A rapid traffic selection method for vehicle-mounted intelligent navigation under unexpected traffic accidents

Abstract

The invention belongs to the technical field of travel route selection of intelligent navigation, and provides a rapid traffic selection method for vehicle-mounted intelligent navigation in a sudden traffic accident. The method comprises the steps of defining a shared knowledge base of the intelligent navigation, wherein the shared knowledge base comprises urban road network information and road network traffic information; determining four directions to respectively predict and analyze the traffic flow of road networks at the periphery of the sudden accident, wherein the four directions are from east to west, from west to east, from south to north and from north to south, the analysis of the traffic accident influence range, the sharing ratio analysis of the traffic flow of different roadsections and the prediction of the traffic flow of the road sections within the influence range are included in each direction, and a travel route decision is finally obtained in combination with theanalysis results of the four directions; and finally, obtaining more accurate travel time estimation of each path, wherein the travel route with the shortest time is a decision scheme for the travelpath.

Description

technical field [0001] The invention belongs to the technical field of travel route selection for intelligent navigation, and in particular relates to a rapid traffic selection method for vehicle-mounted intelligent navigation under sudden traffic accidents. Background technique [0002] Sudden traffic accidents are frequent events in urban road traffic. Sudden traffic accidents will lead to a reduction in the traffic capacity of local road sections, which will lead to the gradual entry of surrounding traffic distribution into a new stable state. There are many studies on urban traffic management measures and travel choices in response to sudden traffic accidents, but most of them do not take into account the information characteristics of travelers under sudden traffic accidents, and do not give the information that travelers can only rely on when traveling. How navigation implements rapid optimization and decision-making methods for travel routes. It is an urgent problem ...

AI Technical Summary

Problems solved by technology

There are many studies on urban traffic management measures and travel choices in response to sudden traffic accidents, but most of the studies do not take into account the information characteristics of travelers under sudden traffic accidents, and do not give the information that travelers can only rely on when traveling. How navigation realizes the rapid optimization and decision-making method of travel routes

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