system for automatically generating urban road traffic guidance strategy

Abstract

The invention relates to a method and a system for automatically generating an urban road traffic guidance strategy. According to the method and the system, by applying the intelligent traffic theory, the spatial autocorrelation theory, the fuzzy mathematic theory, an statistical method and the computer technology, real-time traffic flow data and historical data are researched and processed, and therefore, under the condition that a traffic incident occurs in a road traffic network, the traffic guidance strategy which can be released in time through VMS (variable message signs) on a road is automatically generated. According to the method and the system, by taking historical artificial guidance information and the real-time traffic flow data as input data, on the basis that historical guidance empirical laws are analyzed and real-time traffic flow features are excavated, a final guidance release strategy is determined by applying a traffic state spatial inequality analysis method provided by the invention. A proposal and strategy scheme can be provided for the quick release of the guidance information of an urban traffic management department when certain traffic incidents occur, such as road accidents, congestion, severe weather, management and control, and the like.

Description

technical field [0001] The invention relates to an urban road traffic system, in particular to a method and system for automatically generating an urban road traffic guidance strategy. Background technique [0002] With the in-depth development of my country's urbanization process, the urban traffic problem has become a severe challenge faced by many big cities. In the past, the development model that focused on improving the supply capacity of the transportation system is increasingly limited by the city's limited space-time resources. Therefore, many cities regard the sustainable development strategy based on intelligent transportation technology and traffic demand management as a way to alleviate urban traffic congestion, improve traffic service levels and The main direction to reduce transportation energy consumption and emissions. In order to ensure the effect of traffic guidance on the road traffic network, on the basis of analyzing various historical information and ...

AI Technical Summary

Problems solved by technology

With the continuous improvement of intelligent transportation system infrastructure, further deepening the guidance and management of the traffic system faces the following three challenges: (1) The formulation and implementation of traffic guidance strategies in the past are mostly based on the subjective knowledge and work experience of traffic managers, Lacking the support of scientific theoretical methods and advanced analysis techniques, it is not yet possible to formulate an induction strategy that considers the complexity of the temporal and spatial evolution of road traffic flow from the perspective of system science; (2) This release strategy based on personal experience cannot fully reflect the spatial and temporal evolution of road traffic flow. The feedback impact of real-time evolution of features on the release strategy is difficult to meet the needs of dynamic formulation and revision of induction strategies, and there is a lack of methods and systems that effectively integrate historical induction experience with real-time dynamic traffic characteristics; (3) currently widely used simulation-based and dynamic The generation method and system of the traffic allocation guidance strategy, due to the massive real-time data processing and the simulation of the real environment, there are many assumptions and preconditions, and the real-time requirements are not considered in practice, resulting in the effect of the published traffic guidance strategy in practical applications. limitations

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