D3P: Data-driven demand prediction for fast expanding electric vehicle sharing systems

M Luo, B Du, K Klemmer, H Zhu… - Proceedings of the …, 2020 - dl.acm.org
The future of urban mobility is expected to be shared and electric. It is not only a more
sustainable paradigm that can reduce emissions, but can also bring societal benefits by …

[PDF][PDF] Dynamic demand prediction for expanding electric vehicle sharing systems: A graph sequence learning approach

M Luo, H Wen, Y Luo, B Du, K Klemmer… - arXiv preprint arXiv …, 2019 - researchgate.net
Electric Vehicle (EV) sharing systems have recently experienced unprecedented growth
across the globe. Many car sharing service providers as well as automobile manufacturers …

Modeling usage frequencies and vehicle preferences in a large-scale electric vehicle sharing system

S Hu, H Lin, X Chen, K Xie… - IEEE Intelligent …, 2020 - ieeexplore.ieee.org
Carsharing systems deploying electric vehicles (EVs) have grown significantly over recent
years. This study aims to employ data-driven approaches to understand users' decision …

Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand

H Tan, Y Yuan, S Zhong, Y Yang - Proceedings of the 32nd ACM …, 2023 - dl.acm.org
Shared electric micromobility (eg, shared electric bikes and electric scooters), as an
emerging way of urban transportation, has been increasingly popular in recent years …

[HTML][HTML] A data-driven framework for medium-term electric vehicle charging demand forecasting

A Orzechowski, L Lugosch, H Shu, R Yang, W Li… - Energy and AI, 2023 - Elsevier
The rapid phase-in of electric vehicles (EV) will cause unprecedented issues with managing
the supply of electricity and charging stations. It is in the interest of utility providers and …

Service operations of electric vehicle carsharing systems from the perspectives of supply and demand: A literature review

Z Yao, M Gendreau, M Li, L Ran, Z Wang - Transportation Research Part C …, 2022 - Elsevier
Electric vehicle carsharing (EV-carsharing) systems not only change how people travel, but
also provide economic and environmental benefits. However, EV-carsharing systems also …

Record: Joint real-time repositioning and charging for electric carsharing with dynamic deadlines

G Wang, Z Qin, S Wang, H Sun, Z Dong… - Proceedings of the 27th …, 2021 - dl.acm.org
Electric carsharing, ie, electric vehicle sharing, as an emerging mobility-on-demand service,
has been proliferating worldwide recently. Though providing convenient, low-cost, and …

A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction

H Qu, H Kuang, Q Wang, J Li… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Along with the proliferation of electric vehicles (EVs), optimizing the use of EV charging
space can significantly alleviate the growing load on intelligent transportation systems. As …

Deep spatio-temporal forecasting of electrical vehicle charging demand

FB Hüttel, I Peled, F Rodrigues, FC Pereira - arXiv preprint arXiv …, 2021 - arxiv.org
Electric vehicles can offer a low carbon emission solution to reverse rising emission trends.
However, this requires that the energy used to meet the demand is green. To meet this …

Stg2seq: Spatial-temporal graph to sequence model for multi-step passenger demand forecasting

L Bai, L Yao, S Kanhere, X Wang, Q Sheng - arXiv preprint arXiv …, 2019 - arxiv.org
Multi-step passenger demand forecasting is a crucial task in on-demand vehicle sharing
services. However, predicting passenger demand over multiple time horizons is generally …