A method for emergency rescue path planning of urban road traffic accidents

Abstract

The invention discloses a method for planning an emergency rescue route for urban road traffic accidents, comprising the steps of: 1) generating a topological structure diagram of an urban road network, acquiring traffic flow data and rescue start and end point information; 2) analyzing the characteristics of emergency rescue for urban road traffic accidents , select the appropriate evaluation index for the rescue path planning method; 3) Construct the basic framework of timing co-evolution path planning, and systematically explain the optimization principle of timing co-evolution path planning; 4) Design a suitable solution algorithm in combination with the operating characteristics of urban road vehicles; 5 ) Clarify the calculation method of the uncertainty factors in the actual traffic environment of the urban road network; 6) Output the rescue path planning results through computer programming. The invention can solve the problem of urban road emergency rescue path planning.

Description

technical field [0001] The invention relates to the technical field of optimality and stability of urban road traffic accident emergency rescue route planning, in particular to a method for urban road traffic accident emergency rescue route planning. Background technique [0002] Emergency rescue is a key means to prevent the further deterioration of urban road traffic accidents and ensure the safety of the injured. According to the report of the World Health Organization, the number of people injured by road traffic accidents in the world is 30 million to 50 million every year, of which the number of injured deaths is about 1.2 million, that is, an average of 3300 people die every day, and the number of casualties will increase by about 65% in the next 20 years. The frequent occurrence of traffic accidents and the sharp increase in the number of injured people make it urgent to further improve the emergency response efficiency in order to control the injuries of the injured...

AI Technical Summary

Problems solved by technology

In real-world applications, the path planning process of the online optimization method has significant time lag, and cannot bypass the upcoming congestion area in advance, which increases the rescue travel time

On the other hand, since the online optimization method cannot predict the dissipation trend of the congested area, it is easy to take a detour decision with a longer travel time, which further increases the rescue travel time

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