Running condition monitoring method of intelligent vehicle-road system

Abstract

The patent discloses a running condition monitoring method of an intelligent vehicle-road system. The method comprises the steps that an index matrix is established based on dimensions such as intersections, road sections and road nets, and a running condition index set is obtained; aiming at a characteristic that a lot of index parameters exist and dimensions are different, values are normalizedthrough a threshold method; an entropy weight method is used for judging a dispersion degree of each index and calculating a weight occupied by each index; a calculation method of weighting total root-mean-square deviations is used for measuring calculation deviations between the index values and reflect accuracy of measurement; calculation of entropy weight-weighting total root-mean-square deviations is used for combined empowerment of the index set; and the index set is import into a deep reinforcement learning neural network, a gate control structure is used for multi-layer convolution, characteristic values are extracted, the reinforcement leaning network is applied, an optimal index set is obtained through training of a maximized target function, and comprehensive analysis of IVIS running conditions is realized. By the scheme, possibilities in an index absolute set are avoided rationally, and accuracy of the index set is greatly increased.

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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