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 …
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
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 …
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
Charging processes are the key to promoting electric taxis and improving their operational
efficiency due to frequent charging activities and long charging time. Nevertheless …
efficiency due to frequent charging activities and long charging time. Nevertheless …
A batch reinforcement learning approach to vacant taxi routing
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 …
(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
Shared electric micromobility (eg, shared electric bikes and electric scooters), as an
emerging way of urban transportation, has been increasingly popular in recent years …
emerging way of urban transportation, has been increasingly popular in recent years …
Information Cascade Prediction under Public Emergencies: A Survey
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 …
accuracy models bring great opportunities to the information cascade prediction of public …
REDE: Exploring Relay Transportation for Efficient Last-mile Delivery
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 …
dedicated couriers. In practice, each courier generally collects orders destined for one …
Human Preference-aware Rebalancing and Charging for Shared Electric Micromobility Vehicles
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 …
its efficiency in short-distance trips and environmentally friendly characteristics compared to …
Efficient Bike-sharing Repositioning with Cooperative Multi-Agent Deep Reinforcement Learning
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 …
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 …
crucial for advancing green transportation and deploying effective charging infrastructure …