Expressway sensing equipment type selection demand and perception coupling method considering multiple factors

The invention discloses an expressway sensing equipment type selection demand and perception coupling method considering multiple factors, and relates to the field of intelligent high-speed sensing equipment layout. According to the model, sensors to be selected are determined based on a traffic sta...

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Hauptverfasser: MOU ZHENHUA, QIN GUIZHI, CHEN NING, CHEN YANYAN, LU YOUFU, E GUANGXUN
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creator MOU ZHENHUA
QIN GUIZHI
CHEN NING
CHEN YANYAN
LU YOUFU
E GUANGXUN
description The invention discloses an expressway sensing equipment type selection demand and perception coupling method considering multiple factors, and relates to the field of intelligent high-speed sensing equipment layout. According to the model, sensors to be selected are determined based on a traffic state information perception set, requirements of each layout node on perception measurement, requirements of an expressway traffic operation management unit on key node precision, requirements of the expressway traffic operation management unit on key node layout modes and the like; according to the expressway traffic operation manager considering other requirements, constraint conditions can be continuously increased to solve the optimal model, the model method can be used for designing the optimal space-time layout of the sensing equipment and the sensing network, the optimal layout scheme of the whole network or a specific requirement road section is realized, the equipment utilization rate is effectively improved
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subjects CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Expressway sensing equipment type selection demand and perception coupling method considering multiple factors
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