Behavior Evolution of Multi-Group in the Process of Pedestrian Crossing Based on Evolutionary Game Theory

Abstract

The mixed traffic flow has an increasingly impact on the operation of urban traffic. To study the evolution law of multi-group behaviors in pedestrian crossing, we used the evolutionary game theory to establish a multi-group behavior evolution model for pedestrian crossing. The process of concern started from the risk perception and multi-group behavior choice. The evolutionary stability strategies, evolution trends, and factors affecting the evolutionary path of multi-group behaviors are discussed in this paper. This study found that evolutionary strategy equilibrium of pedestrians, drivers, and traffic managers not only relied on their own earning, but also on those of the other two groups. The factors affecting its behavior included the revenue factor and the limiting factor. Evolutionary game theory was used to analyze the multi-group interaction behavior of pedestrians, vehicle drivers, and traffic managers in the process of pedestrian crossing, as well as to analyze the behavior of traffic subjects in the process of pedestrian crossing. This paper provides a basis for decision-making for the traffic management department to manage road traffic, offering a new idea from the perspective of evolution for solving the conflict of interest at the crosswalk of the road section.

Behavioral Analysis of Subjects for Green Technology Innovation: A Tripartite Evolutionary Game Model

“…Research on green technology research and development mainly considers the role of enterprises as the main producers of technological products [20]. e rationality of choosing evolutionary games [21][22][23] lies in their ability to perform subject behavior analysis, which is consistent with the exploration of the choice of subject strategies in the development and application of green technologies, for example, scholars have used an evolutionary game approach to explore the dynamics of the behavior of parties involved in green buildings [24], other scholars have developed an evolutionary game model of real estate developers and consumers under different carbon tax policies to explore the impact of carbon tax policies on the choice of stakeholders in the construction industry [25]. Chen et al [26] developed two game models to explore the dynamic process of firms' choice of green innovation and the factors influencing that choice.…”

Analysis and Prediction of Pedestrians’ Violation Behavior at the Intersection Based on a Markov Chain

“…Generally speaking, the first pedestrian crossing the street will comprehensively judge the situation of the intersection and implement the corresponding behavior decision, while the subsequent pedestrian crossing the street will show a judgment and understanding in conformity with public opinion or the behavior of the majority under the influence of herd mentality. Studies have shown [5] that the herd psychology can prompt pedestrians who cross the street illegally to form a temporary group and influence the decision-making of each individual in the group to make the same choice.…”