Research And Application Of Pedestrian Crossing Simulation Model At Pedestrian Crossings Without Signal Control

Pedestrians,as one of the main components of the urban road traffic system,are the "weak" in the entire road traffic system when engaging in street crossing behavior.Compared to signal controlled sections,there is a lack of signal control to ensure the right of way for pedestrians to cross the street,which further increases the risk of pedestrians crossing the street.This study mainly analyzes the pedestrian crossing behavior at signalless pedestrian crossings from three levels: macro,meso,and micro,and gradually delves into detail.Finally,a simulation model is established and applied.Firstly,as the basis for modeling in this study,the social force model provides a theoretical introduction to the original social force model,analyzes the shortcomings in existing social force model research,and proposes a method for calibrating the parameters of the social force model.Secondly,this study carried out a field survey on the non signal controlled pedestrian crossing section of Mount Huangshan Avenue in Chongqing.After statistical analysis of the collected information,it was found that the pedestrian crossing time follows the Guass distribution,and through research,it was found that the cumulative waiting time of pedestrians crossing the street has reached around 17.5 seconds,and most pedestrians are unwilling to wait anymore,and the pedestrian crossing waiting time follows the Giddings distribution.Furthermore,based on the collected pedestrian crossing traffic characteristics data information,the factor analysis method is used to analyze the factors that affect pedestrian crossing behavior in the non signal control section,and the factors are divided into the same kind of attributes according to the correlation between the factors,and a factor scoring model is established.Combining the binomial logistic model theory,it is analyzed from the perspective of pedestrian stop and go decisions that road environmental factors have the most significant impact on pedestrian crossing decisions.Then,based on the factor score model,a pedestrian stop and walk decision model and a pedestrian random motion model are established for pedestrian stop and walk decision-making behavior.Based on the social force model and the characteristics of non signal controlled road sections,existing models are improved from the perspectives of pedestrians and motor vehicles to establish a pedestrian stop and walk decision model and a road vehicle social force model,and parameter calibration is carried out.Based on MATLAB,the simulation platform was constructed and operated,and the effectiveness of the simulation model was verified from the pedestrian crossing speed,pedestrian crossing path,and other aspects obtained from the simulation.Finally,based on the established pedestrian crossing simulation model,research is conducted on the traffic ancillary settings of non signal controlled road sections.Through simulation analysis,it was found that setting a 3.6m guardrail can prevent 85% of pedestrians from overflowing when crossing the street.Using pedestrian crossing delay time as an evaluation indicator,the applicability of secondary crossing facilities was evaluated through simulation analysis under different single lane traffic flow conditions on lanes 4 and 6.Corresponding traffic management measures have been proposed for road sections without signal control.