Safety risk degree evaluation grading and dynamic early warning method for intelligent heavy-load expressway

Abstract

The invention relates to a safety risk degree assessment grading and dynamic early warning method for an intelligent heavy-load expressway. The method comprises the following steps: 1) constructing an overall element framework for risk assessment of the intelligent heavy-load expressway; 2) according to historical data, obtaining risk influence coefficients of each dynamic and static element from two aspects of probability and severity; 3) according to the overall element framework and the element risk influence coefficient of the risk assessment of the intelligent heavy-load expressway, determining the operation safety risk level of the intelligent heavy-load expressway by adopting a risk degree calculation model and a grading method; and 4) according to the actually measured data, realizing risk dynamic early warning through an early warning platform. Compared with the prior art, the method can comprehensively, clearly, conveniently, reasonably and standardly evaluate the operation safety risk of the intelligent heavy-load expressway, can realize risk dynamic display and early warning according to the change of road traffic dynamic elements, and has the advantages of innovativeness, scientificity, practicability and the like.

Description

technical field [0001] The invention relates to the technical field of highway traffic safety assessment, in particular to a safety risk assessment classification and dynamic early warning method for an intelligent heavy-duty expressway. Background technique [0002] Self-driving cars (smart cars) are the commanding heights of science and technology that countries around the world are vying to seize. The United States, European countries, Japan and South Korea have all formulated corresponding policies for the development of the self-driving or smart car industry. For example, in January 2020, the United States released a The 4.0 plan is aimed at ensuring the technological leadership of the United States in the field of autonomous driving. In addition to formulating relevant standards or guidelines at the national level, Japan has also formulated relevant traffic laws to regulate the behavior of self-driving vehicles. In September 2019, China clearly proposed to strengthen ...

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Problems solved by technology

[0004] In this context, in order to realize the risk controllability of road testing and demonstration applications in the scenario of intelligent heavy-duty expressways, and to provide suggestions for the selection of expressway scenarios and the formulation of intelligent vehicle policies, it is urgent to form a complete set of solutions for intelligent heavy-duty expressways. Dynamic assessment and early warning methods of safety risks in highway scenarios, but at present, domestic and foreign research in this area is still relatively lacking

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