Analysis on Illegal Crossing Behavior of Pedestrians at Signalized Intersections Based on Bayesian Network
Table 1
Literature review on illegal crossings of pedestrians.
Study focus
Literature review
Factors
Pedestrian attributes
Traffic conditions
Road conditions
Age [1], gender [2], crowd size [3], clothing [3], luggage [4], cultural backgrounds [5], alcohol use [6, 7], social psychology [2, 8–10], etc.
Pedestrian flow [11], waiting time [12], left-turn ratio of vehicle [13], etc.
Distance of crosswalk [14], countdown displays [15], intersection type [16], etc.
Data collection
Data from video recording [1, 17–20], data from questionnaire survey [2, 8], virtual reality experimental data [21], reported data from police [22], database [6], etc.
Illegal behaviors
Characteristics of illegal crossings
Influence mechanism of factors
Safety analysis of pedestrian
Process of crossing in various states [3], crossing pattern [23], statistical analysis of violation [5], parameters of crossing [14], etc.
Analysis on relation between crossing at a red light and factors [5, 15, 24]
The gap acceptance of illegal crossing [1, 25] and risk of pedestrian-vehicle collisions [22, 26]
Research methods
Descriptive statistical method [27–30]; regression analysis methods: binary regression analysis [8], polynomial regression analysis [31], logical regression analysis [11] and hierarchical regression analysis [5]. Difference significance analysis: one-way ANOVA [32, 33] and test [34]. Disaggregated method [35–37]; Structural equation model [38]; Petri Nets (PN) model [39] and traffic flow model [40]
