Research progress of road traffic safety in cooperative vehicle infrastructure environment
As a major component of intelligent transportation systems,cooperative vehicle infrastruc-ture technology actively identifies traffic safety risks through real-time communication between vehi-cles,humans,roads,and the environment and thus plays a critical role in preventing road accidents.To explore the research progress of road traffic safety based on vehicle road coordination technology,this study summarizes the relevant research results in the fields of vehicle emergency collision and risk warning,vehicle anti-rear-end control,bad driving behavior analysis,intersection conflict analy-sis,and road safety risk assessment,and combs the relevant research methods,theoretical models,and system architectures.Current research has focused on microscopic driving behavior modeling and simulation evaluation,driving simulation practice based on virtual reality technology,evaluation and optimization of multi-level control method fusion,and road risk assessment from the perspective of safety field theory.Through combing,the following deficiencies are found:First,some limitations exist with the current collision model construction process,and the key characteristic elements,such as the human-vehicle-road environment,have not been comprehensively considered.In particular,collision risk modeling based on multidimensional characteristic elements of the driver(such as phys-iology,psychology,and behavior)is insufficient.Therefore,the model often exaggerates or underesti-mates the actual risk levels.Simultaneously,multi-source information acquisition and fusion do not fully consider the diversity of various sensors and data sources and ignore errors related to data asso-ciation and weight distribution.In particular,research on large-scale road traffic information percep-tion based on vehicle and roadside sensor fusion must be strengthened.Second,due to the driver's overreliance on automatic driving systems in a cooperative vehicle infrastructure environment,the driver loses the ability to judge dangers.To date,few studies have conducted in-depth investigations of the driver decision-making mechanism,multimode interaction mechanism between the automatic driving system and artificial driver,and reliability evaluation of the safety takeover of an artificial driver.Research on poor driving behavior still lacks a quantitative analysis of dangerous driving be-havior between vehicle clusters under dense traffic flow conditions,and the interaction and coopera-tive behavior between vehicle clusters must be investigated.Finally,in terms of traffic conflict analy-sis and safety risk assessment,existing research has not explored the mechanism of multi-type traffic risk induction and transformation within a certain time and space range.The quantitative assessment of road traffic safety based on multisource traffic risk superposition remains an urgent research prob-lem to be solved.This research was conducted from the perspectives of perception fusion,efficiency evaluation,cluster analysis,and superposition quantification,thus providing a reference for road traf-fic safety research and technology applications in cooperative vehicle infrastructure environments.
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维普
