Driving simulator for evaluating the effects of road geometric design on driver behavior

Abstract

The traditional approach adopted towards road safety is the analysis of risk factors that contribute to frequency or severity of traffic crashes. Many distinct elements play a role, simultaneously, in a crash occurrence, and, undoubtedly, geometric design of highways and its effect on human behavior are part of that equation. A valuable tool to investigate this interaction is the driving simulator. Nevertheless, experiment design, participants’ features, and data acquisition are detrimental factors for the effective use of this tool. This systematic review protocol is based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) Statement and presents a method to find evidence on driving simulator studies of road geometry effects on drivers´ behavior.

Analysis of Driving Control Characteristics in Typical Road Types

“…Therefore, thes studies on road geometry are different from our research. After summarizing related publications such as [29][30][31][32][33], we found that research process or results were identical to those in our study. Among those publications, the horizontal curve was the leading research topic.…”

“…Consequently, through a triple cross-analysis, the index set that could represent the driving control characteristics in different road types was obtained, as shown in Figure 20. We can draw the following conclusions: After summarizing related publications such as [29][30][31][32][33], we found that no research process or results were identical to those in our study. Among those publications, th horizontal curve was the leading research topic.…”

“…Entropy was first derived in physics and later developed into a common method in multi-objective decision-making and evaluation [30,31]. In the present study, the entropy weights have two roles: one is to directly reflect the weight of each index, and the other is to calculate the distance between indexes in a TOPSIS analysis.…”

Pedestrian–Vehicle Interaction at Unsignalized Crosswalks: A Systematic Review

“…Then, for each study, the qualification of the 15 criteria as a set will be analyzed to assign a final classification between Strong, Moderate, or Weak. The classification is based on the ranges of scores presented in Table 2, which in time is computed for each study by applying the equation 1, which is a function of the possible response options for each criterion [26]:…”