DOI:10.1007/s40565-018-0408-2 |
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Multi-agent modeling and analysis of EV users’ travel willingness based on an integrated causal/statistical/behavioral model |
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Net amount: 1185 |
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Author:
Juai WU1,2, Yusheng XUE2 , Dongliang XIE2, Kang LI3, Fushuan WEN4, Junhua ZHAO5, Guangya YANG6, Qiuwei WU6
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Author Affiliation:
1. Nanjing University of Science & Technology, Nanjing 210094, China
2. State Grid Electric Power Research Institute, Nanjing 210003, China
3. Queen’s University, Belfast, Northern Ireland, UK
4. College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
5. Chinese University of Hong Kong, Shenzhen 518100, China
6. Department of Electrical Engineering, Center for Electric Power and Energy, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark
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Foundation: |
This work is supported by National Natural Science Foundation of China (No. 51407039), and State Grid Corporation Project “Analysis and function designs of correlations between the power system and its external information”. |
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Abstract: |
An electric vehicle (EV) centred ecosystem has
not yet been formed, the existing limited statistic data are far
from enough for the analysis of EV users’ travel and charge
behaviors, which however tends to be affected by many
certain and uncertain factors. An experimental economics
(EE) based simulation method can be used to analyze the
behaviors of key participants in a system. However, it is
restricted by the system size, experimental site and the
number of qualified human participants. Therefore, this
method is hard to be adopted for the behavioral analysis of a
large number of human participants. In this paper, a new
method combining a questionnaire statistics and the EEbased
simulation is proposed. The causal relationship is
considered in the design of the questionnaires and data
extraction, then a multi-agent modeling integration method
is introduced in the EE-based simulation, which enables the
integration of causal/statistical/behavioral models into the
multi-agent framework to reflect the EV users’ travel willingness
statistically. The generated multi-agents are used to
replace human participants in the EE-based simulation in
order to evaluate EV users’ travel demands in different
scenarios, and compare the differences of simulated or
measured travel behaviors between potential EV users and
internal combustion engine (ICE) vehicle users. |
Keywords: |
Travel willingness, Questionnaire design,Multi-agent, Experimental economics, Causal analysis |
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Online Time:2018/11/11 |
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