Modeling analysis method and system based on social perception data

Abstract

The invention discloses a modeling analysis method and system based on social perception data, and the system comprises a perception data obtaining module, an impact factor modeling module, and an explanatory analysis output module. The perception data obtaining module is used for collecting and obtaining related multipath original data for a traffic road section, and carrying out the primary preprocessing; the influence factor modeling module is used for establishing a relation model of called environmental influence factors and pedestrian road section traffic accident data, the explanatory analysis output module is used for explaining and analyzing predictive variables and influence factors in the relation model, and the perception data acquisition module is electrically connected with the influence factor modeling module. The influence factor modeling module is electrically connected with the explanatory analysis output module, the incidence relation between influence factors and pedestrian traffic accidents is established through social perception data, variable prediction and explanatory analysis output of the influence factors are carried out, and the method has the advantage that environment and pedestrian traffic accident analysis is carried out through the perception data.

Description

technical field [0001] The invention relates to the technical field of perception data analysis and utilization, in particular to a modeling analysis method and system based on social perception data. Background technique [0002] Urban traffic safety has always been a concern of people. As the most vulnerable group of all road users, pedestrians are often seriously injured in traffic accidents. The environment is one of the key factors affecting the occurrence of pedestrian traffic accidents. Said that "environment" mainly includes road built environment, traffic flow characteristics, community environment, natural environment conditions, etc. In a large number of studies on traffic safety, it is found that it is difficult to require "people" to actively change bad traffic habits, but it can be By improving the traffic environment to guide and regulate the behavior of travelers, so as to reduce the incidence of traffic accidents, although many studies have focused on the im...

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Problems solved by technology

[0002] Urban traffic safety has always been a concern of people. As the most vulnerable group of all road users, pedestrians are often seriously injured in traffic accidents. The environment is one of the key factors affecting the occurrence of pedestrian traffic accidents. It is said that the "environment" mainly includes the road built environment, traffic flow characteristics, community environment, natural environment conditions, etc. It is found in a large number of researches on traffic safety that it is difficult to ask "people" to actively change bad traffic behavior habits, but it can Guide and regulate the behavior of travelers by improving the traffic environment, thereby reducing the incidence of traffic accidents. Although there have been many studies focusing on the impact of various environmental factors on pedestrian traffic accidents, most of the studies have still extensively described environmental factors. Relying on static survey data at one time and one place

[0003] Most of the existing research only focuses on intersections, and the data acquisition method is relatively single, which is not conducive to obtaining a wide range of environmental factors. Traditional research only focuses on traffic lights, pedestrian islands, zebra crossings and other road facilities that are easy to investigate, and environmental factors such as building features that are difficult to obtain Rarely involved, the traditional static survey data has weak spatial-temporal continuity, which is not conducive to describing the dynamic changes of environmental factors. For example, the traffic flow data obtained based on the traffic travel questionnaire is difficult to describe the characteristics of road traffic flow changes in different seasons, different weather, and different times , so it is difficult to further explore the dynamic changes of the impact of the environment on pedestrian traffic accidents. Therefore, it is necessary to design a modeling analysis method and system based on social perception data for the analysis of environment and pedestrian traffic accidents using sensory data

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