Operation state monitoring method for intelligent vehicle road system

Abstract

The invention discloses an operation state monitoring method for an intelligent vehicle road system. The method comprises the steps of: building an index matrix from the dimensions of an intersection,a road segment and a road network to obtain an operation state index set; aiming at the characteristics of multiple index parameters and different dimensions, adopting a threshold value method to carry out normalization processing on numerical values; determining the dispersion degree of each index by using an entropy weight method, and calculating the weight of the indexes; measuring the calculation deviation between the index values by adopting a weighted total root-mean-square deviation calculation method to reflect the evaluation accuracy; and performing combined weighting on the index set by using entropy weight-weighted total root-mean-square deviation calculation; importing the index set into a deep reinforcement learning neural network, performing multi-layer convolution by usinga gating structure, extracting a feature value, obtaining an optimal index set by using the reinforcement learning network and training a maximized objective function, and performing comprehensive analysis on an IVIS operation condition. Through the scheme, the possibility of absolute concentration of the indexes is reasonably avoided, and the accuracy of the index set is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic control, and in particular relates to a method for monitoring the operating condition of an intelligent vehicle road system. Background technique [0002] With the rapid development of the economy and the improvement of people's living standards, the substantial increase in the number of motor vehicles in my country poses a challenge to the existing road service facilities in cities. Vehicle-road collaborative technology has gradually emerged in recent years and has become a research hotspot in the field of intelligent traffic control technology. . The development of Intelligent Vehicle-Infrastructure System (IVIS) has also achieved phased results, but the existing IVIS operation status monitoring method is mainly proposed for the qualitative analysis of the basic functions of vehicle-infrastructure coordination. The independence of IVIS is poor, and the operation status of IVIS cannot...

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Problems solved by technology

The development of Intelligent Vehicle-Infrastructure System (IVIS) has also achieved phased results, but the existing IVIS operation status monitoring method is mainly proposed for the qualitative analysis of the basic functions of vehicle-infrastructure coordination. The independence of IVIS is poor, and the operation status of IVIS cannot be systematically analyzed when processing traffic big data, which slows down the effective synergy of the intelligent vehicle-road coordination system device-edge-cloud architecture, and makes the uncertain factors affecting driving safety greatly increased, therefore, a comprehensive IVIS monitoring method is needed to monitor the operation status of the existing intelligent transportation system

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