Journal
RENEWABLE & SUSTAINABLE ENERGY REVIEWS
Volume 136, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.rser.2020.110419
Keywords
Electric vehicles; Ride-hailing services; Cyber-physical-human system
Funding
- National Key Research and Development Program of China [2017YFB0903000]
- Cyber Physical Systems for Power Grid
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This paper introduces a user-centric dynamic pricing scheme to incentivize human participants to follow expected behavioral patterns, effectively optimizing the integrated system in the urban IETS scenarios based on real-world GPS data of EV taxis.
This paper solves the vehicle assignment problem of an operating entity with dispatchable vehicles (e.g., an urban Integrated Energy-Traffic System (IETS) coordinator or an e-hailing company) in the context of energy traffic coordinated modeling and analysis. Current research on electric vehicle (EV) scheduling and optimization has broadly assumed that human beings are rational decision-makers and obey the scheduling plan. In contrast, we proposed a user-centric dynamic pricing scheme that improves the system performance by incentivizing human participants to follow the expected behavioral patterns from a Cyber-Physical-Human System (CPHS) perspective. The interdisciplinary fields of power systems, traffic systems, and human decision-making were used to study the interactions in the CPHS. The proposed incentive scheme was applied to the urban IETS scenarios based on real-world Global Positioning System (GPS) data of EV taxis, and the results showed that it effectively optimized the integrated system.
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