Evaluating Vehicle Energy Efficiency in Urban Transport Systems Based on Fuzzy Logic Models

This work solves the task of developing a fuzzy logic model for evaluating energy efficiency vehicles as part control unit an intelligent transport system. Within scope this study, previously obtained morphological system was modified. A mathematical dependence is proposed to determine vehicle indicator. characterizes consumption in relation under reference operating conditions. Synthesis configurations performed, and procedures were used transform formulas received into base logical derivation rules. Parameters membership functions parameters terms area their definition are defined. Based on results analysis, two models developed: Mamdani type Sugeno type. The accuracy modeling evaluated using different defuzzification algorithms sample. most accurate model, with value 98.8%. Using developed nature mutual influence level assessed. study can be justify choice specified conditions settlement design road infrastructure.