Research On Pedestrian Crossing Street Violation Communication Based On SIRS Model

In recent years,as people pay more attention to traffic safety and the gradual development of humanized transportation facilities,pedestrian transportation has received special attention as one of the most common modes of travel in urban transportation systems.In the case that the number of motor vehicles in the city is growing rapidly,road resources are limited,and the contradiction between slow traffic is deepening,the perfection of the pedestrian traffic system should be strengthened.At present,pedestrian traffic planning is backward,pedestrian traffic facilities and management measures are imperfect,resulting in a large number of waiting pedestrians choosing to cross the street.Traffic accidents occur frequently,and pedestrian safety is greatly threatened,seriously affecting the normal operation of the city’s overall transportation system.Domestic research on pedestrian traffic is mainly concerned with the analysis of the characteristics of pedestrian pedestrians and the evolutionary trends of pedestrians’ violations.Therefore,it is necessary to study the characteristics of pedestrians’ violations of street crossing behaviors.Understand the laws and evolutionary trends of pedestrians’ violations of street crossings,improve the pedestrian traffic shortages,promote the sustainable development of pedestrian traffic management,and achieve people-oriented.Firstly,the paper analyzes the behavioral characteristics and psychological characteristics of pedestrians crossing the street,and analyzes the influencing factors of pedestrian crossing behavior from three aspects:people,car and environment.Secondly,through the investigation of pedestrian traffic at the intersection of urban main roads or road sections,the investigation of pedestrian violations is conducted by means of manual investigation and video investigation as a supplementary method.Based on the analysis of the results of violation investigation,multiple pedestrians cross the street.The influencing factors of the selection,and the multi-logistic regression model were carried out by statistical analysis software SPSS,and the influencing factors of pedestrian crossing behaviors at intersections or sections were modeled and parameterized,and the main influencing factors were analyzed in the selection of pedestrians crossing the street.The results show that the model can reflect the characteristics of pedestrian crossing.At the same time,the thesis starts from the behavioral mechanism of pedestrian crossing,from the basic travel situation of pedestrians to the psychological changes of pedestrians crossing the street and the perception of the external situation.After a series of behavioral influences,pedestrians make decisions whether to cross the street,and the state of violations is also fed back.The basic state of the pedestrian,the final pedestrian makes the most correct crossing behavior.Thirdly,it expounds the communication mechanism of pedestrians crossing the street,and conducts research from the three stages of aggregation period,duration period and dissipation period.By analyzing the similarity between SIRS model and pedestrian crossing behavior,the communication model of pedestrian violation behavior is established.The Matlab software is used to explain the influence of various parameter changes on the propagation process,so as to explore the propagation law of illegal crossing behavior.Finally,the North Gate Crosswalk of Dalian Jiaotong University was selected as the research object to collect data related to pedestrian violations,and the model and measured data were simulated and analyzed by Matlab software.The results show that the model is just to express the basic pedestrian crossing behavior of pedestrian crossing,grasp the propagation rules of pedestrians crossing the street,verify the correctness of the model,and combine the initial stage,the aggregation stage and the dissipation stage of the communication process.Targeted improvement suggestions are of great significance for the future development of pedestrian crossing management measures in colleges and universities.