A survey on service route and time prediction in instant delivery: Taxonomy, progress, and prospects

H Wen, Y Lin, L Wu, X Mao, T Cai, Y Hou… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Instant delivery services, such as food delivery and package delivery, have achieved
explosive growth in recent years by providing customers with daily-life convenience. An …

Graph2route: A dynamic spatial-temporal graph neural network for pick-up and delivery route prediction

H Wen, Y Lin, X Mao, F Wu, Y Zhao, H Wang… - Proceedings of the 28th …, 2022 - dl.acm.org
Pick-up and delivery (P&D) services such as food delivery have achieved explosive growth
in recent years by providing customers with daily-life convenience. Though many service …

Drl4route: A deep reinforcement learning framework for pick-up and delivery route prediction

X Mao, H Wen, H Zhang, H Wan, L Wu… - Proceedings of the 29th …, 2023 - dl.acm.org
Pick-up and Delivery Route Prediction (PDRP), which aims to estimate the future service
route of a worker given his current task pool, has received rising attention in recent years …

Service time prediction for delivery tasks via spatial meta-learning

S Ruan, C Long, Z Ma, J Bao, T He, R Li… - Proceedings of the 28th …, 2022 - dl.acm.org
Service time is a part of time cost in the last-mile delivery, which is the time spent on
delivering parcels at a certain location. Predicting the service time is fundamental for many …

Modeling intra-and inter-community information for route and time prediction in last-mile delivery

Y Qiang, H Wen, L Wu, X Mao, F Wu… - 2023 IEEE 39th …, 2023 - ieeexplore.ieee.org
Last-mile delivery, which refers to delivering packages from the depot to customers, is a
crucial step for logistics service. The Route and Time Prediction (RTP) in last-mile package …

A variable neighborhood search algorithm for locker-based drone delivery makespan minimization problem

W Zhu, H Sun, X Hu, Y Ma - Transportation Research Part E: Logistics and …, 2024 - Elsevier
This article studies a novel makespan minimization problem for locker-based drone delivery
in which several automatic drones take lockers as launching and landing platforms. It is a …

Algoritmos de optimización para secuenciación adaptativa de rutas reales en entregas de última milla

FH Gobertti, R Sotelo, M Forets - Ingenius. Revista de …, 2024 - scielo.senescyt.gob.ec
Este artículo explora el diseño y aplicación de técnicas de aprendizaje automático para
mejorar los enfoques tradicionales y así resolver problemas de optimización NP-hard. En …

Attention enhanced package pick-up time prediction via heterogeneous behavior modeling

B Guo, W Zuo, S Wang, X Zhou, T He - International Conference on …, 2023 - Springer
The logistics industry has developed rapidly with the popularity of online-to-offline
businesses in recent years. First-mile package pick-up is one of the most critical and …

Spatial Meta Learning With Comprehensive Prior Knowledge Injection for Service Time Prediction

S Wang, Q Yang, S Ruan, C Long… - … on Knowledge and …, 2024 - ieeexplore.ieee.org
Intelligent logistics relies on accurately predicting the service time, which is a part of time
cost in the last-mile delivery. However, service time prediction (STP) is non-trivial given …

CourIRL: Predicting Couriers' Behavior in Last-Mile Delivery Using Crossed-Attention Inverse Reinforcement Learning

S Wang, T Kong, B Guo, L Lin, H Wang - Proceedings of the 33rd ACM …, 2024 - dl.acm.org
Human behavior prediction is an essential AI-based task, which has inspired many real-
world applications. In last-mile logistics, predicting couriers' behavior can benefit the …