Abstract
To prevent the energy security problem and reduce greenhouse gas from transportation sector, electric vehicle is the way of countermeasure to prevent this issue. Over half of all vehicles in Thailand are motorcycles which are private and public motorcycle. This research is developing the energy consumption model of motorcycle and electric motorcycle by used Artificial Neuro-Fuzzy Inference Systems (ANFIS) method. The physical and technical information of motorcycles in this study are collected from questionnaire that survey in Bangkok and metropolitan area. ANOVA technique is used to determine the significant factors that affect energy consumption of motorcycles which are engine size (cc.), age (year), distance (km/day), average speed (km/hr.) and number of passenger. These significant factors are selected to be the input data of the model whereas the output data is energy consumption (MJ/km.). The result of this research shown that the comparted energy economy of the motorcycle and electric motorcycle. Furthermore, energy consumption in transportation sector is simulated by multi scenario of the number of motorcycle and electric motorcycle in the future. Finally, this developed model can forecast the energy consumption in order to preparation of future transportation energy planning.
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