Expressway microclimate traffic early warning method based on fuzzy neural network

Abstract

The invention discloses an expressway microclimate traffic early warning method based on a fuzzy neural network. The expressway microclimate traffic early warning method comprises the following steps of distributing traffic flow and microclimate monitoring points; defining a traffic controller of the fuzzy neural network; training the traffic controller of the fuzzy neural network; using the optimal traffic controller of the fuzzy neural network to generate traffic safety travelling parameters; and issuing traffic control information. The expressway microclimate traffic early warning method uses the fuzzy neural network and issues vehicle operating limiting-velocity value, distance limiting value and overtaking limitation and lane changing limitation measures through comprehensive detection of meteorological parameters such as precipitation, snow quantity, temperature and visibility along the line of an expressway. The method is used in the expressway to improve travelling safety under severe weather conditions.

Description

technical field [0001] The invention relates to a traffic safety technology, in particular to a fuzzy neural network-based micro-meteorological traffic early warning method for expressways. Background technique [0002] At present, with the increase of expressway mileage, the impact of disastrous weather on expressway traffic safety has become increasingly prominent. In severe weather conditions, it is even more difficult for drivers to obtain warning information in time, resulting in major accidents involving hundreds of cars rear-end. Therefore, highways can only be closed in severe weather conditions. Expressway early warning and intelligent Humanized management has attracted more and more people's attention and attention. [0003] Found through searching papers: Cheng Conglan, Li Xun, Zheng Zuofang, Wang Zaiwen, Liang Xudong. Beijing Road Meteorological Early Warning Index Construction and Preliminary Application, Proceedings of the 27th Annual Conference of the Chinese...

AI Technical Summary

Problems solved by technology

There are three problems: first, the early warning of vehicle driving safety is not based on comprehensive weather monitoring, and the considerations are not comprehensive enough; second, the membership degree of fuzzy reasoning is directly given by experience, which is highly subjective

Third, the impact of road traffic flow conditions is not considered

The above inventions are all designed for the hardware facilities of the expressway early warning system, and do not involve the method of obtaining safe driving parameters and traffic early warning on the basis of data collection.

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