Sharing instant delivery UAVs for crowdsensing: A data-driven performance study

J Gao, Y Pan, X Zhang, Q Han, Y Hu - Computers & Industrial Engineering, 2024 - Elsevier
In recent years, there has been a significant increase in demand for instant deliveries, such
as rapid delivery of takeaway food and medicine. Many logistics companies are planning to …

Cross-region courier displacement for on-demand delivery with multi-agent reinforcement learning

S Wang, S Hu, B Guo, G Wang - IEEE Transactions on Big Data, 2023 - ieeexplore.ieee.org
On-demand delivery has become prevailing for people to order meals and groceries online,
especially during the pandemic. It is essential to dispatch massive orders to limited couriers …

ForETaxi: data-driven fleet-oriented charging resource allocation in large-scale electric taxi networks

G Wang, Y Chen, S Wang, F Zhang… - ACM Transactions on …, 2023 - dl.acm.org
Charging processes are the key to promoting electric taxis and improving their operational
efficiency due to frequent charging activities and long charging time. Nevertheless …

A batch reinforcement learning approach to vacant taxi routing

X Yu, S Gao - Transportation Research Part C: Emerging …, 2022 - Elsevier
The optimal routing of a single vacant taxi is formulated as a Markov Decision Process
(MDP) problem to account for profit maximization over a full working period in a …

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 …

Information Cascade Prediction under Public Emergencies: A Survey

Q Zhang, G Wang, L Lin, K **a, S Wang - arxiv preprint arxiv:2404.01319, 2024 - arxiv.org
With the advent of the era of big data, massive information, expert experience, and high-
accuracy models bring great opportunities to the information cascade prediction of public …

REDE: Exploring Relay Transportation for Efficient Last-mile Delivery

W Lyu, H Wang, Z Hong, G Wang… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Last-mile delivery from delivery stations to customers' places is now mainly finished by
dedicated couriers. In practice, each courier generally collects orders destined for one …

Human Preference-aware Rebalancing and Charging for Shared Electric Micromobility Vehicles

H Tan, Y Yuan, H Yan, S Zhong… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Shared electric micromobility has surged to a popular model of urban transportation due to
its efficiency in short-distance trips and environmentally friendly characteristics compared to …

Efficient Bike-sharing Repositioning with Cooperative Multi-Agent Deep Reinforcement Learning

Y **g, B Guo, Y Liu, D Zhang, D Zeghlache… - ACM Transactions on …, 2024 - dl.acm.org
As an emerging mobility-on-demand service, bike-sharing system (BSS) has spread all over
the world by providing a flexible, cost-efficient, and environment-friendly transportation mode …

Heterogeneity in electric taxi charging behavior: Association with travel service characteristics

H Cai, B Li, W Li, J Wang - Travel Behaviour and Society, 2025 - Elsevier
A comprehensive understanding of charging behaviors among electric vehicle users is
crucial for advancing green transportation and deploying effective charging infrastructure …