Emergency vehicle guidance method in vehicle-road cooperation environment

Abstract

The invention discloses an emergency vehicle guidance method in a vehicle-road cooperation environment, and the method comprises the steps: S1, delineating an emergency vehicle path search space in aroad network, and constructing a dynamic traffic road network; S2, acquiring an emergency vehicle priority pass request; S3, determining a path planning alternative scheme set; S4, constructing a double-layer planning model, wherein the upper layer is optimization of emergency lane layout positions and emergency vehicle optimal paths, a multi-objective optimization model is adopted, and the lowerlayer is road network multi-user traffic balance flow distribution so as to achieve network balance; S5, solving the model by using a genetic algorithm, solving an upper-layer model of the double-layer emergency path planning model by adopting a genetic algorithm, and solving a lower-layer model by embedding an FW algorithm into the model; S6, generating an optimal scheme for optimizing the combination of the emergency lane and the path planning. The method has the advantages of simple principle, wide applicability, good practicability and the like.

Description

technical field [0001] The invention mainly relates to the technical field of intelligent transportation, in particular to an emergency vehicle induction method in a vehicle-road collaborative environment. Background technique [0002] Due to the serious problem of urban traffic congestion, the lack of awareness of avoidance of social vehicles and the lack of emergency lanes, emergency vehicles usually drive behind social vehicles and cannot reach the accident point at the first time. Therefore, it is necessary to take a series of measures to induce emergency vehicles to drive and improve traffic efficiency. [0003] At present, with the rise of electronic maps such as Baidu and AutoNavi, electronic maps have the characteristics of fast, convenient, and accurate positioning in dynamic vehicle navigation, finding target buildings and parking lots, etc. Its high-precision positioning is helpful for the induction of emergency vehicles. However, for using Baidu and Gaode map to...

AI Technical Summary

Problems solved by technology

Considering the two aspects of intersection signal priority control and path guidance, a path guidance strategy for emergency vehicles is established, which reflects the signal priority of emergency vehicles at intersections and improves the rescue efficiency of emergency vehicles, but this emergency vehicle preempts signal priority The right behavior will have a great impact on social vehicles, and it is necessary to pay attention to the dynamic traffic allocation of various vehicles

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