A Fuzzy-Logic Approach Based on Driver Decision-Making Behavior Modeling and Simulation

The present study proposes a decision-making model based on different models of driver behavior, aiming to ensure integration between road safety and crash reduction an examination speed limitations under weather conditions. investigated differences in attitude, conditions I-69 Flint, Genesee County, Michigan, using the fuzzy logic approach. A questionnaire-based survey was conducted among sample Singaporean (n = 100) professional drivers. Safety level assessed relation limits determine whether proposed limit contributed risky or safe situation. experimental results show that roads/in were participants’ responses. participants could increase keep their current reduce little significantly. used needed number crashes implement driving weather. Changing from 80 mph 70 reduced occurring wet According algorithm, driver’s emotions can predict outputs. For this study, algorithm evaluated drivers’ according weather/road condition limit. would contribute assessing powerful feature human control. explain smooth relationships input output. input–output relationship estimated by understand feelings varying road/weather at limits.